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Tariq receives his best paper award at EuroPar'2020
About
Maximizing I/O Bandwidth for Out-of-Core HPC Applications on Heterogeneous Large-Scale Systems
Best Paper Presentation by Tariq Alturkestani
PhD Student, Computer Science, KAUST
Thursday, Aug 27, 3:30pm - 4:00pm (AST)
https://zoom.us/j/99947879910
Tariq will present his best paper at EuroPar'2020 at the virtual EuroPar'2020 conference in Warsaw, Poland.
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The reverse time migration (RTM) method is critical in seismic imaging for oil and gas industries. He demonstrates the effectiveness of his Multilayer Buffer System (MLBS) framework on Shaheen-2 (using 2048 compute nodes) and Summit supercomputers (using 2048 compute nodes equipped with a total of 12288 GPUs. MLBS achieves up to 2.5X and 1.4X performance speedups compared to the reference RTM implementation for a large 3D solution grid on Shaheen-2 and Summit, respectively.
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The paper is available online at Springer LNCS. The talk is available on YouTube. Live Q&A session on Zoom following the talk. Questions can also be asked on Slack Channel.