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Author

Paul Sathre

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Book Open access Sep 2026

Chapel for Parallel AND Distributed GPU Computing: A Case Study with Jaccard Similarity

This work explores the efficacy of the Chapel programming language’s GPU support for implementing irregular distributed GPU graph applications. Chapel’s partitioned global address space (PGAS) model provides a cohesive way to target distributed nodes, CPU concurrency and task parallelism, and both CPU and GPU single in...

Paul Sathre, Wu-Chun Feng · 0 citations
#edge computing Book Open access Sep 2026

Chapel for Parallel AND Distributed GPU Computing: A Case Study with Jaccard Similarity

Overall, when evaluating both Chapel and MPI+X implementations of partitioned Jaccard similarity on up to 16 A100-80GB GPUs across four nodes, Chapel achieves comparable performance to MPI+X while also delivering significantly better programmer productivity and agility.

Paul Sathre, Wu-Chun Feng · 0 citations

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