6 citations · 18 across the 5 of their papers we have counts for
5 papers
Convergence Acceleration of Preconditioned CG Solver Based on Error Vector Sampling for a Sequence of Linear Systems
Takeshi Iwashita, Kota Ikehara, Takeshi Fukaya +1
In this paper, we focus on solving a sequence of linear systems with an identical (or similar) coefficient matrix. For this type of problems, we investigate the subspace correction…
Accelerating the SpMV kernel on standard CPUs by exploiting the partially diagonal structures
Takeshi Fukaya, Koki Ishida, Akie Miura +2
Sparse Matrix Vector multiplication (SpMV) is one of basic building blocks in scientific computing, and acceleration of SpMV has been continuously required. In this research, we ai…
An Integer Arithmetic-Based Sparse Linear Solver Using a GMRES Method and Iterative Refinement
Takeshi Iwashita, Kengo Suzuki, Takeshi Fukaya
In this paper, we develop a (preconditioned) GMRES solver based on integer arithmetic, and introduce an iterative refinement framework for the solver. We describe the data format f…
Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis
Rise Ooi, Takeshi Iwashita, Takeshi Fukaya +2
Hierarchical Matrix (H-matrix) is an approximation technique which splits a target dense matrix into multiple submatrices, and where a selected portion of submatrices are low-rank…
Hierarchical Block Multi-Color Ordering: A New Parallel Ordering Method for Vectorization and Parallelization of the Sparse Triangular Solver in the ICCG Method
Takeshi Iwashita, Senxi Li, Takeshi Fukaya
In this paper, we propose a new parallel ordering method to vectorize and parallelize the sparse triangular solver, which is called hierarchical block multi-color ordering. In this…