SOBER
发表于 2025-3-23 11:22:02
Stephanie Brun de Pontet,Craig E. Aronoff,Drew S. Mendoza,John L. Wardocessing model of parallelization. Using the streaming model, an algorithm is divided into a set of small independent tasks called kernels that are linked together using first-in first-out data channels. The advantage of this approach is that it allows a compiler to effectively map computations to a
蜿蜒而流
发表于 2025-3-23 15:43:00
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承认
发表于 2025-3-23 19:50:35
Stephanie Brun de Pontet,Craig E. Aronoff,Drew S. Mendoza,John L. Wardtrices. Our model is first trained offline using training matrix samples, and the trained model can be applied to any input matrix and GNN kernels with SpMM computation. We implement our approach on top of PyTorch and apply it to 5 representative GNN models running on a multi-core CPU using real-lif
orthopedist
发表于 2025-3-24 02:09:24
C or Fortran compiler with OpenMP support to generate parallel machine code for the target multicore. Additionally, using the OSCAR API analyzer allows a sequential-only compiler without OpenMP support to generate machine code for each core separately, which is then linked to one parallel applicati
PATHY
发表于 2025-3-24 05:03:01
Stephanie Brun Pontet,Craig E. Aronoff,John L. War
诱惑
发表于 2025-3-24 10:36:13
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META
发表于 2025-3-24 11:53:23
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认为
发表于 2025-3-24 16:42:58
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Gudgeon
发表于 2025-3-24 19:43:34
Siblings and the Family Business978-1-137-51188-1Series ISSN 2947-3985 Series E-ISSN 2947-3993
纯朴
发表于 2025-3-25 00:02:40
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