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Auto-tuning of level 1 and level 2 BLAS for GPUs

  • Published:2012-09-25 Issue:8 Volume:25 Page:1183-1198
  • ISSN:1532-0626
  • Container-title:Concurrency and Computation: Practice and Experience
  • language:en
  • Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Sørensen Hans Henrik Brandenborg1

Affiliation:

1. Informatics and Mathematical Modelling; Technical University of Denmark; Bldg. 321; DK-2800; Lyngby; Denmark

Publisher

Wiley

Subject

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

Reference22 articles.

1. NVIDIA Corp CUDA toolkit version 3.2 2010

2. Khronos Group OpenCL specification 1.1 2010

3. A set of level 3 basic linear algebra subprograms;Dongarra;ACM Transactions on Mathematical Software,1990

4. LAPACK Users' Guide

5. Tomov S Nath R Du P Dongarra J MAGMA v0.2 users’ guide 2009

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1. Analysis and Entropy Stability of the Line-Based Discontinuous Galerkin Method;Journal of Scientific Computing;2019-03-20

2. Efficient dense matrix-vector multiplication on GPU;Concurrency and Computation: Practice and Experience;2018-05-29

3. Efficient implementation of Jacobi iterative method for large sparse linear systems on graphic processing units;The Journal of Supercomputing;2016-03-24

4. Graphics processing unit computing and exploitation of hardware accelerators;Concurrency and Computation: Practice and Experience;2013-01-02

5. A Fast Dense Triangular Solve in CUDA;SIAM Journal on Scientific Computing;2013-01
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