Simulators are still the primary tools for development and performance evaluation of applications running on massively parallel architectures. However, current virtual platforms are not able to tackle the complexity issues introduced by 1000-core future scenarios. We present a fast and accurate simulation framework targeting extremely large parallel systems by specifically taking advantage of the inherent potential processing parallelism available in modern GPGPUs.

Scalable instruction set simulator for thousand-core architectures running on GPGPUs / Raghav, S.; Ruggiero, M.; Atienza, D.; Pinto, C.; Marongiu, A.; Benini, L.. - (2010), pp. 459-466. (Intervento presentato al convegno High Performance Computing and Simulation (HPCS), 2010 International Conference on tenutosi a Caen nel June 28 2010-July 2 2010) [10.1109/HPCS.2010.5547092].

Scalable instruction set simulator for thousand-core architectures running on GPGPUs

MARONGIU A.;
2010

Abstract

Simulators are still the primary tools for development and performance evaluation of applications running on massively parallel architectures. However, current virtual platforms are not able to tackle the complexity issues introduced by 1000-core future scenarios. We present a fast and accurate simulation framework targeting extremely large parallel systems by specifically taking advantage of the inherent potential processing parallelism available in modern GPGPUs.
2010
High Performance Computing and Simulation (HPCS), 2010 International Conference on
Caen
June 28 2010-July 2 2010
459
466
Raghav, S.; Ruggiero, M.; Atienza, D.; Pinto, C.; Marongiu, A.; Benini, L.
Scalable instruction set simulator for thousand-core architectures running on GPGPUs / Raghav, S.; Ruggiero, M.; Atienza, D.; Pinto, C.; Marongiu, A.; Benini, L.. - (2010), pp. 459-466. (Intervento presentato al convegno High Performance Computing and Simulation (HPCS), 2010 International Conference on tenutosi a Caen nel June 28 2010-July 2 2010) [10.1109/HPCS.2010.5547092].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1171924
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