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An Energy-Efficient Asymmetric Multi-Processorfor HPC Virtualization

dc.contributor.authorLee, Chung
dc.contributor.authorStrazdins, Peter
dc.coverage.spatialVancouver, Canada
dc.date.accessioned2024-01-16T23:30:42Z
dc.date.createdMay 21-25 2018
dc.date.issued2018
dc.date.updated2022-10-02T07:16:20Z
dc.description.abstractThe Asymmetric Multiprocessor (AMP) architecture brings new opportunities to achieve better trade-offs between performance and operational/financial costs. This paper presents the case of an AMP to address poor I/O performance in a virtualized HPC system, by using small side-cores to offload I/O processing. We use full machine simulations to explore the micro-architectural parameter space in detail and perform an energy-delay-area analysis, taking into account the relationship between size and access delay in the caches. The simulation side-core model has been validated on the Atom processor, with performance counter metrics being within 11%. study focuses on TLBs and caches which our results show to have a remarkable impact on performance. Compared with a previous AMP study considering only performance and limited to existing hardware, our results confirm the broad nature of that design, including the preference for an asymmetric 2-way CPU pipeline. Our improved methodology also boosts the degree of confidence in these results. We however show that the optimal features of an efficient side-core are smaller and simpler L1/L2 caches (16KB 4-way and 16KB 2-way I/D caches and a 128KB 4-way L2 cache) and L1/L2 TLBs (32/48 entry fully associative L1 I/D LBs and 256 entry 4-way L2 I/D TLBs). Meanwhile, our analysis reveals that a processor module consisting of two big cores and a small side-core of our design can reduce average power, energy, and area by 9.2%, 8%, and 24.4%, respectively, compared with a module of three big cores (the AMD K10), while retaining performance (at the cost of 1.3% performance loss).en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn978-1-5386-4368-6en_AU
dc.identifier.urihttp://hdl.handle.net/1885/311521
dc.language.isoen_AUen_AU
dc.publisherIEEEen_AU
dc.relation.ispartofseries32nd IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2018en_AU
dc.rights© 2018 IEEEen_AU
dc.sourceProceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2018en_AU
dc.titleAn Energy-Efficient Asymmetric Multi-Processorfor HPC Virtualizationen_AU
dc.typeConference paperen_AU
local.bibliographicCitation.lastpage1005en_AU
local.bibliographicCitation.startpage996en_AU
local.contributor.affiliationLee, Chung (Brian), College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationStrazdins, Peter, College of Engineering and Computer Science, ANUen_AU
local.contributor.authoruidLee, Chung (Brian), u5126875en_AU
local.contributor.authoruidStrazdins, Peter, u8914893en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.description.refereedYes
local.identifier.absfor460600 - Distributed computing and systems softwareen_AU
local.identifier.ariespublicationa383154xPUB10637en_AU
local.identifier.doi10.1109/IPDPSW.2018.00154en_AU
local.identifier.scopusID2-s2.0-85052205386
local.identifier.thomsonIDWOS:000541051600112
local.publisher.urlhttps://www.ieee.org/en_AU
local.type.statusPublished Versionen_AU

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