Category:Computational science
Revision as of 14:43, 12 March 2012 by Joel Hedlund (NSC) (talk | contribs)
Empty strings are not accepted. Computational science entails using computers to analyze and solve scientific problems.
Experts
Field | AE FTE | General activities | ||
---|---|---|---|---|
Chandan Basu (NSC) | NSC | Computational science | 100 | Working on climate and weather codes EU projects IS-ENES and PRACE. |
Marcus Lundberg (UPPMAX) | UPPMAX | Computational science Parallel programming Performance tuning Sensitive data | 100 | I help users with productivity, program performance, and parallelisation. I also work with allocations and with sensitive data questions |
Peter Kjellström (NSC) | NSC | Computational science | 100 | All types of HPC Support. |
Peter Münger (NSC) | NSC | Computational science | 60 | Installation and support of MATLAB, Comsol, and Julia. |
Wei Zhang (NSC) | NSC | Computational science Parallel programming Performance optimisation | code optimization, parallelization. | |
Åke Sandgren (HPC2N) | HPC2N | Computational science | 50 | SGUSI |
Software
Software | License | Description |
---|---|---|
FFTW | Free | Freely available high performance library to perform fast Fourier transformations |
Scalasca | Free | Performance profiler for parallel applications |
TAU | Free | profiling and tracing tool-kit for performance analysis of parallel programs |
Subcategories
This category has the following 6 subcategories, out of 6 total.
Pages in category "Computational science"
The following 32 pages are in this category, out of 32 total.
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- Parallel I/O Implementation on the Multiple Sequence Alignment Software ClustalW-MPI
- Parallel Programming Education
- Parallelization of a materials science code
- Performance Analysis of ad OSS Program
- Performance Benchmark of NEMO Oceanography Code
- Petascaling enabling and support for EC-EARTH3
- User:Peter Kjellström (NSC)
- User:Peter Münger (NSC)
- Portability performance analysis and improvement of ESM
- PRACE WP12: Network topology analysis and efficient collective design