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Parallel sorting on Intel Single-Chip Cloud computer
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology. (PELAB)ORCID iD: 0000-0002-1940-3331
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.ORCID iD: 0000-0001-5241-0026
Fern Universität in Hagen, Fac. of Math. and Computer Science, Hagen, Germany.
2011 (English)In: 3rd Many-core Applications ResearchCommunity (MARC) Symposium / [ed] Diana Göhringer, Michael Hübner and Jürgen Becker, Karlsruhe: KIT Scientific Publishing , 2011, , 11 p.107-110 p.Conference paper, Published paper (Refereed)
Abstract [en]

The Single-Chip Cloud Computer (SCC) is an experimental processor created by Intel Labs. It comprises 48 x86 cores linked by an on-chip high performance network, as well as four DDR3 memory controllers to access an off-chip main memory of up to 64GiB. This work evaluates the performance of the SCC when accessing the off-chip memory. The focus of this study is not on taxing the bare hardware. Instead, we are interested in the performance of applications that run on the Linux operating system and use the SCC as it is provided. We see that the per-core read memory bandwidth is largely independent of the number of cores accessing the memory simultaneously, but that the write memory access performance drops when more cores write simultaneously to the memory. In addition, the global and per-core memory bandwidth, both writing and reading, depends strongly on the memory access pattern.

Place, publisher, year, edition, pages
Karlsruhe: KIT Scientific Publishing , 2011. , 11 p.107-110 p.
Series
KIT Report, ISSN 1869-9669 ; 7598
Keyword [en]
high-performance scc mapping parallel multicore manycore energy mergesort memory-intensive benchmark mpi communication pipeline cache scalability
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-93423Local ID: KIT-SR 7598ISBN: 978-3-86644-717-2 (print)OAI: oai:DiVA.org:liu-93423DiVA: diva2:624512
Conference
3rd Many-core Applications Research Community, Ettlingen, July 5-6 2011, Germany
Available from: 2013-05-31 Created: 2013-05-31 Last updated: 2014-10-08Bibliographically approved

Open Access in DiVA

Investigation of Main Memory Bandwidth on Intel Single-Chip Cloud Computer(75 kB)339 downloads
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File name FULLTEXT01.pdfFile size 75 kBChecksum SHA-512
8b5de1c5c31cfad626477a9c552d2792bbae3e93f3102e8f132af35011e1042b59d6046d482e77638f42f8dba15902cec04ac0ddd95a84f301d9b79104956fb4
Type fulltextMimetype application/pdf

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http://digbib.ubka.uni-karlsruhe.de/volltexte/1000023937

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Melot, NicolasKessler, Christoph

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CiteExportLink to record
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Citation style
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