Paper Info
Title
Performance impact of resource contention in multicore systems
Abstract
Resource sharing in commodity multicore processors can have a significant impact on the performance of production applications. In this paper we use a differential performance analysis methodology to quantify the costs of contention for resources in the memory hierarchy of several multicore processors used in high-end computers. In particular, by comparing runs that bind MPI processes to cores in different patterns, we can isolate the effects of resource sharing. We use this methodology to measure how such sharing affects the performance of four applications of interest to NASA-OVERFLOW, MITgcm, Cart3D, and NCC. We also use a subset of the HPCC benchmarks and hardware counter data to help interpret and validate our findings. We conduct our study on high-end computing platforms that use four different quad-core microprocessors-Intel Clovertown, Intel Harpertown, AMD Barcelona, and Intel Nehalem-EP. The results help further our understanding of the requirements these codes place on their production environments and also of each computer's ability to deliver performance.
Year
DOI
Venue
2010
10.1109/IPDPS.2010.5470399
Parallel & Distributed Processing
Keywords
Field
DocType
message passing,multiprocessing systems,performance evaluation,resource allocation,amd barcelona,cart3d,intel clovertown,intel harpertown,intel nehalem-ep,mitgcm,mpi processes,nasa-overflow,ncc,commodity multicore processors,differential performance analysis,high-end computers,multicore systems,performance impact,quad-core microprocessors,resource contention,resource sharing,applications,multi-core,performance,application software,hardware,resource management,benchmark testing,bandwidth,multi core,computer graphics,multicore processing,multicore processors,high performance computing,silicon,production
Computer science,Multi-core processor,Benchmark (computing),Message passing,Distributed computing,Computer architecture,Memory hierarchy,Parallel computing,Bandwidth (signal processing),Resource allocation,Shared resource,Operating system,Multicore systems
Conference
ISSN
ISBN
Citations 
1530-2075
978-1-4244-6442-5
14
PageRank 
References 
Authors
0.67
6
9
Name
Order
Citations
PageRank
robert hood1140.67
haoqiang jin2140.67
piyush mehrotra3140.67
johnny chang4140.67
Jahed Djomehri56510.68
sharad gavali6140.67
Dennis C. Jespersen7252.77
Kenichi Taylor8181.50
Rupak Biswas9922109.66