Abstract
Chip Multi-Processors (CMPs) are becoming mainstream microprocessors for High Performance Computing and commercial business applications as well. Multiple CPU cores on CMPs allow multiple software threads executing on the same chip at the same time. Thus they promise to deliver higher capacity of computations performed per chip in a given time interval. However, resource sharing among the threads executing on the same chip can cause conflicts and lead to performance degradation. Thus, in order to obtain high performance and scalability on CMP servers, it is crucial to first understand the performance impact that the resource conflicts have on the target applications. In this paper, we evaluate the performance impact of the resource conflicts on an example high-end CMP server, Sun Fire E25K, using a standard OpenMP benchmark suite, SPEC OMPL.
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References
AMD Multi-Core: Introducing x86 Multi-Core Technology & Dual-Core Processors (2005), http://multicore.amd.com/
Chaudhry, S., Caprioli, P., Yip, S., Tremblay, M.: High-Performance Throughput Computing, IEEE Micro (May-June 2005)
Intel Dual-Core Server Processor, http://www.intel.com/business/bss/products/server/dual-core.htm
Intel Hyperthreading Technology, http://www.intel.com/technology/hyperthread/index.htm
Kalla, R., Sinharoy, B., Tendler, J.: IBM POWER5 chip: a dual core multithreaded processor, IEEE Micro (March-April 2004)
Li, Y., Brooks, D., Hu, Z., Shadron, K.: Performance, Energy, and Thermal Considerations for SMT and CMP Architectures. In: 11th International Symposium on High-Performance Computer Architecture (2005)
Li, Z.: Optimal Skewed Tiling for Cache Locality Enhancement. In: International Parallel and Distributed Processing Symposium (IPDPS’03) (2003)
Olukotun, K., et al.: The Case for a single Chip-Multiprocessor. In: International Conference on Architectural Support for Programming Languages and Operating Systems (1996)
OpenMP Architecture Review Board, http://www.openmp.org
Solaris 10 Operating System, http://www.sun.com/software/solaris
The SPEC OMP benchmark suite, http://www.spec.org/omp
Sun Fire E25K server, http://www.sun.com/servers/highend/sunfire_e25k/index.xml
Sun Studio 10 Software, http://www.sun.com/software/products/studio/index.html
Sun UltraSPARC T1 microprocessor, http://www.sun.com/processors/UltraSPARC-T1
Tullsen, D., Eggers, S., Levy, H.: Simultaneous MultiThreading: Maximizing On-Chip Parallelism. In: International Symposium on Computer Architecture (1995)
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© 2007 Springer-Verlag Berlin Heidelberg
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Lee, M., Ryu, Y., Hong, S., Lee, C. (2007). Performance Impact of Resource Conflicts on Chip Multi-processor Servers. In: Kågström, B., Elmroth, E., Dongarra, J., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2006. Lecture Notes in Computer Science, vol 4699. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75755-9_134
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DOI: https://doi.org/10.1007/978-3-540-75755-9_134
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75754-2
Online ISBN: 978-3-540-75755-9
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