435 citations · 1.3k across the 28 of their papers we have counts for
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cs.DS2023★ 5 cited
Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU
Muhammad Osama, Duane Merrill, Cris Cecka +2
We introduce Stream-K, a work-centric parallelization of matrix multiplication (GEMM) and related computations in dense linear algebra. Whereas contemporary decompositions are prim…
cs.DS2021
Better GPU Hash Tables
Muhammad A. Awad, Saman Ashkiani, Serban D. Porumbescu +2
We revisit the problem of building static hash tables on the GPU and design and build three bucketed hash tables that use different probing schemes. Our implementations are lock-fr…