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Wu-Chun Feng

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#edge computing Book Open access Sep 2026

Sparsity-aware Fine-Grained Parallelization for Set Intersection Computations in Graph Datasets

A fine-grained GPU parallelization approach that adapts to workload characteristics by assigning set intersection computations within a graph to the most suitable parallelization strategies, and predicts the optimal parallelization approach between this fine-grained and other state-of-the-art GPU kernels with 88% accuracy.

Atharva Gondhalekar, 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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