SC26 Test of Time Award Recognizes Lasting Work in GPU Sparse Computing

<p>Sept. 29, 2026 &#8212; 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 [&#8230;]</p> <p>The post <a href="https://www.hpcwire.com/off-the-wire/sc26-test-of-time-award-recognizes-lasting-work-in-gpu-sparse-computing/">SC26 Test of Time Award Recognizes Lasting Work in GPU Sparse Computing</a> appeared first on <a href="https://www.hpcwire.com">HPCwire</a>.</p>