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- |description=Python for Scientific Computing |fields=High performance computing; Python; Scientific computing; Data analysis1 KB (164 words) - 08:12, 28 February 2020
- |description=Task-based parallelism in scientific computing |fields=High performance computing; parallel programming; GPU computing; OpenMP; Task-based parallelism958 bytes (137 words) - 16:22, 28 February 2020
- |description=Task-based parallelism in scientific computing |fields=High performance computing; parallel programming; GPU computing; OpenMP; Task-based parallelism1 KB (216 words) - 17:05, 14 April 2021
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- *Main scientific work in the field of sequence analysis and bioinformatic protein family cha *Keywords : Molecular Dynamics, Gromacs, GPGPU computing5 KB (702 words) - 13:38, 8 July 2011
- |fields=Scientific computing1 KB (209 words) - 16:22, 27 February 2017
- Lunarc is a center for scientific and technical computing for research at Lund University.435 bytes (52 words) - 09:10, 6 November 2013
- |description=the fundamental package needed for scientific computing with Python |fields=Scientific computing440 bytes (50 words) - 13:40, 21 September 2011
- |fields=Scientific computing; Visualisation685 bytes (85 words) - 14:20, 21 September 2011
- |description=statistical computing and visualisation language. |fields=Scientific computing; Visualisation; Programming language608 bytes (71 words) - 14:47, 21 September 2011
- |description=computational software for technical computing |fields=Scientific computing757 bytes (95 words) - 13:39, 27 September 2011
- |fields=Scientific computing1 KB (181 words) - 14:59, 25 August 2016
- |fields=Scientific computing Course webpage: http://www.uppmax.uu.se/applied-cloud-computing-workshop-autumn-2015643 bytes (90 words) - 12:57, 2 September 2015
- |fields=Scientific computing406 bytes (45 words) - 07:32, 4 June 2012
- |fields=Scientific computing1 KB (186 words) - 14:01, 12 January 2017
- |fields=Scientific computing1 KB (200 words) - 09:17, 21 October 2019
- |fields=Scientific computing ...mputing (SNIC) allows researchers to apply for usage of MATLAB Distributed Computing Server (MDCS) on their clusters to speed up massive MATLAB computations at991 bytes (151 words) - 15:19, 11 April 2014
- |fields=Scientific computing ...mputing (SNIC) allows researchers to apply for usage of MATLAB Distributed Computing Server (MDCS) on their clusters to speed up massive MATLAB computations at986 bytes (150 words) - 15:14, 11 April 2014
- |fields=Scientific computing465 bytes (62 words) - 08:29, 14 May 2014
- |fields=Scientific computing939 bytes (137 words) - 08:30, 20 May 2014
- |fields=Scientific computing490 bytes (63 words) - 14:34, 16 September 2014
- |fields=Scientific computing ...mputing (SNIC) allows researchers to apply for usage of MATLAB Distributed Computing Server (MDCS) on their clusters to speed up massive MATLAB computations at1,011 bytes (146 words) - 11:36, 19 September 2014
- |fields=Scientific computing ...mputing (SNIC) allows researchers to apply for usage of MATLAB Distributed Computing Server (MDCS) on their clusters to speed up massive MATLAB computations at1,013 bytes (146 words) - 09:58, 24 September 2014
- |fields=Scientific computing ...C40 architecture and programming environment, and give a basic overview of scientific libraries.2 KB (351 words) - 17:07, 4 December 2014