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QR Factorization of Block Low-Rank Matrices on Multi-instance GPU.

, , , and . PDCAT, volume 13798 of Lecture Notes in Computer Science, page 359-369. Springer, (2022)

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Distributed-memory lattice H-matrix factorization., , , and . Int. J. High Perform. Comput. Appl., (2019)Optimization of Hierarchical Matrix Computation on GPU., , , and . SCFA, volume 10776 of Lecture Notes in Computer Science, page 274-292. Springer, (2018)Design of Parallel BEM Analyses Framework for SIMD Processors., , , and . ICCS (1), volume 10860 of Lecture Notes in Computer Science, page 601-613. Springer, (2018)QR Factorization of Block Low-Rank Matrices on Multi-instance GPU., , , and . PDCAT, volume 13798 of Lecture Notes in Computer Science, page 359-369. Springer, (2022)QR Factorization of Block Low-rank Matrices with Weak Admissibility Condition., , , , , and . J. Inf. Process., (2019)Evaluation of Programming Models to Address Load Imbalance on Distributed Multi-Core CPUs: A Case Study with Block Low-Rank Factorization., , , , and . PAW-ATM@SC, page 25-36. IEEE, (2019)Optimization of Numerous Small Dense-Matrix-Vector Multiplications in H-Matrix Arithmetic on GPU., , , and . MCSoC, page 9-16. IEEE, (2019)Performance of Hierarchical-matrix BiCGStab Solver on GPU Clusters., , , , , , and . IPDPS, page 930-939. IEEE Computer Society, (2018)Multiplicative Schwartz-Type Block Multi-Color Gauss-Seidel Smoother for Algebraic Multigrid Methods., , , , and . HPC Asia, page 217-226. ACM, (2020)Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis., , , , and . HPC Asia, page 92-101. ACM, (2020)