OpenACC Monthly Highlights: June 2021
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The June 2021 OpenACC Monthly Highlights discusses the OpenACC programming model's growing adoption in high-performance computing, emphasizing its efficient use for GPU acceleration in various applications. It also announces the upcoming OpenACC Summit, featuring interactive discussions and expert sessions, and highlights notable events and collaborations in the HPC and AI sectors. The document underscores advancements in GPU computing and the strategic importance of community engagement within the OpenACC ecosystem.
OpenACC Monthly Highlights: June 2021
- 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 230+ 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 LEARN MORE Expanding from the annual meeting, the OpenACC Summit brings together users of the OpenACC programming model, members of the OpenACC organization, and the scientific computing community across national laboratories, research institutions and industry. This year’s Summit is completely online and features a keynote, Birds-of-a-Feather (BoF) interactive discussion, invited talks, and a “Connect with Experts” session. SAVE THE DATE: OPENACC SUMMIT 2021 SEPTEMBER 14-15, 2021 | DIGITAL EVENT
- 5. 5 DON’T MISS THESE UPCOMING EVENTS COMPLETE LIST OF EVENTS Event Call Closes Event Date C-DAC HPC Hackathon 2021 July 6, 2021 July 26, August 2-4, 2021 NVIDIA AI for Science Bootcamp July 18, 2021 July 28-29, 2021 MCIT & NVIDIA AI for Science Bootcamp July 31, 2021 August 13-14, 2021 EPFL OpenACC Bootcamp August 26, 2021 September 9-10, 2021 NASA Hackathon 2021 July 20, 2021 September 20, 27-29, 2021 CSCS GPU Hackathon 2021 July 13, 2021 September 20, 27-29, 2021 NCHC GPU Hackathon 2021 August 5, 2021 October 5, 12-14, 2021 Digital in 2021: Many of our events will continue to happen digitally! Get the same high-touch training and mentorship without the hassle of travel!
- 6. 6 VIEW ON-DEMAND NVIDIA's GPU Technology Conference (GTC) is the premier digital conference to discover the advanced technologies that are transforming today's industries. View GTC On-Demand for the technical talks, interactive panels and training covering OpenACC and GPU Hackathon topics at the intersection of HPC, AI and Data Science. Registration for NVIDIA's developer program is required to view content. DON’T DELAY, HIT REPLAY NVIDIA GTC21 ON DEMAND
- 7. 7 READ THE BLOG Quantum mechanics (QM), a theory that describes the physical properties of nature on the atomic and subatomic scale, is the basis for molecular and materials scientists but QM calculations require tremendous computer power. A small team of postdoctoral scholars led by Andreas Goetz from the San Diego Supercomputer Center (SDSC) at UC San Diego and his colleague Kenneth Merz at Michigan State University (MSU) developed software that takes advantage of powerful GPUs for these complex QM calculations of molecules. Learn more about this seminal research, initiated partly at the first digital GPU Hackathon co-hosted with SDSC, OpenACC and NVIDIA. A QUANTUM LEAP FOR MOLECULAR SIMULATIONS ON GPUS Image credit: M. Manathunga, A. W. Goetz, B. Tolo
- 8. 8 READ THE PAPER The High Energy Physics (HEP) experiments, such as those at the Large Hadron Collider (LHC), traditionally consume large amounts of CPU cycles for detector simulations and data analysis, but rarely use compute accelerators such as GPUs. As the LHC is upgraded to allow for higher luminosity, relying on CPUs may not provide enough compute power. A team from Brookhaven National Laboratory, Lawrence Berkeley National Laboratory and University of California, Berkeley investigate the feasibility of porting a HEP parameterized calorimeter simulation code to GPUs. Learn more about their approach using CUDA, initiated partly at the Brookhaven GPU Hackathon. PORTING HEP PARAMETERIZED CALORIMETER SIMULATION CODE TO GPUS Figure 1: Normalized timing of multiple concurrent jobs running on the same node sharing GPUs with nvidia-cuda-mps-server.
- 9. 9 VIEW THE ARTICLE Argonne National Laboratory (Argonne) in collaboration with Oak Ridge National Laboratory (ORNL), has awarded Codeplay Software a contract implementing the oneAPI DPC++ compiler, an implementation of the SYCL open standard software, to support AMD GPU-based high-performance compute (HPC) supercomputers. Both institutions will be deploying exascale supercomputers, capable of processing 1018 calculations per second, and enabling SYCL open standard will provide another common programming model to develop scientific applications for heterogenous compute environments. CODEPLAY AWARDED CONTRACT TO STRENGTHEN SYCL SUPPORT Image credit: Intel Image credit: ORNL
- 10. 10 READ THE ARTICLE Despite the uncertainty fueled by the pandemic, the broad HPC market finished 2020 at $38.9 billion in revenue and has returned to its growth track, projected to reach $60 billion in 2025, as reported by Intersect360 Research. While several HPC sectors slowed, surging government spending to fight the pandemic and ongoing supercomputer market strength helped prevent an HPC freefall. Notworthy, HPC-related cloud spending soared 78.8 percent and HPC storage nudged up slightly. INTERSECT360: HPC MARKET REBOUNDING ON TRACK TO REACH $60 BILLION IN 2025
- 11. 11 LEARN MORE At ISC High Performance 2021, a European virtual conference for high-performance computing (HPC), the Oak Ridge Leadership Computing Facility’s (OLCF’s) supercomputer Summit was ranked as the world’s second-fastest supercomputer in the 57th TOP500 list. But it also took second place in a relatively new benchmark test apart from the main competition: High-Performance Linpack–Accelerator Introspection (HPL-AI). The HPL-AI benchmark seeks to highlight the emerging convergence of high-performance computing (HPC) and artificial intelligence (AI) workloads. BENCHMARKING MIXED-PRECISION PERFORMANCE
- 12. 12 RESOURCES Paper: Practical parallelization of scientific applications with OpenMP, OpenACC and MPI Marco Aldinucci, Valentina Cesare, Iacopo Colonnelli, Alberto Riccardo Martinelli, Gianluca Mittone, Barbara Cantalupo, Carlo Cavazzoni, and Maurizio Drocco This work aims at distilling a systematic methodology to modernize existing sequential scientific codes with a little re-designing effort, turning an old codebase into modern code, i.e., parallel and robust code. We propose a semi-automatic methodology to parallelize scientific applications designed with a purely sequential programming mindset, possibly using global variables, aliasing, random number generators, and stateful functions. We demonstrate that the same methodology works for the parallelization in the shared memory model (via OpenMP), message passing model (via MPI), and General Purpose Computing on GPU model (via OpenACC). The method is demonstrated parallelizing four real-world sequential codes in the domain of physics and material science. The methodology itself has been distilled in collaboration with MSc students of the Parallel Computing course at the University of Torino, that applied it for the first time to the project works that they presented for the final exam of the course. Every year the course hosts some special lectures from industry representatives, who present how they use parallel computing and offer codes to be parallelized. READ PAPER
- 13. 13 RESOURCES Website: GPUHackathons.org Technical Resources VISIT SITE Explore a wealth of resources for GPU-accelerated computing across HPC, AI and Big Data. Review a collection of videos, presentations, GitHub repos, tutorials, libraries and more to help you advance your skills and expand your knowledge.
- 14. 14 LEARN MORE Are you passionate about science and technology? Want to help researchers accelerate their scientific codes or refine their AI projects? Become a GPU Hackathon mentor and connect scientists to available tools, techniques and GPU architectures. Sharpen your skills, learn about the latest research efforts, and collaborate across the computing and scientific community. Certification is available for HPC and AI pathways. BECOME A GPU HACKATHON MENTOR I strongly believe in the concept of community science. Scientists should not be siloed; they should be continually contributing their codes back and working collaboratively on projects at these GPU Hackathons. “ “ Max Katz Senior Solutions Architect, NVIDIA Mentor for GPU Hackathons
- 15. 15 STAY IN THE KNOW: JOIN THE OPENACC COMMUNITY JOIN TODAY The OpenACC specification is designed for, and by, users meaning that the OpenACC organization relies on our users’ active participation to shape the specification and to educate the scientific community on its use. Take an active role in influencing the future of both the OpenACC specification and the organization itself by becoming a member of the community.