Optimized Computation for Determinant of Multivariate Polynomial Matrices on GPGPU-Reference-Cited by-同舟云学术

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Optimized Computation for Determinant of Multivariate Polynomial Matrices on GPGPU

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
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Author:

Chen Liangyu¹,Wei Jianjun²,Zeng Zhenbing³,Zhang Min¹

Affiliation:

1. East China Normal University,Shanghai Key Lab of Trustworthy Computing,Shanghai,China

2. Washington University in St. Louis,Department of Computer Science and Engineering,St Louis,USA

3. Shanghai University,Department of Mathematics,Shanghai,China

Funder

NSFC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10074610/10074618/10074822.pdf?arnumber=10074822

Reference24 articles.

1. Optimizing matrix transpose in CUDA;ruetsch;Nvidia CUDA SDK Application Note,2010

2. Improved algorithms for computing determinants and resultants

3. In-place transposition of rectangular matrices on accelerators

4. Fast, deterministic computation of the Hermite normal form and determinant of a polynomial matrix

5. Computing resultants on Graphics Processing Units: Towards GPU-accelerated computer algebra

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