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ORCIDTakeshi Iwashita
- > Home > Persons > Takeshi Iwashita
Publications
- 2025
[j21]Hirotoshi Tamori, Takeshi Fukaya, Takeshi Iwashita:
Performance Evaluation of the Parallel ES-SC-ILU-BiCGSTAB Method. J. Inf. Process. 33: 387-397 (2025)- [j20]Yuya Kudo, Yuki Satake
, Takeshi Fukaya, Takeshi Iwashita:
Condition Number Estimation in a Solution Process of a Large Sparse Symmetric Linear System. J. Inf. Process. 33: 398-409 (2025) - [j19]Kengo Suzuki, Takeshi Fukaya, Takeshi Iwashita:
An Integer Arithmetic-Based AMG Preconditioned FGMRES Solver. ACM Trans. Math. Softw. 51(1): 1:1-1:25 (2025) - 2023
- [j18]Kengo Suzuki, Takeshi Fukaya, Takeshi Iwashita:
A novel ILU preconditioning method with a block structure suitable for SIMD vectorization. J. Comput. Appl. Math. 419: 114687 (2023) - [j17]Yingqi Zhao, Takeshi Fukaya, Takeshi Iwashita:
Numerical Behavior of Mixed Precision Iterative Refinement Using the BiCGSTAB Method. J. Inf. Process. 31: 860-874 (2023) - [j16]Hirotoshi Tamori, Takeshi Fukaya, Takeshi Iwashita:
Subspace Correction Preconditioning for Solving a Sequence of Asymmetric Linear Systems Using the Bi-CGSTAB Method. J. Inf. Process. 31: 875-884 (2023) - [j15]Takeshi Iwashita, Kota Ikehara, Takeshi Fukaya, Takeshi Mifune:
Convergence acceleration of preconditioned conjugate gradient solver based on error vector sampling for a sequence of linear systems. Numer. Linear Algebra Appl. 30(6) (2023) - 2022
- [j14]Yingqi Zhao, Takeshi Fukaya, Linjie Zhang, Takeshi Iwashita:
Numerical Investigation into the Mixed Precision GMRES(m) Method Using FP64 and FP32. J. Inf. Process. 30: 525-537 (2022) - [j13]Kengo Suzuki, Takeshi Fukaya, Takeshi Iwashita:
A New AINV Preconditioner for the CG Method in Hybrid CPU-GPU Computing Environment. J. Inf. Process. 30: 755-765 (2022) - [i5]Takeshi Iwashita, Kota Ikehara, Takeshi Fukaya, Takeshi Mifune:
Convergence Acceleration of Preconditioned CG Solver Based on Error Vector Sampling for a Sequence of Linear Systems. CoRR abs/2203.08498 (2022) - 2021
- [i4]Takeshi Fukaya, Koki Ishida, Akie Miura, Takeshi Iwashita, Hiroshi Nakashima:
Accelerating the SpMV kernel on standard CPUs by exploiting the partially diagonal structures. CoRR abs/2105.04937 (2021) - 2020
- [j12]Takeshi Iwashita, Senxi Li, Takeshi Fukaya:
Hierarchical block multi-color ordering: a new parallel ordering method for vectorization and parallelization of the sparse triangular solver in the ICCG method. CCF Trans. High Perform. Comput. 2(2): 84-97 (2020) - [c18]Rise Ooi, Takeshi Iwashita, Takeshi Fukaya, Akihiro Ida, Rio Yokota:
Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis. HPC Asia 2020: 92-101 - [c17]Takeshi Iwashita, Kengo Suzuki, Takeshi Fukaya:
An Integer Arithmetic-Based Sparse Linear Solver Using a GMRES Method and Iterative Refinement. ScalA@SC 2020: 1-8 - [i3]Takeshi Iwashita, Kengo Suzuki, Takeshi Fukaya:
An Integer Arithmetic-Based Sparse Linear Solver Using a GMRES Method and Iterative Refinement. CoRR abs/2009.07495 (2020) - 2019
- [j11]Senxi Li, Takeshi Iwashita, Takeshi Fukaya:
Enhancement of Algebraic Block Multi-Color Ordering for ILU Preconditioning and Its Performance Evaluation in Preconditioned GMRES Solver. J. Inf. Process. 27: 201-210 (2019) - [i2]Takeshi Iwashita, Senxi Li, Takeshi Fukaya:
Hierarchical Block Multi-Color Ordering: A New Parallel Ordering Method for Vectorization and Parallelization of the Sparse Triangular Solver in the ICCG Method. CoRR abs/1908.00741 (2019) - [i1]Rise Ooi, Takeshi Iwashita, Takeshi Fukaya, Akihiro Ida, Rio Yokota:
Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis. CoRR abs/1911.00093 (2019) - 2018
- [c16]Takeshi Fukaya, Takeshi Iwashita:
Time-space tiling with tile-level parallelism for the 3D FDTD method. HPC Asia 2018: 116-126
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