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SC26 Test of Time Award Recognizes Lasting Work in GPU Sparse Computing
HPCwire1 min read
Sept. 29, 2026 — When Nathan Bell and Michael Garland presented their work on sparse matrix-vector multiplication at SC09, general-purpose GPU computing was still relatively young. CUDA had been introduced only a few years earlier, and researchers were still learning which problems could take advantage of the highly parallel architecture of GPUs, and how. Seventeen years […] The post SC26 Test of Time Award Recognizes Lasting Work in GPU Sparse Computing appeared first on HPCwire.
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