Mainstream vs. emerging HPC: metrics, trade-offs and lessons learned
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hdl:2117/332756
Document typeConference report
Defense date2018
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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ProjectCOMPUTACION DE ALTAS PRESTACIONES VII (MINECO-TIN2015-65316-P)
ExaQUte - EXAscale Quantification of Uncertainties for Technology and Science Simulation (EC-H2020-800898)
ExaQUte - EXAscale Quantification of Uncertainties for Technology and Science Simulation (EC-H2020-800898)
Abstract
Various servers with different characteristics and architectures are hitting the market, and their evaluation and comparison in terms of HPC features is complex and multidimensional. In this paper, we share our experience of evaluating a diverse set of HPC systems, consisting of three mainstream and five emerging architectures. We evaluate the performance and power efficiency using prominent HPC benchmarks, High-Performance Linpack (HPL) and High Performance Conjugate Gradients (HPCG), and expand our analysis using publicly available specialized kernel benchmarks, targeting specific system components. In addition to a large body of quantitative results, we emphasize six usually overlooked aspects of the HPC platforms evaluation, and share our conclusions and lessons learned. Overall, we believe that this paper will improve the evaluation and comparison of HPC platforms, making a first step towards a more reliable and uniform methodology.
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CitationRadulovic, M. [et al.]. Mainstream vs. emerging HPC: metrics, trade-offs and lessons learned. A: International Symposium on Computer Architecture and High Performance Computing. "2018 30th International Symposium on Computer Architecture and High Performance Computing: SBAC-PAD 2018: proceedings: Lyon, France, 24-27 September 2018". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 250-257. ISBN 978-1-5386-7769-8. DOI 10.1109/CAHPC.2018.8645891.
ISBN978-1-5386-7769-8
Publisher versionhttps://ieeexplore.ieee.org/document/8645891
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- Doctorat en Arquitectura de Computadors - Ponències/Comunicacions de congressos [308]
- Computer Sciences - Ponències/Comunicacions de congressos [597]
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