Hidehiko Hasegawa - researchr alias

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Viewing Publication 1 - 13 from 13

2020

Predicting the convergence of BiCG method from grayscale matrix imagesRyo Ota, Hidehiko Hasegawa. jsiaml, 12:45-48, 2020. [doi]

2019

Acceleration of Interactive Multiple Precision Arithmetic Toolbox MuPAT Using FMA, SIMD, and OpenMPHotaka Yagi, Emiko Ishiwata, Hidehiko Hasegawa. parco 2020: 431-440 [doi]

2016

SIMD Parallel Sparse Matrix-Vector and Transposed-Matrix-Vector Multiplication in DD PrecisionToshiaki Hishinuma, Hidehiko Hasegawa, Teruo Tanaka. vecpar 2017: 21-34 [doi]

2013

2012

Analysis of the GCR method with mixed precision arithmetic using QuPATTsubasa Saito, Emiko Ishiwata, Hidehiko Hasegawa. jocs, 3(3):87-91, 2012. [doi]

2010

Toward Automatic Performance Tuning for Numerical Simulations in the SILC Matrix Computation FrameworkTamito Kajiyama, Akira Nukada, Reiji Suda, Hidehiko Hasegawa, Akira Nishida. In Ken Naono, Keita Teranishi, John Cavazos, Reiji Suda, editors, Software Automatic Tuning, From Concepts to State-of-the-Art Results. pages 175-192, Springer, 2010. [doi]

Development of Quadruple Precision Arithmetic Toolbox QuPAT on ScilabTsubasa Saito, Emiko Ishiwata, Hidehiko Hasegawa. iccsa 2010: 60-70 [doi]

2007

Cloth Simulation in the SILC Matrix Computation Framework: A Case StudyTamito Kajiyama, Akira Nukada, Reiji Suda, Hidehiko Hasegawa, Akira Nishida. ppam 2008: 1086-1095 [doi]

2006

Distributed SILC: An Easy-to-Use Interface for MPI-Based Parallel Matrix Computation LibrariesTamito Kajiyama, Akira Nukada, Reiji Suda, Hidehiko Hasegawa, Akira Nishida. para 2007: 860-870 [doi]

2005

SILC: A Flexible and Environment-Independent Interface for Matrix Computation LibrariesTamito Kajiyama, Akira Nukada, Hidehiko Hasegawa, Reiji Suda, Akira Nishida. ppam 2006: 928-935 [doi]

Performance Evaluation of Parallel Sparse Matrix-Vector Products on SGI Altix3700Hisashi Kotakemori, Hidehiko Hasegawa, Tamito Kajiyama, Akira Nukada, Reiji Suda, Akira Nishida. iwomp 2008: 153-163 [doi]

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