OpenACC Monthly Highlights - March 2018
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Check out this month's OpenACC highlights for news about GTC sessions, tutorials, labs, and the User Group Meeting that you won't want to miss.
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OpenACC Monthly Highlights - March 2018
- 2. 2 WHAT IS OPENACC main() { <serial code> #pragma acc kernels { <parallel code> } } Add Simple Compiler Directive POWERFUL & PORTABLE Directives-based programming model for parallel computing Designed for performance and portability on CPUs and GPUs SIMPLE Open Specification Developed by OpenACC.org Consortium
- 3. 3 silica IFPEN, RMM-DIIS on P100 OPENACC GROWING MOMENTUM Wide Adoption Across Key HPC Codes ANSYS Fluent Gaussian VASP LSDalton MPAS GAMERA GTC XGC ACME FLASH COSMO Numeca OVER 100 APPS* USING OpenACC Prof. Georg Kresse Computational Materials Physics University of Vienna For VASP, OpenACC is the way forward for GPU acceleration. Performance is similar to CUDA, and OpenACC dramatically decreases GPU development and maintenance efforts. We’re excited to collaborate with NVIDIA and PGI as an early adopter of Unified Memory. VASP Top Quantum Chemistry and Material Science Code * Applications in production and development
- 4. 4 0 20 40 60 80 100 120 140 160 Multicore Haswell Multicore Broadwell Multicore Skylake SINGLE CODE FOR MULTIPLE PLATFORMS OpenPOWER Sunway x86 CPU x86 Xeon Phi NVIDIA GPU AMD GPU PEZY-SC OpenACC - Performance Portable Programming Model for HPC KeplerPascal Volta V100 1x 2x 4x AWE Hydrodynamics CloverLeaf mini-App, bm32 data set Systems: Haswell: 2x16 core Haswell server, four K80s, CentOS 7.2 (perf-hsw10), Broadwell: 2x20 core Broadwell server, eight P100s (dgx1-prd-01), Broadwell server, eight V100s (dgx07), Skylake 2x20 core Xeon Gold server (sky-4). Compilers: Intel 2018.0.128, PGI 18.1 Benchmark: CloverLeaf v1.3 downloaded from http://uk-mac.github.io/CloverLeaf the week of November 7 2016; CloverlLeaf_Serial; CloverLeaf_ref (MPI+OpenMP); CloverLeaf_OpenACC (MPI+OpenACC) Data compiled by PGI February 2018. PGI 18.1 OpenACC Intel 2018 OpenMP 7.6x 7.9x 10x 10x 11x 40x 14.8x 15x SpeedupvsSingleHaswellCore 109x 67x 142x
- 5. 5 OPENACC IN THE NEWS InsideHPC: Accelerating HPC Applications on NVIDIA GPUs with OpenACC The Next Platform: OpenACC Developments: Past, Present, and Future READ MORE READ MORE
- 6. 6 USER GROUP MEETING Tuesday March 27th at 7:30PM John Stone Senior Research Programmer, Theoretical and Computational Biophysics Group and NIH Center for Macromolecular Modeling and Bioinformatics Randy Allen Director of Advanced Research at Mentor Graphics. Lead developer of OpenACC GCC implementation. VMD with OpenACC GCC OpenACC Updates INVITED SPEAKERS FOOD, DRINKS & FUN REGITER HERE
- 7. 7 OPENACC AT GTC 2018 – MARCH 26-29TH Talks, Tutorials, Labs, User Group Meeting Featured Talk Speaker Accelerating Molecular Modeling Tasks on Desktop and Pre-Exascale Supercomputers John Stone - Senior Research Programmer, University of Illinois An Agile Approach to Building a GPU-enabled and Performance- portable Global Cloud-resolving Atmospheric Model Richard Loft - CO, National Center for Atmospheric Research Analysis of Performance Gap Between OpenACC and the Native Approach on P100 GPU and SW26010: A Case Study with GTC-P Stephen Wang - GPU Specialist, Shanghai Jiao Tong University Porting VASP to GPUs with OpenACC Markus Wetzstein - HPC DevTech Engineer, NVIDIA Stefan Maintz - DevTech Engineer, NVIDIA LEARN MORE
- 8. 8 TUTORIALS AND LABS AT GTC Tutorial/Lab Instructor In-depth Performance Analysis for OpenACC/CUDA/OpenCL Applications with Score-P and Vampir Robert Henschel - Director Science Community Tools, Indiana University Guido Juckeland - Head of Computational Science Group, Helmholtz-Zentrum Dresden-Rossendorf Best GPU Code Practices Combining OpenACC, CUDA, and OmpSs Antonio J. Peña - Sr. Researcher, Barcelona Supercomputing Center (BSC) Programming GPU-Accelerated OpenPOWER Systems with OpenACC Andreas Herten - Post-Doctoral Researcher GPUs in HPC, Jülich Supercomputing Centre Fundamentals of Accelerated Computing with OpenACC Jeff Larkin - Senior DevTech Software Engineer, NVIDIA LEARN MORE
- 9. 9 RESOURCES Paper: Accelerating a Landscape Evolution Model with Parallelism By Richard Barnes, Energy & Resources Group, Berkeley, USA “Solving inverse problems and achieving statistical rigour in landscape evolution models requires running many model realizations...The new algorithm runs 43 x faster (70 s vs. 3,000 s on a 10,000 x 10,000 input) than the previous state of the art and exhibits sublinear scaling with input size...Tips for parallelization and a step-by-step guide to achieving it are given to help others achieve good performance with their own code. Complete, well-commented, easily adaptable source code for all versions of the algorithm is available as a supplement and on Github.” READ NOW
- 10. 10 UPCOMING EVENTS COMPLETE LIST OF EVENTS Event Date GTC 2018, San Jose, California, USA March 26-29, 2018 HPC Advisory Council: Swiss Conference 2018 April 9-12, 2018 OpenACC Workshop, BSC, Barcelona, Spain April 12-13, 2018 Pawsey Hackathon, Perth, Australia April 16-20, 2018 CSCS Directive Based GPU Programming May 14-15, 2018 GPU Hackathon: UC Boulder June 4-8, 2018 1st HPC Summer School in Colombia June 5-9, 2018 International Workshop on OpenPOWER for HPC June 28, 2018 GPU Hackathon: Brookhaven National Lab July 9-13, 2018 CSCS-USI SUMMER SCHOOL 2018 July 15-27, 2018
- 11. 11 CALL FOR PAPERS Event Date CU Boulder Hackathon, Boulder, CO, USA March 31, 2018 3rd International Workshop on Performance Portable Programming Models for Accelerators (P^3MA) April 3, 2018
Notas do Editor
- So what is OpenACC? OpenACC is a directives-based programming model designed for performance and portability on CPUs and GPUs. It was created with scientists and engineers in mind, those who are interested in porting their codes to a wide-variety of architectures and looking for a solution that can help to do so with a minimal amount of efforts. With OpenACC users can achieve significant acceleration of their codes within days and weeks by simply adding compiler directives that allow keeping their original code mostly untouched. As a result more time is saved for science and less used for programming it. Additionally to being a simple way to start with GPUs, OpenACC also allows to use the same code base for multiple platforms which saves a tremendous amount of time for scientists using machines with different architectures. OpenACC is an open specification developed by the OpenACC organization that includes 20 members with NVIDIA as one of the founding members. If you interested to learn more about OpenACC organization, its members and more, please check out openacc.org website.
- OpenACC is an established programming model that has been adopted by over 100 applications including leading HPC codes. In fact top 3 HPC application out of top 5 as defined by Intersect360 research adopted OpenACC. Gaussian, the leading quantum chemistry code has deployed OpenACC in production across the code base. ANSYS Fluent, the top computational fluid dynamics code, uses OpenACC VASP, material science and quantum chemistry code, is in the process of development OpenACC VASP version. The Oak Ridge National Lab in its Center for Accelerated Application Readiness (CAAR) program has selected OpenACC for 5 codes out of 13 to be ported to GPUs and ready for the Summit Supercomputer. We will cover key OpenACC application in more detail later in this presentation.
- OpenACC is unique because unlike other programming models it delivers performance portability – the same code runs on multiple platforms with high performance. Implementations of OpenACC now support a variety of architectures starting from x86 and OpenPOWER CPUs and NVIDIA GPUs to Sunway and Pezy-SC chips. To illustrate performance portability we ran CloverLeaf miniapp on multiple platforms using OpenACC and native CPU compilers. CloverLeaf achieves the same performance on x86 CPUs using a native Intel compiler and PGI 18.1 OpenACC implementations. Additionally OpenACC code stayed the same for CPU and GPU implementations. And yes, Pascal and Volta GPUs deliver the highest performance for CloverLeaf.