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GTC On-Demand

Performance Optimization
Presentation
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Cache Directive Optimization in OpenACC Programming Model
Xiaonan Tian (NVIDIA)
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 pro ...Read More

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. 

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Keywords:
Performance Optimization, Programming Languages, HPC and Supercomputing, GTC Silicon Valley 2017 - ID S7636
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