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OpenACC and Open Hackathons Monthly Highlights: September 2022.pptx

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Stay up-to-date on the latest news, research and resources. This month's edition covers the Princeton GPU Hackathon, OpenACC at SC22, updates from GNU Tools Cauldron, the upcoming UK DPU Hackathon, relevant research and more!

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September 2022 OPENACC AND OPEN HACKATHONS MONTHLY HIGHLIGHTS
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 Organization
3 silica IFPEN, RMM-DIIS on P100 OPENACC SPECIFICATION MOMENTUM Wide Adoption Across Key HPC Codes ANSYS Fluent Gaussian VASP LSDalton MPAS GAMERA GTC XGC ACME FLASH COSMO Numeca 400+ 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. Were 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 READ BLOG The fourth annual GPU Hackathon at Princeton University paired experts from NVIDIA, Princeton, Oak Ridge National Laboratory, Boston College, and the Institute of Electrical and Electronics Engineers with scientists to help them speed up their code. 2022 PRINCETON GPU HACKATHON Pairing Industry Mentors with Researchers They all saw performance gains and increased their knowledge of GPU computing. It's an incredibly valuable resource. It's free, and you basically get two experts who are willing to devote themselves to improving your code. Jonathan Halverson Research Software and Computing Training Lead Princeton Institute for Computational Science & Engineering (PICSciE)
5 UPCOMING OPEN HACKATHONS & BOOTCAMPS COMPLETE LIST OF EVENTS Event Call Closes Event Date KMA and NOAA Workshop on AI for Weather and Climate October 10, 2022 October 21, 2022 NVIDIA/HLRS SciML GPU Bootcamp October 5, 2022 October 24-25, 2022 TWCC Open Hackathon 2022 October 12, 2022 November 29-30, December 1-2, 2022 Westlake University GPU Hackathon 2022 October 12, 2022 November 29, December 7-9, 2022 Digital in 2022: Our virtual events continue to offer the same high-touch training and mentorship without the hassle of travel!
6 REGISTER NOW The SC Conference brings together thousands of attendees from the international high-performance computing community. This years theme HPC Accelerates explores how supercomputing is continuously changing the world, by accelerating the process of reaching solutions for corporations, governments, and other organizations eager for ASAP computing. Join the OpenACC and Hackathons conversation at SC22 by attending one of our two Birds-of-a-Feather interactive discussions or any of the talks and workshops to learn about the research, roadmaps and latest developments. SAVE THE DATE FOR SC22! November 13-18, 2022 | Dallas, TX
7 READ ARTICLE At the recent GNU Tools Cauldron, Siemens presented a status update on the work around GPU accelerator offloading for the GNU Compiler Collection (GCC) and the work being done around OpenMP and OpenACC support. Development discussed included initial AMD Instinct MI200 support, unified shared memory, more SIMD functionality, CUDA 11+ support, OpenACC worker parallelism for AMD GPUs, code generation optimizations and more. GCC IMPROVEMENTS CONTINUE Updates from GNU Tools Cauldron
8 REGISTER NOW Passionate about advancing accelerating computing? Join the HPC-AI Advisory Council UK DPU (Data Processing Unit) Hackathon and be part of the next evolution in accelerating supercomputing and HPC Cloud infrastructures. Take part in supercharging capabilities for AI, networking, storage, and security by familiarizing yourself with DPUs and their software framework and building an innovative accelerated application. You and your team will be part of the DPU innovation space, build your network, meet experts, and show what you can accomplish. HPC-AI ADVISORY COUNCIL UK DPU HACKATHON October 10-20, 2022 | Digital Event
9 RESOURCES The complexity of heterogeneous computing architectures, as well as the demand for productive and portable parallel application development, have driven the evolution of parallel programming models to become more comprehensive and complex than before. Enhancing the conventional compilation technologies and software infrastructure to be parallelism-aware has become one of the main goals of recent compiler development. In this paper, we propose the design of unified parallel intermediate representation (UPIR) for multiple parallel programming models and for enabling unified compiler transformation for the models. UPIR specifies three commonly used parallelism patterns (SPMD, data and task parallelism), data attributes and explicit data movement and memory management, and synchronization operations used in parallel programming. We demonstrate UPIR via a prototype implementation in the ROSE compiler for unifying IR for both OpenMP and OpenACC and in both C/C++ and Fortran, for unifying the transformation that lowers both OpenMP and OpenACC code to LLVM runtime, and for exporting UPIR to LLVM MLIR dialect. READ PAPER Paper: UPIR: Toward the Design of Unified Parallel Intermediate Representation for Parallel Programming Models Anita Wang, Xinyao Yi, and Yonghong Yan
10 RESOURCES In the present paper, an efficient General Purpose Graphical Processing Unit (GPGPU)-based implementation of sparse grid Particle-In-Cell (PIC) methods is proposed. The parallelization, implementing novel strategies specific to SparsePIC methods and tailored to GPU architectures, provides speed-ups* as large as 100 on a single Tesla V100 GPU with respect to sequential Computing Processing unit (CPU) execution; and a four order of magnitude reduction of the computational time in comparison with a standard PIC sequential CPU simulation. In addition, the simple implementation of the parallelization with the OpenACC framework offers portability to a large class of accelerators. READ PAPER Paper: Efficient Parallelization for 3D-3V Sparse Grid Particle-In-Cell Fabrice Deluzet, G. Fubiani, Laurent Garrigues, Cl辿ment Guillet, and Jacek Narski Figure 5. DRAM and L2 cache roof-line performance of the Tesla V100 and Quadro T2000. Kernel with arithmetic intensity below the theoretical instruction throughput peak are memory bounded.
11 RESOURCES Website: OpenHackathons.org Technical Resources VISIT SITE Explore a wealth of resources for parallelization and 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.
12 STAY IN THE KNOW: JOIN THE COMMUNITY OPENACC AND HACKATHON UPDATES JOIN TODAY The OpenACC Organization is dedicated to helping the research and developer community advance science by expanding their accelerated and parallel computing skills. Take an active role in influencing the future of both the OpenACC specification and the organization itself by becoming a member of the community. Keep abreast of the new tools, latest resources, recent research, and upcoming events.
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OpenACC and Open Hackathons Monthly Highlights: September 2022.pptx

  • 1. September 2022 OPENACC AND OPEN HACKATHONS MONTHLY HIGHLIGHTS
  • 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 Organization
  • 3. 3 silica IFPEN, RMM-DIIS on P100 OPENACC SPECIFICATION MOMENTUM Wide Adoption Across Key HPC Codes ANSYS Fluent Gaussian VASP LSDalton MPAS GAMERA GTC XGC ACME FLASH COSMO Numeca 400+ 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. Were 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 READ BLOG The fourth annual GPU Hackathon at Princeton University paired experts from NVIDIA, Princeton, Oak Ridge National Laboratory, Boston College, and the Institute of Electrical and Electronics Engineers with scientists to help them speed up their code. 2022 PRINCETON GPU HACKATHON Pairing Industry Mentors with Researchers They all saw performance gains and increased their knowledge of GPU computing. It's an incredibly valuable resource. It's free, and you basically get two experts who are willing to devote themselves to improving your code. Jonathan Halverson Research Software and Computing Training Lead Princeton Institute for Computational Science & Engineering (PICSciE)
  • 5. 5 UPCOMING OPEN HACKATHONS & BOOTCAMPS COMPLETE LIST OF EVENTS Event Call Closes Event Date KMA and NOAA Workshop on AI for Weather and Climate October 10, 2022 October 21, 2022 NVIDIA/HLRS SciML GPU Bootcamp October 5, 2022 October 24-25, 2022 TWCC Open Hackathon 2022 October 12, 2022 November 29-30, December 1-2, 2022 Westlake University GPU Hackathon 2022 October 12, 2022 November 29, December 7-9, 2022 Digital in 2022: Our virtual events continue to offer the same high-touch training and mentorship without the hassle of travel!
  • 6. 6 REGISTER NOW The SC Conference brings together thousands of attendees from the international high-performance computing community. This years theme HPC Accelerates explores how supercomputing is continuously changing the world, by accelerating the process of reaching solutions for corporations, governments, and other organizations eager for ASAP computing. Join the OpenACC and Hackathons conversation at SC22 by attending one of our two Birds-of-a-Feather interactive discussions or any of the talks and workshops to learn about the research, roadmaps and latest developments. SAVE THE DATE FOR SC22! November 13-18, 2022 | Dallas, TX
  • 7. 7 READ ARTICLE At the recent GNU Tools Cauldron, Siemens presented a status update on the work around GPU accelerator offloading for the GNU Compiler Collection (GCC) and the work being done around OpenMP and OpenACC support. Development discussed included initial AMD Instinct MI200 support, unified shared memory, more SIMD functionality, CUDA 11+ support, OpenACC worker parallelism for AMD GPUs, code generation optimizations and more. GCC IMPROVEMENTS CONTINUE Updates from GNU Tools Cauldron
  • 8. 8 REGISTER NOW Passionate about advancing accelerating computing? Join the HPC-AI Advisory Council UK DPU (Data Processing Unit) Hackathon and be part of the next evolution in accelerating supercomputing and HPC Cloud infrastructures. Take part in supercharging capabilities for AI, networking, storage, and security by familiarizing yourself with DPUs and their software framework and building an innovative accelerated application. You and your team will be part of the DPU innovation space, build your network, meet experts, and show what you can accomplish. HPC-AI ADVISORY COUNCIL UK DPU HACKATHON October 10-20, 2022 | Digital Event
  • 9. 9 RESOURCES The complexity of heterogeneous computing architectures, as well as the demand for productive and portable parallel application development, have driven the evolution of parallel programming models to become more comprehensive and complex than before. Enhancing the conventional compilation technologies and software infrastructure to be parallelism-aware has become one of the main goals of recent compiler development. In this paper, we propose the design of unified parallel intermediate representation (UPIR) for multiple parallel programming models and for enabling unified compiler transformation for the models. UPIR specifies three commonly used parallelism patterns (SPMD, data and task parallelism), data attributes and explicit data movement and memory management, and synchronization operations used in parallel programming. We demonstrate UPIR via a prototype implementation in the ROSE compiler for unifying IR for both OpenMP and OpenACC and in both C/C++ and Fortran, for unifying the transformation that lowers both OpenMP and OpenACC code to LLVM runtime, and for exporting UPIR to LLVM MLIR dialect. READ PAPER Paper: UPIR: Toward the Design of Unified Parallel Intermediate Representation for Parallel Programming Models Anita Wang, Xinyao Yi, and Yonghong Yan
  • 10. 10 RESOURCES In the present paper, an efficient General Purpose Graphical Processing Unit (GPGPU)-based implementation of sparse grid Particle-In-Cell (PIC) methods is proposed. The parallelization, implementing novel strategies specific to SparsePIC methods and tailored to GPU architectures, provides speed-ups* as large as 100 on a single Tesla V100 GPU with respect to sequential Computing Processing unit (CPU) execution; and a four order of magnitude reduction of the computational time in comparison with a standard PIC sequential CPU simulation. In addition, the simple implementation of the parallelization with the OpenACC framework offers portability to a large class of accelerators. READ PAPER Paper: Efficient Parallelization for 3D-3V Sparse Grid Particle-In-Cell Fabrice Deluzet, G. Fubiani, Laurent Garrigues, Cl辿ment Guillet, and Jacek Narski Figure 5. DRAM and L2 cache roof-line performance of the Tesla V100 and Quadro T2000. Kernel with arithmetic intensity below the theoretical instruction throughput peak are memory bounded.
  • 11. 11 RESOURCES Website: OpenHackathons.org Technical Resources VISIT SITE Explore a wealth of resources for parallelization and 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.
  • 12. 12 STAY IN THE KNOW: JOIN THE COMMUNITY OPENACC AND HACKATHON UPDATES JOIN TODAY The OpenACC Organization is dedicated to helping the research and developer community advance science by expanding their accelerated and parallel computing skills. Take an active role in influencing the future of both the OpenACC specification and the organization itself by becoming a member of the community. Keep abreast of the new tools, latest resources, recent research, and upcoming events.