DocumentCode :
2422811
Title :
Some Comparative Benchmarks for Linear Algebra Computations in Matlab and Scientific Python
Author :
Unpingco, José
Author_Institution :
Ohio Supercomput. Center, Columbus, OH
fYear :
2008
fDate :
14-17 July 2008
Firstpage :
503
Lastpage :
505
Abstract :
Freely available software and algorithms for numerical computation have been around for at least 20 years. Recently, many of these packages have been consolidated into a python-based scientific computing environment similar to Matlab. In this paper, we compare and discuss benchmarks of common linear algebra matrix computations using Matlab and scientific python (SciPy). The benchmarks presented here are from the user-standpoint without exotic programming in either Matlab or python.
Keywords :
mathematics computing; matrix algebra; Matlab; comparative benchmarks; linear algebra computations; scientific python; Libraries; Linear algebra; MATLAB; Matrices; Matrix decomposition; Packaging; Scientific computing; Software algorithms; Supercomputers; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
DoD HPCMP Users Group Conference, 2008. DOD HPCMP UGC
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-3323-0
Type :
conf
DOI :
10.1109/DoD.HPCMP.UGC.2008.49
Filename :
4755916
Link To Document :
بازگشت