Methods and measurements for evaluating HPC systems
In this thesis, I present a methodology to evaluate High-Performance Computing systems. The method relies on measurements at three levels: architectural features through micro-benchmarks; system software and tools through benchmarks and analysis of the code generated by the compiler; and sustained p...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/336024 |
| Acceso en línea: | https://hdl.handle.net/2117/336024 |
| Access Level: | acceso abierto |
| Palabra clave: | High performance computing Supercomputers High-Performance Computing Performance Evaluation Roofline Model Parallel Efficiency Arm Intel Power9 Càlcul intensiu (Informàtica) Supercomputadors Àrees temàtiques de la UPC::Informàtica |
| Sumario: | In this thesis, I present a methodology to evaluate High-Performance Computing systems. The method relies on measurements at three levels: architectural features through micro-benchmarks; system software and tools through benchmarks and analysis of the code generated by the compiler; and sustained performance though scientific applications. I apply the method to three state-of-the-art High-Performance Computing clusters deployed at the Barcelona Supercomputing Center. |
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