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2017 GTC San Jose

S7636 - Cache Directive Optimization in OpenACC Programming Model

Session Speakers
Session Description

OpenACC is a directive-based programming model that provides a simple interface to exploit GPU computing. As the GPU employs deep memory hierarchy, appropriate management of memory resources becomes crucial to ensure performance. The OpenACC programming model offers the cache directive to use on-chip hardware (read-only data cache) or software-managed (shared memory) caches to improve memory access efficiency. We have implemented several strategies to promote the shared memory utilization in our PGI compiler suite. We'll briefly discuss our investigation of cases that can be potentially optimized by the cache directive and then dive into the underlying implementation. Our compiler is evaluated with self-written micro-benchmarks as well as some real-world applications. 


Additional Session Information
Intermediate
Talk
HPC and Supercomputing Performance Optimization Programming Languages
Software
25 minutes
Session Schedule