Future computing platforms for science in a power constrained era

David Abdurachmanov, Peter Elmer, Giulio Eulisse, Robert Knight

Research output: Contribution to journalConference articlepeer-review


Power consumption will be a key constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics (HEP). This makes performance-per-watt a crucial metric for selecting cost-efficient computing solutions. For this paper, we have done a wide survey of current and emerging architectures becoming available on the market including x86-64 variants, ARMv7 32-bit, ARMv8 64-bit, Many-Core and GPU solutions, as well as newer System-on-Chip (SoC) solutions. We compare performance and energy efficiency using an evolving set of standardized HEP-related benchmarks and power measurement techniques we have been developing. We evaluate the potential for use of such computing solutions in the context of DHTC systems, such as the Worldwide LHC Computing Grid (WLCG).

Original languageEnglish (US)
Article number092007
JournalJournal of Physics: Conference Series
Issue number9
StatePublished - 2015
Event21st International Conference on Computing in High Energy and Nuclear Physics, CHEP 2015 - Okinawa, Japan
Duration: Apr 13 2015Apr 17 2015

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy


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