Cargando…
BSMBench: a flexible and scalable supercomputer benchmark from computational particle physics
Benchmarking plays a central role in the evaluation of High Performance Computing architectures. Several benchmarks have been designed that allow users to stress various components of supercomputers. In order for the figures they provide to be useful, benchmarks need to be representative of the most...
Autores principales: | , , , , , , |
---|---|
Lenguaje: | eng |
Publicado: |
2014
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1109/HPCSim.2016.7568421 http://cds.cern.ch/record/1643202 |
_version_ | 1780934987607965696 |
---|---|
author | Bennett, Ed Lucini, Biagio Del Debbio, Luigi Jordan, Kirk Patella, Agostino Pica, Claudio Rago, Antonio |
author_facet | Bennett, Ed Lucini, Biagio Del Debbio, Luigi Jordan, Kirk Patella, Agostino Pica, Claudio Rago, Antonio |
author_sort | Bennett, Ed |
collection | CERN |
description | Benchmarking plays a central role in the evaluation of High Performance Computing architectures. Several benchmarks have been designed that allow users to stress various components of supercomputers. In order for the figures they provide to be useful, benchmarks need to be representative of the most common real-world scenarios. In this work, we introduce BSMBench, a benchmarking suite derived from Monte Carlo code used in computational particle physics. The advantage of this suite (which can be freely downloaded from http://www.bsmbench.org/) over others is the capacity to vary the relative importance of computation and communication. This enables the tests to simulate various practical situations. To showcase BSMBench, we perform a wide range of tests on various architectures, from desktop computers to state-of-the-art supercomputers, and discuss the corresponding results. Possible future directions of development of the benchmark are also outlined. |
id | cern-1643202 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
record_format | invenio |
spelling | cern-16432022023-03-21T05:07:34Zdoi:10.1109/HPCSim.2016.7568421http://cds.cern.ch/record/1643202engBennett, EdLucini, BiagioDel Debbio, LuigiJordan, KirkPatella, AgostinoPica, ClaudioRago, AntonioBSMBench: a flexible and scalable supercomputer benchmark from computational particle physicsComputing and ComputersBenchmarking plays a central role in the evaluation of High Performance Computing architectures. Several benchmarks have been designed that allow users to stress various components of supercomputers. In order for the figures they provide to be useful, benchmarks need to be representative of the most common real-world scenarios. In this work, we introduce BSMBench, a benchmarking suite derived from Monte Carlo code used in computational particle physics. The advantage of this suite (which can be freely downloaded from http://www.bsmbench.org/) over others is the capacity to vary the relative importance of computation and communication. This enables the tests to simulate various practical situations. To showcase BSMBench, we perform a wide range of tests on various architectures, from desktop computers to state-of-the-art supercomputers, and discuss the corresponding results. Possible future directions of development of the benchmark are also outlined.Lattice Quantum ChromoDynamics (QCD), and by extension its parent field, Lattice Gauge Theory (LGT), make up a significant fraction of supercomputing cycles worldwide. As such, it would be irresponsible not to evaluate machines' suitability for such applications. To this end, a benchmark has been developed to assess the performance of LGT applications on modern HPC platforms. Distinct from previous QCD-based benchmarks, this allows probing the behaviour of a variety of theories, which allows varying the ratio of demands between on-node computations and inter-node communications. The results of testing this benchmark on various recent HPC platforms are presented, and directions for future development are discussed.arXiv:1401.3733CP3-ORIGINS-2014-001DIAS-2014-1CP3-ORIGINS-2014-001DNRF90DIAS-2014-1oai:cds.cern.ch:16432022014-01-15 |
spellingShingle | Computing and Computers Bennett, Ed Lucini, Biagio Del Debbio, Luigi Jordan, Kirk Patella, Agostino Pica, Claudio Rago, Antonio BSMBench: a flexible and scalable supercomputer benchmark from computational particle physics |
title | BSMBench: a flexible and scalable supercomputer benchmark from computational particle physics |
title_full | BSMBench: a flexible and scalable supercomputer benchmark from computational particle physics |
title_fullStr | BSMBench: a flexible and scalable supercomputer benchmark from computational particle physics |
title_full_unstemmed | BSMBench: a flexible and scalable supercomputer benchmark from computational particle physics |
title_short | BSMBench: a flexible and scalable supercomputer benchmark from computational particle physics |
title_sort | bsmbench: a flexible and scalable supercomputer benchmark from computational particle physics |
topic | Computing and Computers |
url | https://dx.doi.org/10.1109/HPCSim.2016.7568421 http://cds.cern.ch/record/1643202 |
work_keys_str_mv | AT bennetted bsmbenchaflexibleandscalablesupercomputerbenchmarkfromcomputationalparticlephysics AT lucinibiagio bsmbenchaflexibleandscalablesupercomputerbenchmarkfromcomputationalparticlephysics AT deldebbioluigi bsmbenchaflexibleandscalablesupercomputerbenchmarkfromcomputationalparticlephysics AT jordankirk bsmbenchaflexibleandscalablesupercomputerbenchmarkfromcomputationalparticlephysics AT patellaagostino bsmbenchaflexibleandscalablesupercomputerbenchmarkfromcomputationalparticlephysics AT picaclaudio bsmbenchaflexibleandscalablesupercomputerbenchmarkfromcomputationalparticlephysics AT ragoantonio bsmbenchaflexibleandscalablesupercomputerbenchmarkfromcomputationalparticlephysics |