1 Mixed-precision iterative refinement using tensor cores on GPUs to accelerate solution of linear sys..
来源:P ROY SOC A-MATH PHY( P 1364-5021 E 1471-2946 ) 发表时间: 2020/11
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2 Investigating power capping toward energy-efficient scientific applications
来源:CONCURR COMP-PRACT E( P 1532-0626 E 1532-0634 ) 发表时间: 2019/03
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3 Batched matrix computations on hardware accelerators based on GPUs
来源:INT J HIGH PERFORM C( P 1094-3420 E 1741-2846 ) 发表时间: 2015/01
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4 toward a high performance tile divide and conquer algorithm for the dense symmetric eigenvalue probl..
来源:SIAM J SCI COMPUT( P 1064-8275 E 1095-7197 ) 发表时间: 2012/01
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5 Sparse Approximations of the Schur Complement for Parallel Algebraic Hybrid Solvers in 3D
来源:NUMER MATH-THEORY ME( P 1004-8979 E 2079-7338 ) 发表时间: 2010/08
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6 Towards Batched Linear Solvers on Accelerated Hardware Platforms
来源:ACM SIGPLAN NOTICES( P 0362-1340 E 1558-1160 ) 发表时间: 2015/08
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7 A Guide for Achieving High Performance with Very Small Matrices on GPU: A Case Study of Batched LU a..
来源:IEEE T PARALL DISTR( P 1045-9219 E 1558-2183 ) 发表时间: 2018/05
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8 A novel hybrid CPU-GPU generalized eigensolver for electronic structure calculations based on fine-g..
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9 Three-dimensional parallel frequency-domain visco-acoustic wave modelling based on a hybrid direct/i..
来源:GEOPHYS PROSPECT( P 0016-8025 E 1365-2478 ) 发表时间: 2011/09
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10 Analysis of dynamically scheduled tile algorithms for dense linear algebra on multicore architecture..
来源:CONCURR COMP-PRACT E( P 1532-0626 E 1532-0634 ) 发表时间: 2012/03
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