High Performance Computing Systems. Performance Modeling, by Stephen A. Jarvis, Steven A. Wright, Simon D. Hammond (eds.)

By Stephen A. Jarvis, Steven A. Wright, Simon D. Hammond (eds.)

This ebook constitutes the refereed court cases of the 4th foreign Workshop, PMBS 2013 in Denver, CO, united states in November 2013. The 14 papers offered during this quantity have been conscientiously reviewed and chosen from 37 submissions. the chosen articles commonly hide subject matters on hugely parallel and high-performance simulations, modeling and simulation, version improvement and research, functionality optimization, energy estimation and optimization, excessive functionality computing, reliability, functionality research, and community simulations.

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Additional resources for High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation: 4th International Workshop, PMBS 2013, Denver, CO, USA, November 18, 2013. Revised Selected Papers

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2) but do not vectorize with AVX. 2, it is 16 bytes boundary. 0 link connects the two processors/sockets of the node to form a non-uniform-memory access (NUMA) architecture to do pointto-point communication; the other connects to the IO hub [4]. 6 GB/s bidirectional rate per link. 0 GT/s connect the two processors/sockets of the node and deliver 16 GB/s in each direction with a total of 32 GB/s bidirectional. 6 GB/s, whereas in Sandy Bridge, it is 128 GB/s, an increase of 148%. Performance Evaluation of the Intel Sandy Bridge Based NASA Pleiades 29 Fig.

Physica D 60(1–4), 38–61 (1992) 23. : The Community Climate System Model version 3 (CCSM3). Journal of Climate 19(11), 2122–2143 (2006) 24. : Pin: building customized program analysis tools with dynamic instrumentation. In: Proceedings of the 2005 ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2005, pp. 190–200. ACM, New York (2005) 25. com/sites/landingpage/pintool/ docs/53271/Xed/html 26. Intel Corporation: Intel Architecture software developer’s manual, vol. S.

Saini et al. Fig. 8. Performance of G-HPL on Westmere and Sandy Bridge In Figure 9, we show memory bandwidth for each system using the EP-Stream Triad benchmark. 8% higher for Sandy Bridge due to faster memory speed (1600 vs. 5 MB vs. 2 MB per core; 25% larger cache on Sandy Bridge). 6 GB/s due to memory contention. 4 GB/s per node = 2 processors x 4 channels x 8 bytes x 1600 MHz per processor). The faster memory bus enables Sandy Bridge to deliver both higher peak-memory bandwidth and efficiency, producing significant advantages for memory-intensive codes.

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