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Can traditional programming bridge the ninja performance gap for parallel computing applications?

, , , , , , , and . Commun. ACM, 58 (5): 77-86 (2015)

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Efficient backprojection-based synthetic aperture radar computation with many-core processors., , , , and . Scientific Programming, 21 (3-4): 165-179 (2013)Efficient backprojection-based synthetic aperture radar computation with many-core processors., , , , and . SC, page 28. IEEE/ACM, (2012)Optimizations in a high-performance conjugate gradient benchmark for IA-based multi- and many-core processors., , , , , , , , , and 2 other author(s). IJHPCA, 30 (1): 11-27 (2016)Sparso: Context-driven Optimizations of Sparse Linear Algebra., , , , and . PACT, page 247-259. ACM, (2016)Sparsifying Synchronization for High-Performance Shared-Memory Sparse Triangular Solver., , , and . ISC, volume 8488 of Lecture Notes in Computer Science, page 124-140. Springer, (2014)Atomic Vector Operations on Chip Multiprocessors., , , , , , , , and . ISCA, page 441-452. IEEE Computer Society, (2008)An algorithm for the fast solution of symmetric linear complementarity problems., , and . Numerische Mathematik, 111 (2): 251-266 (2008)High performance emulation of quantum circuits., , , and . SC, page 74. ACM, (2016)Efficient sparse matrix-vector multiplication on x86-based many-core processors., , , and . ICS, page 273-282. ACM, (2013)Improving Communication Performance and Scalability of Native Applications on Intel Xeon Phi Coprocessor Clusters., , , , , , , , , and 1 other author(s). IPDPS, page 1083-1092. IEEE Computer Society, (2014)