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ORCIDThe Art of High Performance Computing for Computational Science, Vol. 1, 2019
- Masaaki Geshi:
The Art of High Performance Computing for Computational Science, Vol. 1, Techniques of Speedup and Parallelization for General Purposes. Springer 2019, ISBN 978-981-13-6193-7 - Takahiro Katagiri:
High-Performance Computing Basics. 1-25 - Takahiro Katagiri:
Basics of MPI Programming. 27-44 - Takahiro Katagiri:
Basics of OpenMP Programming. 45-59 - Takahiro Katagiri:
Hybrid Parallelization Techniques. 61-68 - Takahiro Katagiri:
Application of Techniques for High-Performance Computing. 69-81 - Maho Nakata:
Basics and Practice of Linear Algebra Calculation Library BLAS and LAPACK. 83-112 - Yusaku Yamamoto:
High-Performance Algorithms for Numerical Linear Algebra. 113-136 - Daisuke Takahashi
:
Fast Fourier Transform in Large-Scale Systems. 137-168 - Hiroshi Watanabe:
Optimization and Related Topics. 169-189 - Shin'ichi Oishi, Yusuke Morikura, Kouta Sekine, Hisayasu Kuroda, Maho Nakata:
Techniques Concerning Computation Accuracy. 191-213
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