BlackPearl introduction

•

0 gostou•933 visualizações

inside-BigData.com

This presentation from Spectra Logic describes the BlackPearl Deep Storage Appliance. "BlackPearl enables the use of tape to easily store massive volumes of data objects and is ideal for any compute environment that needs to store data for long periods of time. The appliance sets the stage for the adoption of deep storage tiers across new and expanding use cases that currently cannot easily access the absolute lowest cost storage option due to the historic lack of RESTful, web-based interfaces to tape library storage,” said Molly Rector, executive vice president product management and worldwide marketing, Spectra Logic." Learn more: http://inside-bigdata.com/2013/10/10/deep-storage-low-cost-tape-storage-comes-hadoop/

Embargoed*un-l*Thursday*

Client
Software
FC
SAS
Object
Interface
10 GigE
Standard
Objects
to
Deep
Storage
Easiest*Way*to*Move*Bulk*Data*

1.4 PB
uncompressed
Archive(Grade(NAS(Disk(
Spectra*BlackPearl*plus*
T950*with*TS1140*drives*
6.4 PB uncompressed
Spectra*BlackPearl*plus*
T950*with*LTO*drives*
2.4 PB uncompressed
Spectra*BlackPearl*plus*
T380*with*LTO*drives*
1.9 PB uncompressed
Absolute*Lowest*Cost*Way*to*Store*Data*

Most*Scalable*LongBterm*Storage*Available*
•  Fastest*transfer*of*large*storage*objects*
•  Easily*expands*to*Exabytes*and*beyond**
•  Designed*to*keep*data*virtually*forever*

Spectra*BlackPearl™*Deep*Storage*Appliance*
David*Trachy*
Senior*Director*Emerging*Markets*

What*does*the*BlackPearl*appliance*
do?**Data(
Crea@on(
Spectra(
BlackPearl(
FC(
SAS(
Tape(Library(
DS3(Client(
SoGware(
Objects(
Created(

Black*Pearl*Hardware*
• Spectra*Installed*/Serviced*
• En-rely*Spectra*Technology*
• DS3*Interface*/*10Gbit*Ethernet***
• Fibre*Channel*or*SAS*to*Tape**

LTFS*Support*

Media*Migra-on*

Media*Migra-on*to*Future*Storage*
Mediums*

Spectra*Library*Integra-on*
• Media*Lifecycle*Management*
• Data*Scrubbing*(DIV)*
• Single*Point*of*Management*
• Improved*Tape*Drive*Diagnos-cs*

The(Past(
•  SCSI/FC*Block **
•  Files*
•  Proprietary*Data*Formats*
•  High*cost*middleware*
•  Tape*for*specialists*
•  Tape*for*backup*
The(Future(
•  Simple*Storage*Service*(S3)*
•  Buckets*
•  Open*Data*Formats*(LTFS)*
•  Reduced*middleware*need*
•  Tape*for*the*masses*
•  Tape*for*object,*ﬁle,*Web,*
archive*

Client
Software
FC
SAS
Object
Interface
10 GigE
Standard
Objects
to
Deep
Storage
Easiest*Way*to*Move*Bulk*Data*
Inside(BlackPearl:(
!  SSD(
!  Object(Catalog(
!  Tape(Library(
Management(
!  LTFS(
!  Data(Integrity(
Veriﬁca@on(
!  Data(Security(
!  Integra@on(
with(BlueScale(
(

Mais conteúdo relacionado

Mais procurados

Kkeithley ufonfs-gluster summit

Kkeithley ufonfs-gluster summit

Kkeithley ufonfs-gluster summit

04 Bobcat LAN

Start from the advantages and disadvantages of blockchain technology, and stat why decentralized storage is so important. IPFS is the most popular technology/platform to implement decentralized storage and already in use in many fields. However, Filecoin is still under development. Ulord, as a blockchain platform, which use IPFS as a lower infrastructure, using a different way to implement whole mechanism is a practical way for decentralized applications.

Decentralized storage IPFS & Ulord

Decentralized storage IPFS & Ulord

Decentralized storage IPFS & Ulord

LargeCorp_AccessData_Examiner3TopologyChart_Revised22June2011_byERoberseon

LargeCorp_AccessData_Examiner3TopologyChart_Revised22June2011_byERoberseon

LargeCorp_AccessData_Examiner3TopologyChart_Revised22June2011_byERoberseon

IPFS introduction

IPFS introduction

IPFS introduction

BlankOn Server - Lesson Learned

BlankOn Server - Lesson Learned

BlankOn Server - Lesson Learned

Andika Triwidada

Passwords Found on a Wireless Network

Passwords Found on a Wireless Network

Passwords Found on a Wireless Network

Administration

Ipfs

CoreOS introduction - Johann Romefort

CoreOS introduction - Johann Romefort

CoreOS introduction - Johann Romefort

Slider2

Ali Ebrahimpour

Mais procurados (11)

Kkeithley ufonfs-gluster summit

Kkeithley ufonfs-gluster summit

Kkeithley ufonfs-gluster summit

04 Bobcat LAN

Decentralized storage IPFS & Ulord

Decentralized storage IPFS & Ulord

Decentralized storage IPFS & Ulord

LargeCorp_AccessData_Examiner3TopologyChart_Revised22June2011_byERoberseon

LargeCorp_AccessData_Examiner3TopologyChart_Revised22June2011_byERoberseon

LargeCorp_AccessData_Examiner3TopologyChart_Revised22June2011_byERoberseon

IPFS introduction

IPFS introduction

IPFS introduction

BlankOn Server - Lesson Learned

BlankOn Server - Lesson Learned

BlankOn Server - Lesson Learned

Passwords Found on a Wireless Network

Passwords Found on a Wireless Network

Passwords Found on a Wireless Network

Administration

Ipfs

CoreOS introduction - Johann Romefort

CoreOS introduction - Johann Romefort

CoreOS introduction - Johann Romefort

Slider2

Destaque

8th pre alg -l30

8th pre alg -l30

8th pre alg -l30

Louisiana coastal master plan

Louisiana coastal master plan

Louisiana coastal master plan

inside-BigData.com

In this deck from the 2015 PBS Works User Group, Dale Talcott from the NASA Advanced Supercomputing (NAS) Division presents: Prologue O/S - Improving the Odds of Job Success. "When looking to buy a used car, you kick the tires, make sure the radio works, check underneath for leaks, etc. You should be just as careful when deciding which nodes to use to run job scripts. At the NASA Advanced Supercomputing Facility (NAS), our prologue and epilogue have grown almost into an extension of the O/S to make sure resources that are nominally capable of running jobs are, in fact, able to run the jobs. This presentation describes the issues and solutions used by the NAS for this purpose." Learn more: http://www.pbsworks.com/pbsug/2015/agenda.aspx Watch the video presentation: https://www.youtube.com/watch?v=eQfowQK8PE4 Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Prologue O/S - Improving the Odds of Job Success

Prologue O/S - Improving the Odds of Job Success

Prologue O/S - Improving the Odds of Job Success

inside-BigData.com

In this video from the 2015 HPC User Forum in Broomfield, Barry Bolding from Cray presents: HPC + D + A = HPDA? "The flexible, multi-use Cray Urika-XA extreme analytics platform addresses perhaps the most critical obstacle in data analytics today — limitation. Analytics problems are getting more varied and complex but the available solution technologies have significant constraints. Traditional analytics appliances lock you into a single approach and building a custom solution in-house is so difficult and time consuming that the business value derived from analytics fails to materialize. In contrast, the Urika-XA platform is open, high performing and cost effective, serving a wide range of analytics tools with varying computing demands in a single environment. Pre-integrated with the Hadoop and Spark frameworks, the Urika-XA system combines the benefits of a turnkey analytics appliance with a flexible, open platform that you can modify for future analytics workloads. This single-platform consolidation of workloads reduces your analytics footprint and total cost of ownership." Learn more: http://www.cray.com/products/analytics/urika-xa Watch the video presentation: http://wp.me/p3RLEV-3yR Sign up for our insideBIGDATA Newsletter: http://insidebigdata.com/newsletter

Cray HPC + D + A = HPDA

Cray HPC + D + A = HPDA

Cray HPC + D + A = HPDA

inside-BigData.com

PBS Works at Imperial College: 30 Million Jobs a Year and Counting

PBS Works at Imperial College: 30 Million Jobs a Year and Counting

PBS Works at Imperial College: 30 Million Jobs a Year and Counting

inside-BigData.com

BSC and Integrating Persistent Data and Parallel Programming Models

BSC and Integrating Persistent Data and Parallel Programming Models

BSC and Integrating Persistent Data and Parallel Programming Models

inside-BigData.com

Slides from Spectra Logic’s inaugural BlackPearl Developer Summit, a virtual conference for current and potential Spectra Logic developers. You’ll get product updates from our CEO and BlackPearl product manager, and you will learn how these new features will help customers and developers. You will learn how to build a Spectra S3 client for BlackPearl, our private cloud gateway to our tape and disk storage systems. You will see how one of our partners developed a client and watch it in action. And you will get to ask questions to our BlackPearl Engineering team. Watch the Summit recording at https://www.youtube.com/watch?v=GYoSwrvhVM0

Spectra Logic BlackPearl Developer Summit 2015

Spectra Logic BlackPearl Developer Summit 2015

Spectra Logic BlackPearl Developer Summit 2015

Spectra Developer Summit 2016 Event Agenda: • Corporate updates from Spectra CEO Nathan Thompson • BlackPearl product overview and enhancements • Learn what tools are available to help develop a BlackPearl client • Partner presentation detailing client development • Learn how easy it is to integrate an existing BlackPearl client into your workflow • Demonstration of Avid PAM and BlackPearl integration • Question and answer with our BlackPearl Developer Program team

Spectra Logic's BlackPearl Developers Summit 2016

Spectra Logic's BlackPearl Developers Summit 2016

Spectra Logic's BlackPearl Developers Summit 2016

At insideHPC, are very pleased to publish The Print ‘n Fly Guide to SC13 in Denver. We designed this 24-page Guide to be an in-flight magazine custom tailored for your journey to the Supercomputing conference in the Mile-High city. Contents * The Fast Data Imperative – an interview with Mellanox CTO Michael Kagen * Interview: Conference Chair Bill Gropp on the 25th Anniversary of SC * Technical Marketing in the Age of HPC * Local’s Guide to Restaurants in Denver * Move Over, HPCers: Another Wave of Immigrants is Hitting Your Shores by IDC’s Steve Conway * SC 25th Anniversary – The Complete History of Keynotes * Local’s Guide to Bars and Entertainment in Denver * Brian Sparks and Scot Schultz on the Secrets of Technical Marketing * An Update to the Exascale Progress Meter * City Guide: SC13 Comes to Denver, Colorado * Sci-Fi Original: The Observer Effect by Rich Brueckner We hope that you find Print ‘n Fly useful and we’d like to thank Mellanox for sponsoring the publication this year. If you see them on the show floor, be sure to stop in and say Hello.

Print ‘n Fly Guide to SC13 in Denver

Print ‘n Fly Guide to SC13 in Denver

Print ‘n Fly Guide to SC13 in Denver

inside-BigData.com

In this deck from the Docker Workshop at ISC 2015, Andreas Schmidt from Cassini Consulting describes Docker in a Nutshell "As the newest flavor of Linux Containers, Docker gained a lot of momentum in the last 12 months. With a very convenient and open API-driven architecture Docker is able to help decrease the complexity of operations and increase the productivity of computation. During the last two years Andreas, Christian, and Wolfgang gained a lot of experience with Docker and were thrilled by its possible impact early on. Andreas started working with Docker in mid-2013 and is interested in developing tools for solving Enterprise IT requirements on networking and security. In 2014 he held talks and workshops about these topics. Christian started using Docker in 2013 to virtualize a complete HPC cluster stack and since then held multiple talks about how Docker might impact HPC. Wolfgang and his partner Burak Yenier introduced Docker as a corner-stone of the UberCloud Marketplace to drastically improve and simplify access to HPC cloud resources. UberCloud just announced their new containers for computational fluid dynamics software like Fluent, STAR-CCM+ and OpenFOAM." Watch the video presentation: http://wp.me/p3RLHQ-enP Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Docker for HPC in a Nutshell

Docker for HPC in a Nutshell

Docker for HPC in a Nutshell

inside-BigData.com

In this slidecast, OpenACC President Duncan Poole leads a panel of speakers describing the latest additions to OpenACC. Speakers include Oscar Hernandez from ORNL, Nathan Sidwell from Mentor Graphics, and Michael Wolfe from PGI. Three new institutions have recently joined OpenACC as members including Louisiana State University, Mentor Graphics Corporation and the U.S. National Oceanic and Atmospheric Administration (NOAA). They join 15 other HPC leaders from around the world at the forefront of applications development for accelerator-enabled systems. In a related development, Mentor Graphics revealed that OpenACC extensions will be supported in mainstream GCC compilers. Watch the video presentation: http://wp.me/p3RLHQ-aPC

OpenACC SC13 Press Briefing

OpenACC SC13 Press Briefing

OpenACC SC13 Press Briefing

inside-BigData.com

This launch presentation describes the Continuuity Reactor 2.0 Big Data App server. "Continuuity enabled our developers to easily build, deploy, scale and run our app without worrying about standing up and managing a Big Data infrastructure," said Sean Pudney, VP Engineering at Payvment. "Thanks to Continuuity, we were able to slash time to market for a Big Data app that processes real-time signals from millions of people across the Web to power our social e-commerce discovery destination, Lish.com." Watch the video presentation: http://wp.me/p3RLEV-1p6

Continuuity 2.0 The Big Data App Server

Continuuity 2.0 The Big Data App Server

Continuuity 2.0 The Big Data App Server

inside-BigData.com

HPC in a Box - Docker Workshop at ISC 2015

HPC in a Box - Docker Workshop at ISC 2015

HPC in a Box - Docker Workshop at ISC 2015

inside-BigData.com

PBS and Scheduling at NCI: The past, present and future

PBS and Scheduling at NCI: The past, present and future

PBS and Scheduling at NCI: The past, present and future

inside-BigData.com

Now in Beta, COSMIC is NEC’s system software that enables seamless Xeon Phi coprocessor sharing. It is completely transparent to applications and all other system software components. COSMIC is useful in organizations where several users share one or more Xeon Phi-based servers. It can reduce capital cost by efficiently utilizing fewer servers. Learn more: http://www.nec-labs.com/research/system/systems_arch-website/cosmic.php Watch the video presentation: http://wp.me/p3RLHQ-bbE

COSMIC: Middleware for Xeon Phi Servers and Clusters

COSMIC: Middleware for Xeon Phi Servers and Clusters

COSMIC: Middleware for Xeon Phi Servers and Clusters

inside-BigData.com

Destaque (15)

8th pre alg -l30

8th pre alg -l30

8th pre alg -l30

Louisiana coastal master plan

Louisiana coastal master plan

Louisiana coastal master plan

Prologue O/S - Improving the Odds of Job Success

Prologue O/S - Improving the Odds of Job Success

Prologue O/S - Improving the Odds of Job Success

Cray HPC + D + A = HPDA

Cray HPC + D + A = HPDA

Cray HPC + D + A = HPDA

PBS Works at Imperial College: 30 Million Jobs a Year and Counting

PBS Works at Imperial College: 30 Million Jobs a Year and Counting

PBS Works at Imperial College: 30 Million Jobs a Year and Counting

BSC and Integrating Persistent Data and Parallel Programming Models

BSC and Integrating Persistent Data and Parallel Programming Models

BSC and Integrating Persistent Data and Parallel Programming Models

Spectra Logic BlackPearl Developer Summit 2015

Spectra Logic BlackPearl Developer Summit 2015

Spectra Logic BlackPearl Developer Summit 2015

Spectra Logic's BlackPearl Developers Summit 2016

Spectra Logic's BlackPearl Developers Summit 2016

Spectra Logic's BlackPearl Developers Summit 2016

Print ‘n Fly Guide to SC13 in Denver

Print ‘n Fly Guide to SC13 in Denver

Print ‘n Fly Guide to SC13 in Denver

Docker for HPC in a Nutshell

Docker for HPC in a Nutshell

Docker for HPC in a Nutshell

OpenACC SC13 Press Briefing

OpenACC SC13 Press Briefing

OpenACC SC13 Press Briefing

Continuuity 2.0 The Big Data App Server

Continuuity 2.0 The Big Data App Server

Continuuity 2.0 The Big Data App Server

HPC in a Box - Docker Workshop at ISC 2015

HPC in a Box - Docker Workshop at ISC 2015

HPC in a Box - Docker Workshop at ISC 2015

PBS and Scheduling at NCI: The past, present and future

PBS and Scheduling at NCI: The past, present and future

PBS and Scheduling at NCI: The past, present and future

COSMIC: Middleware for Xeon Phi Servers and Clusters

COSMIC: Middleware for Xeon Phi Servers and Clusters

COSMIC: Middleware for Xeon Phi Servers and Clusters

Mais de inside-BigData.com

In this deck from the Stanford HPC Conference, Shahin Khan from OrionX describes major market Shifts in IT. "We will discuss the digital infrastructure of the future enterprise and the state of these trends." "We work with clients on the impact of Digital Transformation (DX) on them, their customers, and their messages. Generally, they want to track, in one place, trends like IoT, 5G, AI, Blockchain, and Quantum Computing. And they want to know what these trends mean, how they affect each other, and when they demand action, and how to formulate and execute an effective plan. If that describes you, we can help." Watch the video: https://wp.me/p3RLHQ-lPP Learn more: http://orionx.net and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Major Market Shifts in IT

Major Market Shifts in IT

Major Market Shifts in IT

inside-BigData.com

In this deck from IWOCL / SYCLcon 2020, Hal Finkel from Argonne National Laboratory presents: Preparing to program Aurora at Exascale - Early experiences and future directions. "Argonne National Laboratory’s Leadership Computing Facility will be home to Aurora, our first exascale supercomputer. Aurora promises to take scientific computing to a whole new level, and scientists and engineers from many different fields will take advantage of Aurora’s unprecedented computational capabilities to push the boundaries of human knowledge. In addition, Aurora’s support for advanced machine-learning and big-data computations will enable scientific workflows incorporating these techniques along with traditional HPC algorithms. Programming the state-of-the-art hardware in Aurora will be accomplished using state-of-the-art programming models. Some of these models, such as OpenMP, are long-established in the HPC ecosystem. Other models, such as Intel’s oneAPI, based on SYCL, are relatively-new models constructed with the benefit of significant experience. Many applications will not use these models directly, but rather, will use C++ abstraction libraries such as Kokkos or RAJA. Python will also be a common entry point to high-performance capabilities. As we look toward the future, features in the C++ standard itself will become increasingly relevant for accessing the extreme parallelism of exascale platforms. This presentation will summarize the experiences of our team as we prepare for Aurora, exploring how to port applications to Aurora’s architecture and programming models, and distilling the challenges and best practices we’ve developed to date. oneAPI/SYCL and OpenMP are both critical models in these efforts, and while the ecosystem for Aurora has yet to mature, we’ve already had a great deal of success. Importantly, we are not passive recipients of programming models developed by others. Our team works not only with vendor-provided compilers and tools, but also develops improved open-source LLVM-based technologies that feed both open-source and vendor-provided capabilities. In addition, we actively participate in the standardization of OpenMP, SYCL, and C++. To conclude, I’ll share our thoughts on how these models can best develop in the future to support exascale-class systems." Watch the video: https://wp.me/p3RLHQ-lPT Learn more: https://www.iwocl.org/iwocl-2020/conference-program/ and https://www.anl.gov/topic/aurora Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Preparing to program Aurora at Exascale - Early experiences and future direct...

Preparing to program Aurora at Exascale - Early experiences and future direct...

Preparing to program Aurora at Exascale - Early experiences and future direct...

inside-BigData.com

In this deck, Greg Wahl from Advantech presents: Transforming Private 5G Networks. Advantech Networks & Communications Group is driving innovation in next-generation network solutions with their High Performance Servers. We provide business critical hardware to the world's leading telecom and networking equipment manufacturers with both standard and customized products. Our High Performance Servers are highly configurable platforms designed to balance the best in x86 server-class processing performance with maximum I/O and offload density. The systems are cost effective, highly available and optimized to meet next generation networking and media processing needs. “Advantech’s Networks and Communication Group has been both an innovator and trusted enabling partner in the telecommunications and network security markets for over a decade, designing and manufacturing products for OEMs that accelerate their network platform evolution and time to market.” Said Advantech Vice President of Networks & Communications Group, Ween Niu. “In the new IP Infrastructure era, we will be expanding our expertise in Software Defined Networking (SDN) and Network Function Virtualization (NFV), two of the essential conduits to 5G infrastructure agility making networks easier to install, secure, automate and manage in a cloud-based infrastructure.” In addition to innovation in air interface technologies and architecture extensions, 5G will also need a new generation of network computing platforms to run the emerging software defined infrastructure, one that provides greater topology flexibility, essential to deliver on the promises of high availability, high coverage, low latency and high bandwidth connections. This will open up new parallel industry opportunities through dedicated 5G network slices reserved for specific industries dedicated to video traffic, augmented reality, IoT, connected cars etc. 5G unlocks many new doors and one of the keys to its enablement lies in the elasticity and flexibility of the underlying infrastructure. Advantech’s corporate vision is to enable an intelligent planet. The company is a global leader in the fields of IoT intelligent systems and embedded platforms. To embrace the trends of IoT, big data, and artificial intelligence, Advantech promotes IoT hardware and software solutions with the Edge Intelligence WISE-PaaS core to assist business partners and clients in connecting their industrial chains. Advantech is also working with business partners to co-create business ecosystems that accelerate the goal of industrial intelligence." Watch the video: https://wp.me/p3RLHQ-lPQ * Company website: https://www.advantech.com/ * Solution page: https://www2.advantech.com/nc/newsletter/NCG/SKY/benefits.html Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Transforming Private 5G Networks

Transforming Private 5G Networks

Transforming Private 5G Networks

inside-BigData.com

In this deck from the Stanford HPC Conference, Katie Lewis from Lawrence Livermore National Laboratory presents: The Incorporation of Machine Learning into Scientific Simulations at Lawrence Livermore National Laboratory. "Scientific simulations have driven computing at Lawrence Livermore National Laboratory (LLNL) for decades. During that time, we have seen significant changes in hardware, tools, and algorithms. Today, data science, including machine learning, is one of the fastest growing areas of computing, and LLNL is investing in hardware, applications, and algorithms in this space. While the use of simulations to focus and understand experiments is well accepted in our community, machine learning brings new challenges that need to be addressed. I will explore applications for machine learning in scientific simulations that are showing promising results and further investigation that is needed to better understand its usefulness." Watch the video: https://youtu.be/NVwmvCWpZ6Y Learn more: https://computing.llnl.gov/research-area/machine-learning and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

The Incorporation of Machine Learning into Scientific Simulations at Lawrence...

The Incorporation of Machine Learning into Scientific Simulations at Lawrence...

The Incorporation of Machine Learning into Scientific Simulations at Lawrence...

inside-BigData.com

In this deck from the Stanford HPC Conference, DK Panda from Ohio State University presents: How to Achieve High-Performance, Scalable and Distributed DNN Training on Modern HPC Systems? "This talk will start with an overview of challenges being faced by the AI community to achieve high-performance, scalable and distributed DNN training on Modern HPC systems with both scale-up and scale-out strategies. After that, the talk will focus on a range of solutions being carried out in my group to address these challenges. The solutions will include: 1) MPI-driven Deep Learning, 2) Co-designing Deep Learning Stacks with High-Performance MPI, 3) Out-of- core DNN training, and 4) Hybrid (Data and Model) parallelism. Case studies to accelerate DNN training with popular frameworks like TensorFlow, PyTorch, MXNet and Caffe on modern HPC systems will be presented." Watch the video: https://youtu.be/LeUNoKZVuwQ Learn more: http://web.cse.ohio-state.edu/~panda.2/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...

How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...

How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...

inside-BigData.com

In this deck from the Stanford HPC Conference, Nick Nystrom and Paola Buitrago provide an update from the Pittsburgh Supercomputing Center. Nick Nystrom is Chief Scientist at the Pittsburgh Supercomputing Center (PSC). Nick is architect and PI for Bridges, PSC's flagship system that successfully pioneered the convergence of HPC, AI, and Big Data. He is also PI for the NIH Human Biomolecular Atlas Program’s HIVE Infrastructure Component and co-PI for projects that bring emerging AI technologies to research (Open Compass), apply machine learning to biomedical data for breast and lung cancer (Big Data for Better Health), and identify causal relationships in biomedical big data (the Center for Causal Discovery, an NIH Big Data to Knowledge Center of Excellence). His current research interests include hardware and software architecture, applications of machine learning to multimodal data (particularly for the life sciences) and to enhance simulation, and graph analytics. Watch the video: https://youtu.be/LWEU1L1o7yY Learn more: https://www.psc.edu/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...

Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...

Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...

inside-BigData.com

In this deck from the Stanford HPC Conference, Ryan Quick from Providentia Worldwide describes how DNNs can be used to improve EDA simulation runs. "Systems Intelligence relies on a variety of methods for providing insight into the core mechanisms for driving automated behavioral changes in self-healing command and control platforms. This talk reports on initial efforts with leveraging Semiconductor Electronic Design Automation (EDA) telemetry data from cross-domain sources including power, network, storage, nodes, and applications in neural networks as a driving method for insight into SI automation systems." Watch the video: https://youtu.be/2WbR8tq-XbM Learn more: http://www.providentiaworldwide.com/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

HPC Impact: EDA Telemetry Neural Networks

HPC Impact: EDA Telemetry Neural Networks

HPC Impact: EDA Telemetry Neural Networks

inside-BigData.com

In this deck from the Stanford HPC Conference, Nicole Xu from Stanford University describes how she transformed a common jellyfish into a bionic creature that is part animal and part machine. "Animal locomotion and bioinspiration have the potential to expand the performance capabilities of robots, but current implementations are limited. Mechanical soft robots leverage engineered materials and are highly controllable, but these biomimetic robots consume more power than corresponding animal counterparts. Biological soft robots from a bottom-up approach offer advantages such as speed and controllability but are limited to survival in cell media. Instead, biohybrid robots that comprise live animals and self- contained microelectronic systems leverage the animals’ own metabolism to reduce power constraints and body as an natural scaffold with damage tolerance. We demonstrate that by integrating onboard microelectronics into live jellyfish, we can enhance propulsion up to threefold, using only 10 mW of external power input to the microelectronics and at only a twofold increase in cost of transport to the animal. This robotic system uses 10 to 1000 times less external power per mass than existing swimming robots in literature and can be used in future applications for ocean monitoring to track environmental changes." Watch the video: https://youtu.be/HrmJFyvInj8 Learn more: https://sanfrancisco.cbslocal.com/2020/02/05/stanford-research-project-common-jellyfish-bionic-sea-creatures/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring

Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring

Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring

inside-BigData.com

In this deck from the Stanford HPC Conference, Peter Dueben from the European Centre for Medium-Range Weather Forecasts (ECMWF) presents: Machine Learning for Weather Forecasts. "I will present recent studies that use deep learning to learn the equations of motion of the atmosphere, to emulate model components of weather forecast models and to enhance usability of weather forecasts. I will than talk about the main challenges for the application of deep learning in cutting-edge weather forecasts and suggest approaches to improve usability in the future." Peter is contributing to the development and optimization of weather and climate models for modern supercomputers. He is focusing on a better understanding of model error and model uncertainty, on the use of reduced numerical precision that is optimised for a given level of model error, on global cloud- resolving simulations with ECMWF's forecast model, and the use of machine learning, and in particular deep learning, to improve the workflow and predictions. Peter has graduated in Physics and wrote his PhD thesis at the Max Planck Institute for Meteorology in Germany. He worked as Postdoc with Tim Palmer at the University of Oxford and has taken up a position as University Research Fellow of the Royal Society at the European Centre for Medium-Range Weather Forecasts (ECMWF) in 2017. Watch the video: https://youtu.be/ks3fkRj8Iqc Learn more: https://www.ecmwf.int/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Machine Learning for Weather Forecasts

Machine Learning for Weather Forecasts

Machine Learning for Weather Forecasts

inside-BigData.com

In this deck, Gilad Shainer from the HPC AI Advisory Council describes how this organization fosters innovation in the high performance computing community. "The HPC-AI Advisory Council’s mission is to bridge the gap between high-performance computing (HPC) and Artificial Intelligence (AI) use and its potential, bring the beneficial capabilities of HPC and AI to new users for better research, education, innovation and product manufacturing, bring users the expertise needed to operate HPC and AI systems, provide application designers with the tools needed to enable parallel computing, and to strengthen the qualification and integration of HPC and AI system products." Watch the video: https://wp.me/p3RLHQ-lNz Learn more: http://hpcadvisorycouncil.com Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

HPC AI Advisory Council Update

HPC AI Advisory Council Update

HPC AI Advisory Council Update

inside-BigData.com

Today RIKEN in Japan announced that the Fugaku supercomputer will be made available for research projects aimed to combat COVID-19. "Fugaku is currently being installed and is scheduled to be available to the public in 2021. However, faced with the devastating disaster unfolding before our eyes, RIKEN and MEXT decided to make a portion of the computational resources of Fugaku available for COVID-19-related projects ahead of schedule while continuing the installation process. Fugaku is being developed not only for the progress in science, but also to help build the society dubbed as the “Society 5.0” by the Japanese government, where all people will live safe and comfortable lives. The current initiative to fight against the novel coronavirus is driven by the philosophy behind the development of Fugaku." Initial Projects Exploring new drug candidates for COVID-19 by "Fugaku" Yasushi Okuno, RIKEN / Kyoto University Prediction of conformational dynamics of proteins on the surface of SARS-Cov-2 using Fugaku Yuji Sugita, RIKEN Simulation analysis of pandemic phenomena Nobuyasu Ito, RIKEN Fragment molecular orbital calculations for COVID-19 proteins Yuji Mochizuki, Rikkyo University

Fugaku Supercomputer joins fight against COVID-19

Fugaku Supercomputer joins fight against COVID-19

Fugaku Supercomputer joins fight against COVID-19

inside-BigData.com

In this deck from the Performance Optimisation and Productivity group, Lubomir Riha from IT4Innovations presents: Energy Efficient Computing using Dynamic Tuning. "We now live in a world of power-constrained architectures and systems and power consumption represents a significant cost factor in the overall HPC system economy. For these reasons, in recent years researchers, supercomputing centers and major vendors have developed new tools and methodologies to measure and optimize the energy consumption of large-scale high performance system installations. Due to the link between energy consumption, power consumption and execution time of an application executed by the final user, it is important for these tools and the methodology used to consider all these aspects, empowering the final user and the system administrator with the capability of finding the best configuration given different high level objectives. This webinar focused on tools designed to improve the energy-efficiency of HPC applications using a methodology of dynamic tuning of HPC applications, developed under the H2020 READEX project. The READEX methodology has been designed for exploiting the dynamic behaviour of software. At design time, different runtime situations (RTS) are detected and optimized system configurations are determined. RTSs with the same configuration are grouped into scenarios, forming the tuning model. At runtime, the tuning model is used to switch system configurations dynamically. The MERIC tool, that implements the READEX methodology, is presented. It supports manual or binary instrumentation of the analysed applications to simplify the analysis. This instrumentation is used to identify and annotate the significant regions in the HPC application. Automatic binary instrumentation annotates regions with significant runtime. Manual instrumentation, which can be combined with automatic, allows code developer to annotate regions of particular interest." Watch the video: https://wp.me/p3RLHQ-lJP Learn more: https://pop-coe.eu/blog/14th-pop-webinar-energy-efficient-computing-using-dynamic-tuning and https://code.it4i.cz/vys0053/meric Sign up for our insideHPC Newsletter: http://insidehpc.com/newslett

Energy Efficient Computing using Dynamic Tuning

Energy Efficient Computing using Dynamic Tuning

Energy Efficient Computing using Dynamic Tuning

inside-BigData.com

In this deck from GTC Digital, William Beaudin from DDN presents: HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD. Enabling high performance computing through the use of GPUs requires an incredible amount of IO to sustain application performance. We'll cover architectures that enable extremely scalable applications through the use of NVIDIA’s SuperPOD and DDN’s A3I systems. The NVIDIA DGX SuperPOD is a first-of-its-kind artificial intelligence (AI) supercomputing infrastructure. DDN A³I with the EXA5 parallel file system is a turnkey, AI data storage infrastructure for rapid deployment, featuring faster performance, effortless scale, and simplified operations through deeper integration. The combined solution delivers groundbreaking performance, deploys in weeks as a fully integrated system, and is designed to solve the world's most challenging AI problems. Watch the video: https://wp.me/p3RLHQ-lIV Learn more: https://www.ddn.com/download/nvidia-superpod-ddn-a3i-ai400-appliance-with-the-exa5-filesystem/ and https://www.nvidia.com/en-us/gtc/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD

HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD

HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD

inside-BigData.com

In this deck, Paul Isaacs from Linaro presents: State of ARM-based HPC. This talk provides an overview of applications and infrastructure services successfully ported to Aarch64 and benefiting from scale. "With its debut on the TOP500, the 125,000-core Astra supercomputer at New Mexico’s Sandia Labs uses Cavium ThunderX2 chips to mark Arm’s entry into the petascale world. In Japan, the Fujitsu A64FX Arm-based CPU in the pending Fugaku supercomputer has been optimized to achieve high-level, real-world application performance, anticipating up to one hundred times the application execution performance of the K computer. K was the first computer to top 10 petaflops in 2011." Watch the video: https://wp.me/p3RLHQ-lIT Learn more: https://www.linaro.org/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

State of ARM-based HPC

State of ARM-based HPC

State of ARM-based HPC

inside-BigData.com

Today Xilinx announced Versal Premium, the third series in the Versal ACAP portfolio. The Versal Premium series features highly integrated, networked and power-optimized cores and the industry’s highest bandwidth and compute density on an adaptable platform. Versal Premium is designed for the highest bandwidth networks operating in thermally and spatially constrained environments, as well as for cloud providers who need scalable, adaptable application acceleration. Versal is the industry’s first adaptive compute acceleration platform (ACAP), a revolutionary new category of heterogeneous compute devices with capabilities that far exceed those of conventional silicon architectures. Developed on TSMC’s 7-nanometer process technology, Versal Premium combines software programmability with dynamically configurable hardware acceleration and pre-engineered connectivity and security features to enable a faster time-to- market. The Versal Premium series delivers up to 3X higher throughput compared to current generation FPGAs, with built-in Ethernet, Interlaken, and cryptographic engines that enable fast and secure networks. The series doubles the compute density of currently deployed mainstream FPGAs and provides the adaptability to keep pace with increasingly diverse and evolving cloud and networking workloads. Learn more: https://insidehpc.com/2020/03/xilinx-announces-versal-premium-acap-for-network-and-cloud-acceleration/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Versal Premium ACAP for Network and Cloud Acceleration

Versal Premium ACAP for Network and Cloud Acceleration

Versal Premium ACAP for Network and Cloud Acceleration

inside-BigData.com

In this video from the Rice Oil & Gas Conference, Chin Fang from Zettar presents: Moving Massive Amounts of Data across Any Distance Efficiently. The objective of this talk is to present two on-going projects aiming at improving and ensuring highly efficient bulk transferring or streaming of massive amounts of data over digital connections across any distance. It examines the current state of the art, a few very common misconceptions, the differences among the three major type of data movement solutions, a current initiative attempting to improve the data movement efficiency from the ground up, and another multi-stage project that shows how to conduct long distance large scale data movement at speed and scale internationally. Both projects have real world motivations, e.g. the ambitious data transfer requirements of Linac Coherent Light Source II (LCLS-II) [1], a premier preparation project of the U.S. DOE Exascale Computing Initiative (ECI) [2]. Their immediate goals are described and explained, together with the solution used for each. Findings and early results are reported. Possible future works are outlined. Watch the video: https://wp.me/p3RLHQ-lBX Learn more: https://www.zettar.com/ and https://rice2020oghpc.rice.edu/program-2/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Zettar: Moving Massive Amounts of Data across Any Distance Efficiently

Zettar: Moving Massive Amounts of Data across Any Distance Efficiently

Zettar: Moving Massive Amounts of Data across Any Distance Efficiently

inside-BigData.com

In this deck from the Rice Oil & Gas Conference, Bradley McCredie from AMD presents: Scaling TCO in a Post Moore's Law Era. "While foundries bravely drive forward to overcome the technical and economic challenges posed by scaling to 5nm and beyond, Moore’s law alone can provide only a fraction of the performance / watt and performance / dollar gains needed to satisfy the demands of today’s high performance computing and artificial intelligence applications. To close the gap, multiple strategies are required. First, new levels of innovation and design efficiency will supplement technology gains to continue to deliver meaningful improvements in SoC performance. Second, heterogenous compute architectures will create x-factor increases of performance efficiency for the most critical applications. Finally, open software frameworks, APIs, and toolsets will enable broad ecosystems of application level innovation." Watch the video: Learn more: http://amd.com and https://rice2020oghpc.rice.edu/program-2/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Scaling TCO in a Post Moore's Era

Scaling TCO in a Post Moore's Era

Scaling TCO in a Post Moore's Era

inside-BigData.com

In this deck from the ECSS Symposium, Abe Stern from NVIDIA presents: CUDA-Python and RAPIDS for blazing fast scientific computing. "We will introduce Numba and RAPIDS for GPU programming in Python. Numba allows us to write just-in-time compiled CUDA code in Python, giving us easy access to the power of GPUs from a powerful high-level language. RAPIDS is a suite of tools with a Python interface for machine learning and dataframe operations. Together, Numba and RAPIDS represent a potent set of tools for rapid prototyping, development, and analysis for scientific computing. We will cover the basics of each library and go over simple examples to get users started. Finally, we will briefly highlight several other relevant libraries for GPU programming." Watch the video: https://wp.me/p3RLHQ-lvu Learn more: https://developer.nvidia.com/rapids and https://www.xsede.org/for-users/ecss/ecss-symposium Sign up for our insideHPC Newsletter: http://insidehp.com/newsletter

CUDA-Python and RAPIDS for blazing fast scientific computing

CUDA-Python and RAPIDS for blazing fast scientific computing

CUDA-Python and RAPIDS for blazing fast scientific computing

inside-BigData.com

In this deck from FOSDEM 2020, Colin Sauze from Aberystwyth University describes the development of a RaspberryPi cluster for teaching an introduction to HPC. "The motivation for this was to overcome four key problems faced by new HPC users: * The availability of a real HPC system and the effect running training courses can have on the real system, conversely the availability of spare resources on the real system can cause problems for the training course. * A fear of using a large and expensive HPC system for the first time and worries that doing something wrong might damage the system. * That HPC systems are very abstract systems sitting in data centres that users never see, it is difficult for them to understand exactly what it is they are using. * That new users fail to understand resource limitations, in part because of the vast resources in modern HPC systems a lot of mistakes can be made before running out of resources. A more resource constrained system makes it easier to understand this. The talk will also discuss some of the technical challenges in deploying an HPC environment to a Raspberry Pi and attempts to keep that environment as close to a "real" HPC as possible. The issue to trying to automate the installation process will also be covered." Learn more: https://github.com/colinsauze/pi_cluster and https://fosdem.org/2020/schedule/events/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Introducing HPC with a Raspberry Pi Cluster

Introducing HPC with a Raspberry Pi Cluster

Introducing HPC with a Raspberry Pi Cluster

inside-BigData.com

In this deck from ATPESC 2019, Ken Raffenetti from Argonne presents an overview of HPC interconnects. "The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future." Watch the video: https://wp.me/p3RLHQ-luc Learn more: https://extremecomputingtraining.anl.gov/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Overview of HPC Interconnects

Overview of HPC Interconnects

Overview of HPC Interconnects

inside-BigData.com

Mais de inside-BigData.com (20)

Major Market Shifts in IT

Major Market Shifts in IT

Major Market Shifts in IT

Preparing to program Aurora at Exascale - Early experiences and future direct...

Preparing to program Aurora at Exascale - Early experiences and future direct...

Preparing to program Aurora at Exascale - Early experiences and future direct...

Transforming Private 5G Networks

Transforming Private 5G Networks

Transforming Private 5G Networks

The Incorporation of Machine Learning into Scientific Simulations at Lawrence...

The Incorporation of Machine Learning into Scientific Simulations at Lawrence...

The Incorporation of Machine Learning into Scientific Simulations at Lawrence...

How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...

How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...

How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...

Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...

Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...

Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...

HPC Impact: EDA Telemetry Neural Networks

HPC Impact: EDA Telemetry Neural Networks

HPC Impact: EDA Telemetry Neural Networks

Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring

Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring

Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring

Machine Learning for Weather Forecasts

Machine Learning for Weather Forecasts

Machine Learning for Weather Forecasts

HPC AI Advisory Council Update

HPC AI Advisory Council Update

HPC AI Advisory Council Update

Fugaku Supercomputer joins fight against COVID-19

Fugaku Supercomputer joins fight against COVID-19

Fugaku Supercomputer joins fight against COVID-19

Energy Efficient Computing using Dynamic Tuning

Energy Efficient Computing using Dynamic Tuning

Energy Efficient Computing using Dynamic Tuning

HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD

HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD

HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD

State of ARM-based HPC

State of ARM-based HPC

State of ARM-based HPC

Versal Premium ACAP for Network and Cloud Acceleration

Versal Premium ACAP for Network and Cloud Acceleration

Versal Premium ACAP for Network and Cloud Acceleration

Zettar: Moving Massive Amounts of Data across Any Distance Efficiently

Zettar: Moving Massive Amounts of Data across Any Distance Efficiently

Zettar: Moving Massive Amounts of Data across Any Distance Efficiently

Scaling TCO in a Post Moore's Era

Scaling TCO in a Post Moore's Era

Scaling TCO in a Post Moore's Era

CUDA-Python and RAPIDS for blazing fast scientific computing

CUDA-Python and RAPIDS for blazing fast scientific computing

CUDA-Python and RAPIDS for blazing fast scientific computing

Introducing HPC with a Raspberry Pi Cluster

Introducing HPC with a Raspberry Pi Cluster

Introducing HPC with a Raspberry Pi Cluster

Overview of HPC Interconnects

Overview of HPC Interconnects

Overview of HPC Interconnects

Último

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

💉💊+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHABI}}+971581248768 +971581248768 Mtp-Kit (500MG) Prices » Dubai [(+971581248768**)] Abortion Pills For Sale In Dubai, UAE, Mifepristone and Misoprostol Tablets Available In Dubai, UAE CONTACT DR.Maya Whatsapp +971581248768 We Have Abortion Pills / Cytotec Tablets /Mifegest Kit Available in Dubai, Sharjah, Abudhabi, Ajman, Alain, Fujairah, Ras Al Khaimah, Umm Al Quwain, UAE, Buy cytotec in Dubai +971581248768''''Abortion Pills near me DUBAI | ABU DHABI|UAE. Price of Misoprostol, Cytotec” +971581248768' Dr.DEEM ''BUY ABORTION PILLS MIFEGEST KIT, MISOPROTONE, CYTOTEC PILLS IN DUBAI, ABU DHABI,UAE'' Contact me now via What's App…… abortion Pills Cytotec also available Oman Qatar Doha Saudi Arabia Bahrain Above all, Cytotec Abortion Pills are Available In Dubai / UAE, you will be very happy to do abortion in Dubai we are providing cytotec 200mg abortion pill in Dubai, UAE. Medication abortion offers an alternative to Surgical Abortion for women in the early weeks of pregnancy. We only offer abortion pills from 1 week-6 Months. We then advise you to use surgery if its beyond 6 months. Our Abu Dhabi, Ajman, Al Ain, Dubai, Fujairah, Ras Al Khaimah (RAK), Sharjah, Umm Al Quwain (UAQ) United Arab Emirates Abortion Clinic provides the safest and most advanced techniques for providing non-surgical, medical and surgical abortion methods for early through late second trimester, including the Abortion By Pill Procedure (RU 486, Mifeprex, Mifepristone, early options French Abortion Pill), Tamoxifen, Methotrexate and Cytotec (Misoprostol). The Abu Dhabi, United Arab Emirates Abortion Clinic performs Same Day Abortion Procedure using medications that are taken on the first day of the office visit and will cause the abortion to occur generally within 4 to 6 hours (as early as 30 minutes) for patients who are 3 to 12 weeks pregnant. When Mifepristone and Misoprostol are used, 50% of patients complete in 4 to 6 hours; 75% to 80% in 12 hours; and 90% in 24 hours. We use a regimen that allows for completion without the need for surgery 99% of the time. All advanced second trimester and late term pregnancies at our Tampa clinic (17 to 24 weeks or greater) can be completed within 24 hours or less 99% of the time without the need surgery. The procedure is completed with minimal to no complications. Our Women's Health Center located in Abu Dhabi, United Arab Emirates, uses the latest medications for medical abortions (RU-486, Mifeprex, Mifegyne, Mifepristone, early options French abortion pill), Methotrexate and Cytotec (Misoprostol). The safety standards of our Abu Dhabi, United Arab Emirates Abortion Doctors remain unparalleled. They consistently maintain the lowest complication rates throughout the nation. Our Physicians and staff are always available to answer questions and care for women in one of the most difficult times in their lives. The decision to have an abortion at the Abortion Cl

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@

Manulife - Insurer Transformation Award 2024

Manulife - Insurer Transformation Award 2024

Manulife - Insurer Transformation Award 2024

The Digital Insurer

Architecting Cloud Native Applications

Architecting Cloud Native Applications

Architecting Cloud Native Applications

The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The value of a flexible API Management solution for O...

Apidays New York 2024 - The value of a flexible API Management solution for O...

Apidays New York 2024 - The value of a flexible API Management solution for O...

Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...

Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...

Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

Nanddeep Nachan

Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

In the thrilling conclusion to 2023, ransomware groups had a banner year, really outdoing themselves in the "make everyone's life miserable" department. LockBit 3.0 took gold in the hacking olympics, followed by the plucky upstarts Clop and ALPHV/BlackCat. Apparently, 48% of organizations were feeling left out and decided to get in on the cyber attack action. Business services won the "most likely to get digitally mugged" award, with education and retail nipping at their heels. Hackers expanded their repertoire beyond boring old encryption to the much more exciting world of extortion. The US, UK and Canada took top honors in the "countries most likely to pay up" category. Bitcoins were the currency of choice for discerning hackers, because who doesn't love untraceable money?

Ransomware_Q4_2023. The report. [EN].pdf

Ransomware_Q4_2023. The report. [EN].pdf

Ransomware_Q4_2023. The report. [EN].pdf

Overkill Security

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Khushali Kathiriya

Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia

A Year of the Servo Reboot: Where Are We Now?

A Year of the Servo Reboot: Where Are We Now?

A Year of the Servo Reboot: Where Are We Now?

2024: Domino Containers - The Next Step. News from the Domino Container commu...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

FWD Group - Insurer Innovation Award 2024

FWD Group - Insurer Innovation Award 2024

FWD Group - Insurer Innovation Award 2024

The Digital Insurer

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

Último (20)

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

Manulife - Insurer Transformation Award 2024

Manulife - Insurer Transformation Award 2024

Manulife - Insurer Transformation Award 2024

Architecting Cloud Native Applications

Architecting Cloud Native Applications

Architecting Cloud Native Applications

Apidays New York 2024 - The value of a flexible API Management solution for O...

Apidays New York 2024 - The value of a flexible API Management solution for O...

Apidays New York 2024 - The value of a flexible API Management solution for O...

Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...

Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...

Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Data Cloud, More than a CDP by Matt Robison

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Ransomware_Q4_2023. The report. [EN].pdf

Ransomware_Q4_2023. The report. [EN].pdf

Ransomware_Q4_2023. The report. [EN].pdf

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

A Year of the Servo Reboot: Where Are We Now?

A Year of the Servo Reboot: Where Are We Now?

A Year of the Servo Reboot: Where Are We Now?

2024: Domino Containers - The Next Step. News from the Domino Container commu...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

FWD Group - Insurer Innovation Award 2024

FWD Group - Insurer Innovation Award 2024

FWD Group - Insurer Innovation Award 2024

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

GenAI Risks & Security Meetup 01052024.pdf

BlackPearl introduction

1. Embargoed*un-l*Thursday*

2. Client Software FC SAS Object Interface 10 GigE Standard Objects to Deep Storage Easiest*Way*to*Move*Bulk*Data*

3. 1.4 PB uncompressed Archive(Grade(NAS(Disk( Spectra*BlackPearl*plus* T950*with*TS1140*drives* 6.4 PB uncompressed Spectra*BlackPearl*plus* T950*with*LTO*drives* 2.4 PB uncompressed Spectra*BlackPearl*plus* T380*with*LTO*drives* 1.9 PB uncompressed Absolute*Lowest*Cost*Way*to*Store*Data*

4. Most*Scalable*LongBterm*Storage*Available* •  Fastest*transfer*of*large*storage*objects* •  Easily*expands*to*Exabytes*and*beyond** •  Designed*to*keep*data*virtually*forever*

5. Spectra*BlackPearl™*Deep*Storage*Appliance* David*Trachy* Senior*Director*Emerging*Markets*

6. What*does*the*BlackPearl*appliance* do?**Data( Crea@on( Spectra( BlackPearl( FC( SAS( Tape(Library( DS3(Client( SoGware( Objects( Created(

7. Black*Pearl*Hardware* • Spectra*Installed*/Serviced* • En-rely*Spectra*Technology* • DS3*Interface*/*10Gbit*Ethernet*** • Fibre*Channel*or*SAS*to*Tape**

8. LTFS*Support*

9. Media*Migra-on*

10. Media*Migra-on*to*Future*Storage* Mediums*

11. Spectra*Library*Integra-on* • Media*Lifecycle*Management* • Data*Scrubbing*(DIV)* • Single*Point*of*Management* • Improved*Tape*Drive*Diagnos-cs*

12. The(Past( •  SCSI/FC*Block ** •  Files* •  Proprietary*Data*Formats* •  High*cost*middleware* •  Tape*for*specialists* •  Tape*for*backup* The(Future( •  Simple*Storage*Service*(S3)* •  Buckets* •  Open*Data*Formats*(LTFS)* •  Reduced*middleware*need* •  Tape*for*the*masses* •  Tape*for*object,*ﬁle,*Web,* archive*

13. Client Software FC SAS Object Interface 10 GigE Standard Objects to Deep Storage Easiest*Way*to*Move*Bulk*Data* Inside(BlackPearl:( !  SSD( !  Object(Catalog( !  Tape(Library( Management( !  LTFS( !  Data(Integrity( Veriﬁca@on( !  Data(Security( !  Integra@on( with(BlueScale( (