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Large-memory nodes for energy efficient high-performance computing
dc.contributor.author | Živanovič, Darko |
dc.contributor.author | Radulović, Milan |
dc.contributor.author | Llort, German |
dc.contributor.author | Zaragoza, David |
dc.contributor.author | Strassburg, Janko |
dc.contributor.author | Carpenter, Paul Matthew |
dc.contributor.author | Radojković, Petar |
dc.contributor.author | Ayguadé Parra, Eduard |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2016-12-07T13:29:45Z |
dc.date.issued | 2016 |
dc.identifier.citation | Zivanovic, D., Radulovic, M., Llort, G., Zaragoza, D., Strassburg, J., Carpenter, P., Radojkovic, P., Ayguade, E. Large-memory nodes for energy efficient high-performance computing. A: International Symposium on Memory Systems. "MEMSYS 2016: proceedings of the Second Intaernational Symposium on Memory Systems: Alexandria, VA, USA: October 03-06, 2016". Alexandria, VA: Association for Computing Machinery (ACM), 2016, p. 3-9. |
dc.identifier.isbn | 978-1-4503-4305-3 |
dc.identifier.uri | http://hdl.handle.net/2117/97864 |
dc.description.abstract | Energy consumption is by far the most important contributor to HPC cluster operational costs, and it accounts for a significant share of the total cost of ownership. Advanced energy-saving techniques in HPC components have received significant research and development effort, but a simple measure that can dramatically reduce energy consumption is often overlooked. We show that, in capacity computing, where many small to medium-sized jobs have to be solved at the lowest cost, a practical energy-saving approach is to scale-in the application on large-memory nodes. We evaluate scaling-in; i.e. decreasing the number of application processes and compute nodes (servers) to solve a fixed-sized problem, using a set of HPC applications running in a production system. Using standard-memory nodes, we obtain average energy savings of 36%, already a huge figure. We show that the main source of these energy savings is a decrease in the node-hours (node_hours = #nodes x exe_time), which is a consequence of the more efficient use of hardware resources. Scaling-in is limited by the per-node memory capacity. We therefore consider using large-memory nodes to enable a greater degree of scaling-in. We show that the additional energy savings, of up to 52%, mean that in many cases the investment in upgrading the hardware would be recovered in a typical system lifetime of less than five years. |
dc.format.extent | 7 p. |
dc.language.iso | eng |
dc.publisher | Association for Computing Machinery (ACM) |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | High performance computing |
dc.subject.other | Computer systems organization |
dc.subject.other | Distributed architectures |
dc.subject.other | Hardware |
dc.subject.other | Power and energy |
dc.title | Large-memory nodes for energy efficient high-performance computing |
dc.type | Conference report |
dc.subject.lemac | Càlcul intensiu (Informàtica) |
dc.contributor.group | Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
dc.identifier.doi | 10.1145/2989081.2989083 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://dl.acm.org/citation.cfm?id=2989083 |
dc.rights.access | Open Access |
local.identifier.drac | 19329420 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//SEV-2015-0493/ES/BARCELONA SUPERCOMPUTING CENTER - CENTRO. NACIONAL DE SUPERCOMPUTACION/ |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII/ |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/671578/EU/European Exascale Processor Memory Node Design/ExaNoDe |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//SVP-2014-068501/ES/SVP-2014-068501/ |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII/ |
dc.date.lift | 10000-01-01 |
local.citation.author | Zivanovic, D.; Radulovic, M.; Llort, G.; Zaragoza, D.; Strassburg, J.; Carpenter, P.; Radojkovic, P.; Ayguade, E. |
local.citation.contributor | International Symposium on Memory Systems |
local.citation.pubplace | Alexandria, VA |
local.citation.publicationName | MEMSYS 2016: proceedings of the Second Intaernational Symposium on Memory Systems: Alexandria, VA, USA: October 03-06, 2016 |
local.citation.startingPage | 3 |
local.citation.endingPage | 9 |