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Performance assessment of parallel techniques
| Content Provider | Semantic Scholar |
|---|---|
| Author | Grytsenko, T. V. Peratta, Andrés |
| Copyright Year | 2007 |
| Abstract | The goal of this work is to evaluate and compare the computational performance of the most common parallel libraries such as Message Passing Interface (MPI), High Performance Fortran (HPF), OpenMP and DVM for further implementations. Evaluation is based on NAS Parallel benchmark suite (NPB) which includes simulated applications BT, SP, LU and kernel benchmarks FT, CG and MG. A brief introduction of the four parallel techniques under study: MPI, HPF, OpenMP and DVM, as well as their models is provided together with benchmarks used and the test results. Finally, corresponding recommendations are given for the different approaches depending on the number of processors. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.witpress.com/Secure/elibrary/papers/DATA07/DATA07009FU1.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Assembly language Benchmark (computing) CPU cache Central processing unit Cg (programming language) Computation Doctor of Veterinary Medicine High Performance Fortran High- and low-level High-level programming language Libraries Low-level programming language MPI gene Message Passing Interface OpenMP Parallel computing Programming Languages Run time (program lifecycle phase) Speedup |
| Content Type | Text |
| Resource Type | Article |
