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

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

ISBN-10: 3319102133

ISBN-13: 9783319102139

ISBN-10: 3319102141

ISBN-13: 9783319102146

This e-book constitutes the refereed court cases of the 4th foreign Workshop, PMBS 2013 in Denver, CO, united states in November 2013. The 14 papers provided during this quantity have been conscientiously reviewed and chosen from 37 submissions. the chosen articles largely disguise themes 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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Read or Download High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation: 4th International Workshop, PMBS 2013, Denver, CO, USA, November 18, 2013. Revised Selected Papers PDF

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Additional info 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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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.

Nek5000) can have different reuse distance distributions. It is important to investigate the full application to understand data locality. 3. Proxy applications and benchmarks tend to have higher rates of SIMD instructions because complex memory access patterns have been removed from compute-intensive loops, and the compiler can optimize and identify SIMD optimizations with higher clarity. 4. Finally, the communication topologies that we measured show that some of the proxy apps do not necessarily represent the communication behavior of the application they are intended to model.

In: Proceedings of the Conference on High Performance Computing, Networking, Storage and Analysis, SC 2009. ACM, New York (2009) 20. : Fast parallel algorithms for short-range molecular dynamics. Journal of Computational Physics 117, 1–19 (1995) 21. : Nek5000 website (2008) 22. : Parallel ocean general circulation modeling. 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.

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High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation: 4th International Workshop, PMBS 2013, Denver, CO, USA, November 18, 2013. Revised Selected Papers by Stephen A. Jarvis, Steven A. Wright, Simon D. Hammond (eds.)


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