( en | de | ru )

 

Disambiguation of "Imamura, Toshiyuki"

Author of the publication

copydeleteadd this publication to your clipboard
Performance Analysis of the Householder-Type Parallel Tall-Skinny QR Factorizations Toward Automatic Algorithm Selection.

, , and . VECPAR, volume 8969 of Lecture Notes in Computer Science, page 269-283. Springer, (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Takeshi Imamura

Takeshi Imamura

Toshiyuki Ichiba

Toshiyuki Ishikawa

 

Other publications of authors with the same name

Communication Avoiding Neumann Expansion Preconditioner for LOBPCG Method: Convergence Property of Exact Diagonalization Method for Hubbard Model., , and . PARCO, volume 32 of Advances in Parallel Computing, page 27-36. IOS Press, (2017)Parallel Divide-and-Conquer Algorithm for Solving Tridiagonal Eigenvalue Problems on Manycore Systems., and . PPAM (1), volume 10777 of Lecture Notes in Computer Science, page 623-633. Springer, (2017)Performance Evaluation of a Toolkit for Sparse Tensor Decomposition., and . HPDC (Posters/Doctoral Consortium), page 5-6. ACM, (2018)An energy-efficient FPGA-based matrix multiplier., and . ICECS, page 514-517. IEEE, (2017)An Evaluation Towards Automatically Tuned Eigensolvers., and . LSSC, volume 3743 of Lecture Notes in Computer Science, page 422-429. Springer, (2005)Parallelization design on multi-core platforms in density matrix renormalization group toward 2-D quantum strongly-correlated systems., , and . SC, page 62:1-62:10. ACM, (2011)Prompt Report on Exa-Scale HPL-AI Benchmark., , , and . CLUSTER, page 418-419. IEEE, (2020)High Performance Parallel LOBPCG Method for Large Hamiltonian Derived from Hubbard Model on Multi-GPU Systems., , and . SCFA, volume 13214 of Lecture Notes in Computer Science, page 1-19. Springer, (2022)DGEMM Using Tensor Cores, and Its Accurate and Reproducible Versions., , , and . ISC, volume 12151 of Lecture Notes in Computer Science, page 230-248. Springer, (2020)Infinite-Precision Inner Product and Sparse Matrix-Vector Multiplication Using Ozaki Scheme with Dot2 on Manycore Processors., , , and . PPAM (1), volume 13826 of Lecture Notes in Computer Science, page 40-54. Springer, (2022)