Performance Results at Exascale in HPC and ML
DescriptionIncreasing workload fidelity and achieving faster time to solution has required the deployment of the world's first exascale systems. However, the scale of these systems present programming challenges due to greatly increased parallelism and heterogeneity. This talk details early performance results at scale on systems such as Frontier using a variety of techniques across HPC and Machine Learning, such as MPI and RCCL. We conclude with a discussion of the significance and impact of programming models on applications with GPUs/accelerators during the post-exascale era.
Event Type
TimeMonday, 14 November 202210:30am - 11am CST
Registration Categories
AI-HPC Convergence
Extreme Scale Computing
Parallel Programming Languages and Models
Runtime Systems
Session Formats
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