A framework for dense triangular matrix kernels on various manycore architectures-Reference-Cited by-同舟云学术

A framework for dense triangular matrix kernels on various manycore architectures

Author:

Charara Ali¹,Keyes David¹,Ltaief Hatem¹^ORCID

Affiliation:

1. Extreme Computing Research Center; King Abdullah University of Science and Technology; Thuwal Jeddah 23955 Saudi Arabia

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference25 articles.

1. Intel MKL Library http://software.intel.com/en-us/articles/intel-mkl

2. Engineering and Scientific Subroutine Library (ESSL) and Parallel ESSL http://www-03.ibm.com/systems/power/software/essl/

3. The NVIDIA CUDA Basic Linear Algebra Subroutines (CUBLAS) http://developer.nvidia.com/cublas

4. OpenBLAS http://www.openblas.net

5. BLIS: a framework for rapidly instantiating BLAS functionality;Van Zee;ACM Trans Math Softw,June 2015

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. A Split Execution Model for SpTRSV;IEEE Transactions on Parallel and Distributed Systems;2021-11-01

5. Efficient Block Algorithms for Parallel Sparse Triangular Solve;49th International Conference on Parallel Processing - ICPP;2020-08-17