From ARITH-17: Intro slides for the panel on language interations with arithmetic

•

0 gostou•201 visualizações

These are quick intro slides for <a href="http://arith.polito.it/program.html">ARITH-17's panel on "Arithmetic Interactions"</a>.

Tecnologia Educação

Modern Language Tools
and 754R

E. Jason Riedy
UC Berkeley

Current State:

HW Designers SW Designers
●
Can implement ●
Few implementation
anything! options.
No feedback on No access to
Languages
● ●

trade-offs. features.

●
Not bridging the gap.

●
What can 754R do?

●
Current 754 support is ad-hoc.
●
C99, Fortran 2003 provide different
descriptions for same model.
●
Many languages provide no semantics.
●
Compilers provide less...

●
754R: Provide a language for languages.
●
Not LIA: Describe 754 arithmetic, not all
possible arithmetics.
●
Use modern language tools: Type theory
and inferencing.

Typing from 20k Feet

●
Precisions ≈ data types

●
Operations ≈ function types

● Expression evaluation rules ⊂typing rules

Impact on 754R
●
Provides a sound base for definitions.
●
Could define typing hierarchy and “literal”
type for wide expression evaluation.
– Assists interval arithmetic!
●
Models modes and flags:
–

●
Possible problems:
– Comparison operators and wide eval?
– Compiler support?

Mais conteúdo relacionado

Mais de Jason Riedy

GraphBLAS and Emus

GraphBLAS and Emus

GraphBLAS and Emus

All computing must be parallel to take advantage of modern systems like multicore processors, GPUs, and distributed systems. Results that are not bit-wise reproducible introduce doubt on many levels. Sometimes that is appropriate. Reproducibility limitations occur because underlying libraries do not specify their reproducibility requirements. New advances in interfaces, algorithms, and architectures allow selecting among those requirements in the future. This talk covers many of the upcoming options and their trade-offs.

Reproducible Linear Algebra from Application to Architecture

Reproducible Linear Algebra from Application to Architecture

Reproducible Linear Algebra from Application to Architecture

The Rogues Gallery is a new experimental testbed that is focused on tackling "rogue'' architectures for the Post-Moore era of computing. While some of these devices have roots in the embedded and high-performance computing spaces, managing current and emerging technologies provides a challenge for system administration that are not always foreseen in traditional data center environments. We present an overview of the motivations and design of the initial Rogues Gallery testbed and cover some of the unique challenges that we have seen and foresee with upcoming hardware prototypes for future post-Moore research. Specifically, we cover the networking, identity management, scheduling of resources, and tools and sensor access aspects of the Rogues Gallery and techniques we have developed to manage these new platforms. We argue that current tools like the Slurm resource manager can support new rogues without major infrastructure changes.

PEARC19: Wrangling Rogues: A Case Study on Managing Experimental Post-Moore A...

PEARC19: Wrangling Rogues: A Case Study on Managing Experimental Post-Moore A...

PEARC19: Wrangling Rogues: A Case Study on Managing Experimental Post-Moore A...

All computing must be parallel to take advantage of modern systems like multicore processors, GPUs, and distributed systems. Results that are not bit-wise reproducible introduce doubt on many levels. Sometimes that is appropriate. Reproducibility limitations occur because underlying libraries do not specify their reproducibility requirements. New advances in interfaces, algorithms, and architectures allow selecting among those requirements in the future. This talk covers many of the upcoming options and their trade-offs.

ICIAM 2019: Reproducible Linear Algebra from Application to Architecture

ICIAM 2019: Reproducible Linear Algebra from Application to Architecture

ICIAM 2019: Reproducible Linear Algebra from Application to Architecture

Applications in many areas analyze an ever-changing environment. On billion vertices graphs, providing snapshots imposes a large performance cost. We propose the first formal model for graph analysis running concurrently with streaming data updates. We consider an algorithm valid if its output is correct for the initial graph plus some implicit subset of concurrent changes. We show theoretical properties of the model, demonstrate the model on various algorithms, and extend it to updating results incrementally.

ICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph Analysis

ICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph Analysis

ICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph Analysis

Novel Architectures for Applications in Data Science and Beyond

Novel Architectures for Applications in Data Science and Beyond

Novel Architectures for Applications in Data Science and Beyond

Characterization of Emu Chick with Microbenchmarks

Characterization of Emu Chick with Microbenchmarks

Characterization of Emu Chick with Microbenchmarks

In one classic sense a rogue is someone who goes their own way, who breaks away from the crowd. The CRNCH Rogues Gallery aims to support computer architecture rogues by being a physical and virtual space providing access to novel computing architectures. Researchers find applications, and architects discover what happens when their prototypes hit reality. Our goals are to help kick-start software ecosystems, train students in novel system evaluation and use, and provide rapid feedback to architects. By exposing students and researchers to this set of unique hardware, we foster cross-cutting discussions about hardware designs that will drive future performance improvements in computing long after the Moore’s Law era of “cheap transistors” ends. We provide a brief description of the current Rogues Gallery along with successes and research highlights over the last year.

CRNCH 2018 Summit: Rogues Gallery Update

CRNCH 2018 Summit: Rogues Gallery Update

CRNCH 2018 Summit: Rogues Gallery Update

Algorithms for extending arithmetic precision through compensated summation or arithmetics like double-double rely on operations commonly called twoSum and twoProduct. The current draft of the IEEE 754 standard specifies these operations under the names augmentedAddition and augmentedMultiplication. These operations were included after three decades of experience because of a motivating new use: bitwise reproducible arithmetic. Standardizing the operations provides a hardware acceleration target that can provide at least a 33% speed improvements in reproducible dot product, placing reproducible dot product almost within a factor of two of common dot product. This paper provides history and motivation for standardizing these operations. We also define the operations, explain the rationale for all the specific choices, and provide parameterized test cases for new boundary behaviors.

Augmented Arithmetic Operations Proposed for IEEE-754 2018

Augmented Arithmetic Operations Proposed for IEEE-754 2018

Augmented Arithmetic Operations Proposed for IEEE-754 2018

Graph Analysis: New Algorithm Models, New Architectures

Graph Analysis: New Algorithm Models, New Architectures

Graph Analysis: New Algorithm Models, New Architectures

CRNCH Rogues Gallery: A Community Core for Novel Computing Platforms

CRNCH Rogues Gallery: A Community Core for Novel Computing Platforms

CRNCH Rogues Gallery: A Community Core for Novel Computing Platforms

The Rogues Gallery is a new concept focused on developing our understanding of next-generation hardware with a focus on unorthodox and uncommon technologies. This project, initiated by Georgia Tech's Center for Research into Novel Computing Hierarchies (CRNCH), will acquire new and unique hardware (ie, the aforementioned "rogues") from vendors, research labs, and startups and make this hardware available to students, faculty, and industry collaborators within a managed data center environment. By exposing students and researchers to this set of unique hardware, we hope to foster cross-cutting discussions about hardware designs that will drive future performance improvements in computing long after the Moore's Law era of "cheap transistors" ends.

CRNCH Rogues Gallery: A Community Core for Novel Computing Platforms

CRNCH Rogues Gallery: A Community Core for Novel Computing Platforms

CRNCH Rogues Gallery: A Community Core for Novel Computing Platforms

Applications in computer network security, social media analysis,and other areas rely on analyzing a changing environment. The data is rich in relationships and lends itself to graph analysis. Traditional static graph analysis cannot keep pace with network security applications analyzing nearly one million events per second and social networks like Facebook collecting 500 thousand comments per second. Streaming frameworks like STINGER support ingesting up three million of edge changes per second but there are few streaming analysis kernels that keep up with these rates. Here we present a new algorithm model for applying complex metrics to a changing graph. In this model, many more algorithms can be applied without having to stop the world.

A New Algorithm Model for Massive-Scale Streaming Graph Analysis

A New Algorithm Model for Massive-Scale Streaming Graph Analysis

A New Algorithm Model for Massive-Scale Streaming Graph Analysis

Graph-structured data in social networks, finance, network security, and others not only are massive but also under continual change. These changes often are scattered across the graph. Stopping the world to run a single, static query is infeasible. Repeating complex global analyses on massive snapshots to capture only what has changed is inefficient. We discuss requirements for single-shot queries on changing graphs as well as recent high-performance algorithms that update rather than recompute results. These algorithms are incorporated into our software framework for streaming graph analysis, STINGER.

High-Performance Analysis of Streaming Graphs

High-Performance Analysis of Streaming Graphs

High-Performance Analysis of Streaming Graphs

Graph-structured data in social networks, finance, network security, and others not only are massive but also under continual change. These changes often are scattered across the graph. Stopping the world to run a single, static query is infeasible. Repeating complex global analyses on massive snapshots to capture only what has changed is inefficient. We discuss requirements for single-shot queries on changing graphs as well as recent high-performance algorithms that update rather than recompute results. These algorithms are incorporated into our software framework for streaming graph analysis, STING (Spatio-Temporal Interaction Networks and Graphs).

High-Performance Analysis of Streaming Graphs

High-Performance Analysis of Streaming Graphs

High-Performance Analysis of Streaming Graphs

Updating PageRank for Streaming Graphs

Updating PageRank for Streaming Graphs

Updating PageRank for Streaming Graphs

Scalable and Efficient Algorithms for Analysis of Massive, Streaming Graphs

Scalable and Efficient Algorithms for Analysis of Massive, Streaming Graphs

Scalable and Efficient Algorithms for Analysis of Massive, Streaming Graphs

High-performance graph analysis is unlocking knowledge in computer security, bioinformatics, social networks, and many other data integration areas. Graphs provide a convenient abstraction for many data problems beyond linear algebra. Some problems map directly to linear algebra. Others, like community detection, look eerily similar to sparse linear algebra techniques. And then there are algorithms that strongly resist attempts at making them look like linear algebra. This talk will cover recent results with an emphasis on streaming graph problems where the graph changes and results need updated with minimal latency. We’ll also touch on issues of sensitivity and reliability where graph analysis needs to learn from numerical analysis and linear algebra.

Graph Analysis Beyond Linear Algebra

Graph Analysis Beyond Linear Algebra

Graph Analysis Beyond Linear Algebra

Network Challenge: Error and Sensitivity Analysis

Network Challenge: Error and Sensitivity Analysis

Network Challenge: Error and Sensitivity Analysis

High-performance graph analysis is unlocking knowledge in problems like anomaly detection in computer security, community structure in social networks, and many other data integration areas. While graphs provide a convenient abstraction, real-world problems' sparsity and lack of locality challenge current systems. This talk will cover current trends ranging from massive scales to low-power, low-latency systems and summarize opportunities and directions for graphs and computing systems.

Graph Analysis Trends and Opportunities -- CMG Performance and Capacity 2014

Graph Analysis Trends and Opportunities -- CMG Performance and Capacity 2014

Graph Analysis Trends and Opportunities -- CMG Performance and Capacity 2014

Mais de Jason Riedy (20)

GraphBLAS and Emus

GraphBLAS and Emus

GraphBLAS and Emus

Reproducible Linear Algebra from Application to Architecture

Reproducible Linear Algebra from Application to Architecture

Reproducible Linear Algebra from Application to Architecture

PEARC19: Wrangling Rogues: A Case Study on Managing Experimental Post-Moore A...

PEARC19: Wrangling Rogues: A Case Study on Managing Experimental Post-Moore A...

PEARC19: Wrangling Rogues: A Case Study on Managing Experimental Post-Moore A...

ICIAM 2019: Reproducible Linear Algebra from Application to Architecture

ICIAM 2019: Reproducible Linear Algebra from Application to Architecture

ICIAM 2019: Reproducible Linear Algebra from Application to Architecture

ICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph Analysis

ICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph Analysis

ICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph Analysis

Novel Architectures for Applications in Data Science and Beyond

Novel Architectures for Applications in Data Science and Beyond

Novel Architectures for Applications in Data Science and Beyond

Characterization of Emu Chick with Microbenchmarks

Characterization of Emu Chick with Microbenchmarks

Characterization of Emu Chick with Microbenchmarks

CRNCH 2018 Summit: Rogues Gallery Update

CRNCH 2018 Summit: Rogues Gallery Update

CRNCH 2018 Summit: Rogues Gallery Update

Augmented Arithmetic Operations Proposed for IEEE-754 2018

Augmented Arithmetic Operations Proposed for IEEE-754 2018

Augmented Arithmetic Operations Proposed for IEEE-754 2018

Graph Analysis: New Algorithm Models, New Architectures

Graph Analysis: New Algorithm Models, New Architectures

Graph Analysis: New Algorithm Models, New Architectures

CRNCH Rogues Gallery: A Community Core for Novel Computing Platforms

CRNCH Rogues Gallery: A Community Core for Novel Computing Platforms

CRNCH Rogues Gallery: A Community Core for Novel Computing Platforms

CRNCH Rogues Gallery: A Community Core for Novel Computing Platforms

CRNCH Rogues Gallery: A Community Core for Novel Computing Platforms

CRNCH Rogues Gallery: A Community Core for Novel Computing Platforms

A New Algorithm Model for Massive-Scale Streaming Graph Analysis

A New Algorithm Model for Massive-Scale Streaming Graph Analysis

A New Algorithm Model for Massive-Scale Streaming Graph Analysis

High-Performance Analysis of Streaming Graphs

High-Performance Analysis of Streaming Graphs

High-Performance Analysis of Streaming Graphs

High-Performance Analysis of Streaming Graphs

High-Performance Analysis of Streaming Graphs

High-Performance Analysis of Streaming Graphs

Updating PageRank for Streaming Graphs

Updating PageRank for Streaming Graphs

Updating PageRank for Streaming Graphs

Scalable and Efficient Algorithms for Analysis of Massive, Streaming Graphs

Scalable and Efficient Algorithms for Analysis of Massive, Streaming Graphs

Scalable and Efficient Algorithms for Analysis of Massive, Streaming Graphs

Graph Analysis Beyond Linear Algebra

Graph Analysis Beyond Linear Algebra

Graph Analysis Beyond Linear Algebra

Network Challenge: Error and Sensitivity Analysis

Network Challenge: Error and Sensitivity Analysis

Network Challenge: Error and Sensitivity Analysis

Graph Analysis Trends and Opportunities -- CMG Performance and Capacity 2014

Graph Analysis Trends and Opportunities -- CMG Performance and Capacity 2014

Graph Analysis Trends and Opportunities -- CMG Performance and Capacity 2014

Último

Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 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 Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe 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 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Manulife - Insurer Innovation Award 2024

Manulife - Insurer Innovation Award 2024

Manulife - Insurer Innovation Award 2024

The Digital Insurer

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

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

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

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

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

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Principled Technologies

Último (20)

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Manulife - Insurer Innovation Award 2024

Manulife - Insurer Innovation Award 2024

Manulife - Insurer Innovation Award 2024

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Artificial Intelligence: Facts and Myths

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Why Teams call analytics are critical to your entire business

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

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

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

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

From ARITH-17: Intro slides for the panel on language interations with arithmetic

1. Modern Language Tools and 754R E. Jason Riedy UC Berkeley

2. Current State: HW Designers SW Designers ● Can implement ● Few implementation anything! options. No feedback on No access to Languages ● ● trade-offs. features. ● Not bridging the gap. ● What can 754R do?

3. ● Current 754 support is ad-hoc. ● C99, Fortran 2003 provide different descriptions for same model. ● Many languages provide no semantics. ● Compilers provide less... ● 754R: Provide a language for languages. ● Not LIA: Describe 754 arithmetic, not all possible arithmetics. ● Use modern language tools: Type theory and inferencing.

4. Typing from 20k Feet ● Precisions ≈ data types ● Operations ≈ function types ● Expression evaluation rules ⊂typing rules

5. Impact on 754R ● Provides a sound base for definitions. ● Could define typing hierarchy and “literal” type for wide expression evaluation. – Assists interval arithmetic! ● Models modes and flags: – ● Possible problems: – Comparison operators and wide eval? – Compiler support?