1. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 Advancements of PAPI for the exascale generation
2. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 Numerical eigen-spectrum slicing, accurate orthogonal eigen-basis, and mixed-precision eigenvalue re..
3. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 MAGMA: Enabling exascale performance with accelerated BLAS and LAPACK for diverse GPU architectures
4. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 The Evolution of Mathematical Software
5. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 Portable and Efficient Dense Linear Algebra in the Beginning of the Exascale Era
6. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 Addressing Irregular Patterns of Matrix Computations on GPUs and Their Impact on Applications Powere..
7. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 Performance Analysis of Parallel FFT on Large Multi-GPU Systems
8. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 Batch QR Factorization on GPUs: Design, Optimization, and Tuning
9. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 Efficient exascale discretizations: High-order finite element methods
10. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 A survey of numerical linear algebra methods utilizing mixed-precision arithmetic
11. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 A Set of Batched Basic Linear Algebra Subprograms and LAPACK Routines
12. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 Translational process: Mathematical software perspective
13. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 Mixed-precision iterative refinement using tensor cores on GPUs to accelerate solution of linear sys..
14. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 Matrix multiplication on batches of small matrices in half and half-complex precisions
15. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 Reducing the amount of out-of-core data access for GPU-accelerated randomized SVD
16. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 Numerical algorithms for high-performance computational science
17. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 heFFTe: Highly Efficient FFT for Exascale
18. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 High-Order Finite Element Method using Standard and Device-Level Batch GEMM on GPUs
19. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Co..
20. Jack,Dongarra 美国 University of Tennessee 2021图灵奖;2023美国科学院院士 Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse and Batched Computations