New PDF release: Architecture of Computing Systems – ARCS 2012: 25th

By Andreas Heinig, Vincent J. Mooney, Florian Schmoll, Peter Marwedel, Krishna Palem (auth.), Andreas Herkersdorf, Kay Römer, Uwe Brinkschulte (eds.)

ISBN-10: 364228292X

ISBN-13: 9783642282928

ISBN-10: 3642282938

ISBN-13: 9783642282935

This e-book constitutes the refereed lawsuits of the twenty fifth overseas convention on structure of Computing platforms, ARCS 2012, held in Munich, Germany, in February/March 2012. The 20 revised complete papers offered in 7 technical periods have been conscientiously reviewed and chosen from sixty five submissions. The papers are prepared in topical sections on robustness and fault tolerance, power-aware processing, parallel processing, processor cores, optimization, and conversation and memory.

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Extra resources for Architecture of Computing Systems – ARCS 2012: 25th International Conference, Munich, Germany, February 28 - March 2, 2012. Proceedings

Sample text

When using the latter method, the number of created threads is equal to three times the number of threads originally requested; hence in this case, it is equal to three times the number of existing cores. Tripling the number of threads is the main cause of this slight loss in performance of the static redundant threads method when compared to our approach since oversubscriptions generated more context switches during execution which is time consuming. ) brought even more unnecessary overheads. The improvement in performance of our approach was however also limited for some benchmarks due to the effects of increasing task scheduling contention.

Techniques to reduce the soft error rate of a high-performance microprocessor. In: Proceedings of the 31st Annual International Symposium on Computer Architecture, ISCA 2004, pp. 264– 275. de Abstract. In this paper, we propose a novel system-level power modeling methodology that allows for very fast joint powerperformance evaluation at specification phase. This methodology adopts approximately-timed task-accurate performance models and augments them with power-state-based power models to enable efficient simulation.

To achieve sufficient simulation speed and accuracy at the same time, multiple power modeling techniques are adopted for different IP blocks according to their power characteristics. For the same purpose, a heterogeneous power model approach is proposed in [9] where power models with different accuracy and computation requirements are adaptively selected for individual components during simulation according to their power conditions. Both of these methods make use of computation intensive cycle-accurate models or instruction-level models.

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Architecture of Computing Systems – ARCS 2012: 25th International Conference, Munich, Germany, February 28 - March 2, 2012. Proceedings by Andreas Heinig, Vincent J. Mooney, Florian Schmoll, Peter Marwedel, Krishna Palem (auth.), Andreas Herkersdorf, Kay Römer, Uwe Brinkschulte (eds.)


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