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Akihiro Ida
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2020 – today
- 2024
- [c18]Masatoshi Kawai
, Akihiro Ida
, Toshihiro Hanawa
, Tetsuya Hoshino
:
Optimize Efficiency of Utilizing Systems by Dynamic Core Binding. HPC Asia Workshops 2024: 77-82 - 2023
- [c17]Masatoshi Kawai, Akihiro Ida, Toshihiro Hanawa, Kengo Nakajima:
Dynamic Core Binding for Load Balancing of Applications Parallelized with MPI/OpenMP. ICCS (3) 2023: 378-394 - 2022
- [j7]Akihiro Ida:
Solving Block Low-Rank Matrix Eigenvalue Problems. J. Inf. Process. 30: 538-551 (2022) - [j6]Zhengyang Bai
, Tasuku Hiraishi, Akihiro Ida, Masahiro Yasugi:
Parallelization of Matrix Partitioning in Hierarchical Matrix Construction on Distributed Memory Systems. J. Inf. Process. 30: 742-754 (2022) - [c16]Tetsuya Hoshino, Akihiro Ida, Toshihiro Hanawa:
Optimizations of H-matrix-vector Multiplication for Modern Multi-core Processors. CLUSTER 2022: 462-472 - [c15]Zhengyang Bai
, Tasuku Hiraishi, Akihiro Ida, Masahiro Yasugi, Keiichiro Fukazawa:
Construction of Hierarchical Matrix on Distributed Memory Systems using a Task Parallel Language. CANDARW 2022: 48-54 - [c14]Satoshi Ohshima, Akihiro Ida, Rio Yokota, Ichitaro Yamazaki:
QR Factorization of Block Low-Rank Matrices on Multi-instance GPU. PDCAT 2022: 359-369 - 2020
- [c13]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 - [c12]Masatoshi Kawai, Akihiro Ida, Hiroya Matsuba, Kengo Nakajima, Matthias Bolten
:
Multiplicative Schwartz-Type Block Multi-Color Gauss-Seidel Smoother for Algebraic Multigrid Methods. HPC Asia 2020: 217-226
2010 – 2019
- 2019
- [j5]Ichitaro Yamazaki
, Akihiro Ida, Rio Yokota
, Jack J. Dongarra:
Distributed-memory lattice H-matrix factorization. Int. J. High Perform. Comput. Appl. 33(5) (2019) - [j4]Akihiro Ida, Hiroshi Nakashima, Tasuku Hiraishi, Ichitaro Yamazaki, Rio Yokota, Takeshi Iwashita:
QR Factorization of Block Low-rank Matrices with Weak Admissibility Condition. J. Inf. Process. 27: 831-839 (2019) - [j3]Zhengyang Bai
, Tasuku Hiraishi, Hiroshi Nakashima, Akihiro Ida, Masahiro Yasugi:
Parallelization of Matrix Partitioning in Construction of Hierarchical Matrices using Task Parallel Languages. J. Inf. Process. 27: 840-851 (2019) - [c11]Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota:
Optimization of Numerous Small Dense-Matrix-Vector Multiplications in H-Matrix Arithmetic on GPU. MCSoC 2019: 9-16 - [c10]Yu Pei, George Bosilca, Ichitaro Yamazaki, Akihiro Ida, Jack J. Dongarra:
Evaluation of Programming Models to Address Load Imbalance on Distributed Multi-Core CPUs: A Case Study with Block Low-Rank Factorization. PAW-ATM@SC 2019: 25-36 - [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
- [c9]Tetsuya Hoshino, Akihiro Ida, Toshihiro Hanawa, Kengo Nakajima:
Load-Balancing-Aware Parallel Algorithms of H-Matrices with Adaptive Cross Approximation for GPUs. CLUSTER 2018: 35-45 - [c8]Akihiro Ida, Hiroshi Nakashima, Masatoshi Kawai:
Parallel Hierarchical Matrices with Block Low-rank Representation on Distributed Memory Computer Systems. HPC Asia 2018: 232-240 - [c7]Tetsuya Hoshino, Akihiro Ida, Toshihiro Hanawa
, Kengo Nakajima:
Design of Parallel BEM Analyses Framework for SIMD Processors. ICCS (1) 2018: 601-613 - [c6]Akihiro Ida:
Lattice H-Matrices on Distributed-Memory Systems. IPDPS 2018: 389-398 - [c5]Ichitaro Yamazaki, Ahmad Abdelfattah, Akihiro Ida, Satoshi Ohshima, Stanimire Tomov
, Rio Yokota, Jack J. Dongarra:
Performance of Hierarchical-matrix BiCGStab Solver on GPU Clusters. IPDPS 2018: 930-939 - [c4]Satoshi Ohshima, Ichitaro Yamazaki, Akihiro Ida, Rio Yokota:
Optimization of Hierarchical Matrix Computation on GPU. SCFA 2018: 274-292 - 2017
- [c3]Masatoshi Kawai, Akihiro Ida, Kengo Nakajima:
Hierarchical Parallelization of Multi-coloring Algorithms for Block IC Preconditioners. HPCC/SmartCity/DSS 2017: 138-145 - [c2]Takeshi Iwashita, Akihiro Ida, Takeshi Mifune, Yasuhito Takahashi:
Software Framework for Parallel BEM Analyses with H-matrices Using MPI and OpenMP. ICCS 2017: 2200-2209 - 2015
- [j2]Akihiro Ida, Takeshi Iwashita, Makiko Ohtani
, Kazuro Hirahara:
Improvement of Hierarchical Matrices with Adaptive Cross Approximation for Large-scale Simulation. J. Inf. Process. 23(3): 366-372 (2015) - [c1]Takeshi Iwashita, Naokazu Takemura, Akihiro Ida, Hiroshi Nakashima:
A New Fill-in Strategy for IC Factorization Preconditioning Considering SIMD Instructions. TrustCom/BigDataSE/ISPA (3) 2015: 37-44 - 2014
- [j1]Akihiro Ida, Takeshi Iwashita, Takeshi Mifune, Yasuhito Takahashi:
Parallel Hierarchical Matrices with Adaptive Cross Approximation on Symmetric Multiprocessing Clusters. J. Inf. Process. 22(4): 642-650 (2014)
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last updated on 2024-08-05 20:25 CEST by the dblp team
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