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Benchmarks of MATRIX Blockset for REX System

机译:REX系统的MATRIX块集基准

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This paper presents performance benchmarks of several high-level LAPACK subroutines converted to C language in the author’s previous work. The tested algorithms cover singular value decomposition (DGESDD), eigenvalues (DGEES, DGEEV) and Sylvester equation (DTR-SYL modified for general matrices). Benchmarks compare: original LAPACK functions compiled by GFortran, C language versions compiled by GCC and by Visual Studio 2015 (VS2015) and C language versions embedded to REX function blocks compiled by VS2015 for Windows and by GCC for Raspbian. All tests are provided on the PC with Windows and on the Raspberry Pi 3 Model B+,The computation speed on Raspberry Pi is similar in all cases but on PC the speed for matrices of orders 250 and higher is up to 1.5 times faster compared to the speed of original code compiled by GFortran.
机译:本文介绍了笔者以前的工作中转换为C语言的几个高级LAPACK子例程的性能基准。经过测试的算法涵盖奇异值分解(DGESDD),特征值(DGEES,DGEEV)和Sylvester方程(为一般矩阵修改的DTR-SYL)。基准进行比较:由GFortran编译的原始LAPACK函数,由GCC和Visual Studio 2015(VS2015)编译的C语言版本,以及由VS2015(对于Windows)和GCC(对于Raspbian)编译的嵌入REX功能块的C语言版本。所有测试均在装有Windows的PC和Raspberry Pi 3 Model B +上提供。在所有情况下,Raspberry Pi的计算速度都是相似的,但是在PC上,250级及更高级别的矩阵的速度比Windows 2000快1.5倍。 GFortran编译原始代码的速度。

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