Presentation

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Extreme-Scale Performance Evaluation Tools

DescriptionHigh-performance computing platforms are evolving at a rapid pace with the integration of GPUs from three major vendors (NVIDIA, AMD, and Intel). With the rise of AI/ML use cases, software frameworks that target heterogeneous architectures are now trying to adapt to hybrid HPC and AI/ML workloads. Performance evaluation tools that have supported HPC architectures for years must now adapt to this extreme-scale heterogeneity with support for GPU runtimes that target diverse programming models. These programming models include OpenMP target offload directives, DPC++/SYCL, CUDA, HIP, OpenACC, OpenCL, MPI and require distinct performance instrumentation interfaces. This panel will discuss the challenges facing portable performance evaluation tools and will include panelists from national laboratories, industry, as well as academic institutions in the US and Europe. These panelists represent leading performance evaluation tools in the HPC and AI/ML research community as well as industry.

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