Mikhail Smelyanskiy, Ph.D.
Affiliations: | 2004 | University of Michigan, Ann Arbor, Ann Arbor, MI |
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"Mikhail Smelyanskiy"Parents
Sign in to add mentor| Edward Steinberg Davidson | grad student | 2004 | University of Michigan | |
| (Hardware/software mechanisms for increasing resource utilization on VLIW/EPIC processors.) | ||||
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Publications
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| Park J, Smelyanskiy M, Vaidyanathan K, et al. (2016) Optimizations in a high-performance conjugate gradient benchmark for IA-based multi- and many-core processors International Journal of High Performance Computing Applications. 30: 11-27 |
| Van Zee FG, Smith TM, Marker B, et al. (2016) The BLIS framework: Experiments in portability Acm Transactions On Mathematical Software. 42 |
| Economon TD, Mudigere D, Bansal G, et al. (2016) Performance optimizations for scalable implicit RANS calculations with SU2 Computers and Fluids. 129: 146-158 |
| Chow E, Liu X, Smelyanskiy M, et al. (2015) Parallel scalability of Hartree-Fock calculations. The Journal of Chemical Physics. 142: 104103 |
| Satish N, Kim C, Chhugani J, et al. (2015) Can traditional programming bridge the Ninja performance gap for parallel computing applications? Communications of the Acm. 58: 77-86 |
| Mudigere D, Sridharan S, Deshpande A, et al. (2015) Exploring Shared-Memory Optimizations for an Unstructured Mesh CFD Application on Modern Parallel Systems Proceedings - 2015 Ieee 29th International Parallel and Distributed Processing Symposium, Ipdps 2015. 723-732 |
| Park J, Smelyanskiy M, Vaidyanathan K, et al. (2014) Efficient Shared-Memory Implementation of High-Performance Conjugate Gradient Benchmark and its Application to Unstructured Matrices International Conference For High Performance Computing, Networking, Storage and Analysis, Sc. 2015: 945-955 |
| Park J, Smelyanskiy M, Sundaram N, et al. (2014) Sparsifying synchronization for high-performance shared-memory sparse triangular solver Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8488: 124-140 |
| Park J, Tang PTP, Smelyanskiy M, et al. (2013) Efficient backprojection-based synthetic aperture radar computation with many-core processors Scientific Programming. 21: 165-179 |
| Liu X, Smelyanskiy M, Chow E, et al. (2013) Efficient sparse matrix-vector multiplication on x86-based many-core processors Proceedings of the International Conference On Supercomputing. 273-282 |