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UID:facd9307-c622-4ea2-af12-da3d88863dc7@support.access-ci.org
DTSTAMP:20260826T170519Z
DTSTART:20260908T180000Z
DTEND:20260908T190000Z
SUMMARY:Accelerating scientific applications with OpenMP offload on SDSC Co
 smos (Advanced Computing Series)
DESCRIPTION:SummaryMost of the performance improvements in the past decade 
 came from GPU compute. Most compute-heavy codes thus have a strong incenti
 ve to transition from CPU-only to GPU-accelerated. Luckily, many parallel 
 programming concepts that apply to CPU-only compute can also be exploited 
 on the GPUs, thus OpenMP offload emerged as one of the easiest paradigms f
 or accelerating existing code bases. Unfortunately, not everything that ca
 n be done in CPU-only OpenMP can be done on the GPU, and in this talk we w
 ill explore what those limitations are and how to work around them. There 
 are also performance considerations that one must consider, with partition
 ing of memory between CPU and GPU cores being one major one. We will explo
 re those considerations both in traditional discrete-GPU systems and in mo
 re advanced systems, like the AMD MI300A-based SDSC Cosmos.InstructorIgor 
 Sfiligoi has a long history of helping various scientific groups optimize 
 and accelerate their codes on various architecture. He has been working wi
 th datacenter-grade GPU systems for almost a decade and has experienced fi
 rst-hand the pains of GPU-acceleration during that period. He has also see
 n the rise and fall of various accelerator ecosystems over that time and h
 as a deep appreciation of how dynamic this environment has been over this 
 period. He is also one of the co-PIs of the SDSC Cosmos HPC system.See a f
 ull list of SDSC's upcoming training and events here.
URL:https://support.access-ci.org/events/9256
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