PPT-OpenACC

Author : jane-oiler | Published Date : 2017-06-30

cache Directive Opportunities and Optimizations Ahmad Lashgar amp Amirali Baniasadi ECE Department University of Victoria November 14 2016 1 Directivebased

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OpenACC: Transcript

cache Directive Opportunities and Optimizations Ahmad Lashgar amp Amirali Baniasadi ECE Department University of Victoria November 14 2016 1 Directivebased Accelerator Programming Models. CUDA Platform. CUDA Parallel Computing Platform. . Hardware . . . Capabilities. GPUDirect. SMX. Dynamic Parallelism. HyperQ. Programming . Approaches. Libraries. “Drop-in” Acceleration. Co-Design. Virginia Tech. AFOSR-BRI Workshop. July . 20-21, . 2014. Keyur Joshi. , Long He . & Danesh Tafti. Collaborators. Xuewen. Cui, . Hao. Wang, Wu-. chun. . Feng &. Eric de . Sturler. OpenACC. Directives. subroutine . saxpy. (n, a, x, y) . real :: x(:), y(:), a. integer :: n, . i. $!. acc. kernels. do . i. =1,n. y(. i. ) = a*x(. i. )+y(. i. ). . enddo. $!. acc. end kernels. openacc. Ebad. . Salehi. , Ahmad . Lashgar. and . Amirali. . Baniasadi. Electrical and Computer Engineering Department. University of Victoria. This Work. Motivation: Effective memory bandwidth usage is needed to achieve high performance in GPUs.. Quentin Ochem. October 4. th. , 2018. What is GPGPU?. GPU were traditionally dedicated to graphical rendering …. … but their capability is really vectorized computation. Enters General Programming GPU (GPGPU). Mark Taylor. mataylo@sandia.gov. E3SM Machine Roadmap . CPUs: . BER purchased dedicated systems. Anvil, . CompyMcNodeFace. : 6.2M node-hours per year. Great machines for moderate resolutions – fastest performance. Performance portability: An implementer’s Perspective. Versatility of HPE Cray Programming Environment (CPE). Platforms from HPE/Cray. Supported by CPE. 2. AMD CPUs and NVIDIA GPUs. AMD CPUs and AMD GPUs.

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