PICO is a benchmarking framework for collective operations that decouples portable setup from platform execution, supplies reference MPI implementations, and shows default choices can be up to 5x slower with up to 44% end-to-end training time reductions in simulator replays.
xccl: A survey of industry-led collective communication libraries for deep learning,
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A systems analysis of NVSHMEM's device-side symmetric memory programming model and performance characteristics, including a DeepEP case study.
A survey categorizing vendor mechanisms and user-level libraries for GPU-centric communication within and across nodes, with discussion of benefits, challenges, and open questions.
citing papers explorer
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PICO: Performance Insights for Collective Operations
PICO is a benchmarking framework for collective operations that decouples portable setup from platform execution, supplies reference MPI implementations, and shows default choices can be up to 5x slower with up to 44% end-to-end training time reductions in simulator replays.
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Demystifying NVSHMEM: A System-Level Analysis on Symmetric Memory and Device-Initiated Operations in GPU Communication
A systems analysis of NVSHMEM's device-side symmetric memory programming model and performance characteristics, including a DeepEP case study.
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The Landscape of GPU-Centric Communication
A survey categorizing vendor mechanisms and user-level libraries for GPU-centric communication within and across nodes, with discussion of benefits, challenges, and open questions.