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Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures.

, , , , , , , , , , , , , and . IEEE Trans. Vis. Comput. Graph., 15 (6): 1563-1570 (2009)

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FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference., , , , , , and . CoRR, (2021)Efficient backprojection-based synthetic aperture radar computation with many-core processors., , , , and . Sci. Program., 21 (3-4): 165-179 (2013)Sparso: Context-driven Optimizations of Sparse Linear Algebra., , , , and . PACT, page 247-259. ACM, (2016)The Architectural Implications of Facebook's DNN-Based Personalized Recommendation., , , , , , , , , and 6 other author(s). HPCA, page 488-501. IEEE, (2020)Efficient backprojection-based synthetic aperture radar computation with many-core processors., , , , and . SC, page 28. IEEE/ACM, (2012)Efficient sparse matrix-vector multiplication on x86-based many-core processors., , , and . ICS, page 273-282. ACM, (2013)An algorithm for the fast solution of symmetric linear complementarity problems., , and . Numerische Mathematik, 111 (2): 251-266 (2008)Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems., , , , , , , , , and 5 other author(s). CoRR, (2020)Supporting Massive DLRM Inference Through Software Defined Memory., , , , , , , , , and 10 other author(s). CoRR, (2021)RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing., , , , , , , , , and 11 other author(s). ISCA, page 790-803. IEEE, (2020)