OpenACC Monthly Highlights - May and June 2018
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Catch up on OpenACC momentum across key HPC codes, upcoming GPU hackathons, and more with OpenACC Monthly Highlights for May and June 2018.
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OpenACC Monthly Highlights - May and June 2018
- 1. May and June 2018 OPENACC 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.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 OPENACC IN THE NEWS Oak Ridge National Lab on industrial OpenACC codes: Boosting industry with OpenACC Read More OpenACC Blog: Evaluating the Performance of OpenACC in GCC Read More
- 5. 5 RESOURCES Tutorial: Zero to GPU Hero with OpenACC by Jeff Larkin GPUs are often the fastest way to obtain your scientific results, but many students and domain scientists don't know how to get started. In this tutorial we will take an application from simple, serial loops to a fully GPU-enabled application. Students will learn a profile-guided approach to accelerating applications, including how to find hotspots, how to use OpenACC to accelerated important regions of code, and how to get the best performance they can on GPUs. No prior experience in GPU-programming or OpenACC is required, but experience with C, C++, or Fortran is a must. Several books will be given away to attendees who complete this tutorial. WATCH NOW
- 6. 6 CALL FOR APPLICATIONS Event Date NCSA GPU Hackathon June 18, 2018 BNL GPU Hackathon June 30, 2018 CSCS GPU Hackathon July 8, 2018
- 7. 7 UPCOMING EVENTS COMPLETE LIST OF EVENTS Event Date International Workshop on OpenPOWER for HPC June 28, 2018 P3MA Workshop at ISC June 28, 2018 PASC July 2-4, 2018 CSCS-USI SUMMER SCHOOL 2018 July 15-27, 2018 2018 NCTS Summer Course: Introduction to Parallel Computing (II) July 16-19, 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.