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Performance Optimization and Modeling of Blocked Sparse Kernels.

, , , and . Int. J. High Perform. Comput. Appl., 21 (4): 467-484 (2007)

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Approximate Inverse Preconditioners for Krylov Methods on Heterogeneous Parallel Computers., and . PARCO, volume 25 of Advances in Parallel Computing, page 183-192. IOS Press, (2013)Generalized GEMM Kernels on GPGPUs: Experiments and Applications., , and . PARCO, volume 19 of Advances in Parallel Computing, page 307-314. IOS Press, (2009)Design Patterns for Scientific Computations on Sparse Matrices., , , and . Euro-Par Workshops (1), volume 7155 of Lecture Notes in Computer Science, page 367-376. Springer, (2011)Object-Oriented Techniques for Sparse Matrix Computations in Fortran 2003., and . ACM Trans. Math. Softw., 38 (4): 23:1-23:20 (2012)SIMPL: A Pattern Language for Writing Efficient Kernels on GPGPU., , and . SE4HPCS@ICSE, page 38-45. IEEE Computer Society, (2015)Extracting UML class diagrams from object-oriented Fortran: ForUML., , and . SE-HPCCSE@SC, page 9-16. ACM, (2013)Why diffusion-based preconditioning of Richards equation works: Spectral analysis and computational experiments at very large scale., , , and . Numer. Linear Algebra Appl., (January 2024)AMG Preconditioners for Linear Solvers towards Extreme Scale., , and . SIAM J. Sci. Comput., 43 (5): S679-S703 (2021)SParC-LES: Enabling large eddy simulations with parallel sparse matrix computation tools., , , , and . Comput. Math. Appl., 70 (11): 2688-2700 (2015)A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures., , , , , , , , , and 16 other author(s). CoRR, (2023)