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Abstract:
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.
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.  Back
 
Topics:
Programming Languages, HPC and Supercomputing
Type:
Tutorial
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8382
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Abstract:
OpenMP has a long history on shared memory, CPU-based machines, but has recently begun to support offloading to GPUs and other parallel accelerators. This talk will discuss the current state of compilers for OpenMP on NVIDIA GPUs, showing results and best practices from real applications. Developers interested in writing OpenMP codes for GPUs will learn how best to achieve good performance and portability.
OpenMP has a long history on shared memory, CPU-based machines, but has recently begun to support offloading to GPUs and other parallel accelerators. This talk will discuss the current state of compilers for OpenMP on NVIDIA GPUs, showing results and best practices from real applications. Developers interested in writing OpenMP codes for GPUs will learn how best to achieve good performance and portability.  Back
 
Topics:
HPC and AI, Programming Languages
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8344
Streaming:
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