Download Energy-Efficient High Performance Computing: Measurement and by James H. Laros III, Kevin Pedretti, Suzanne M. Kelly, Wei PDF

By James H. Laros III, Kevin Pedretti, Suzanne M. Kelly, Wei Shu, Kurt Ferreira, John Van Dyke, Courtenay Vaughan

ISBN-10: 1447144910

ISBN-13: 9781447144915

ISBN-10: 1447144929

ISBN-13: 9781447144922

In this paintings, the original strength size services of the Cray XT structure have been exploited to realize an knowing of energy and effort use, and the results of tuning either CPU and community bandwidth. transformations have been made to deterministically halt cores whilst idle. also, features have been additional to change working P-state. on the program point, an figuring out of the facility standards of a number of vital DOE/NNSA creation medical computing purposes operating at huge scale is received by way of at the same time gathering present and voltage measurements at the web hosting nodes. the results of either CPU and community bandwidth tuning are tested, and effort reductions possibilities with no impression on run-time functionality are proven. This learn means that next-generation large-scale structures will not be in basic terms technique CPU frequency scaling otherwise, yet may also enjoy the potential to song different platform elements to accomplish extra energy-efficient performance.

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Guedes, B. Kemp, J. LoVerso, M. Leibensperger, M. Barnett, F. Rabii, D. Netterwala, An OSF/1 UNIX for Massively Parallel Multicomputers, in Proceedings of the USENIX Technical Conference, USENIX, 1993 9. F. Petrini, D. Kerbyson, S. Pakin, The Case of the missing supercomputer performance: achieving optimal performance on the 8,192 Processors of ASCI Q, in Proceedings of the International Conference on High Performance Computing, Networking, Storage, and Analysis (SC), ACM/IEEE, 2003 10. B. Ferreira, R.

This unfortunately necessitates a full system reboot for every alteration of the interconnect bandwidth. Typically, all four rails of the Seastar are configured on. This is the default behavior but the number of rails can also be specified in the rail_enable field of the J. H. 1007/978-1-4471-4492-2_7, © James H. Laros III 2013 43 44 7 Network Bandwidth Tuning During Application Runtime router configuration file by specifying a single hex number (representing the four configuration bits1 ). In the following experiments, the interconnect bandwidth of the Seastar was configured to effectively tune the network bandwidth to full (baseline), 1/2, and 1/4th speed.

Clearly, since the CPU is the largest consumer of power, it is productive to analyze it both in isolation and as a component of total system power. In the following experiment CPU data is measured in isolation. 1 Operating System Modifications A number of targeted modifications were made to Catamount to accomplish these experiments. First, it was necessary to interrogate chip architecture capabilities to determine if Advanced Power Management (APM) is supported. More specifically, the CPU is interrogated to determine if hardware P-state control is supported.

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