SystemC is a widespread language for HW/SW system simulation and design exploration, and thus a key development platform in embedded system design. However, the growing complexity of SoC designs is having an impact on simulation performance, leading to limited SoC exploration potential, which in turns affects development and verification schedules and time-to-market for new designs. Previous efforts have attempted to parallelize SystemC simulation, targeting both multiprocessors and GPUs. However, for practical designs, those approaches fall far short of satisfactory performance. This paper proposes SAGA, a novel simulation approach that fully exploits the intrinsic parallelism of RTL SystemC descriptions, targeting GPU platforms. By limiting synchronization events with ad-hoc static scheduling and separate independent dataflows, we shows that we can simulate complex SystemC descriptions up to 16 times faster than traditional simulators.

SAGA: SystemC acceleration on GPU architectures / Vinco, Sara; Debapriya, Chatterjee; Valeria, Bertacco; Franco, Fummi. - (2012), pp. 115-120. (Intervento presentato al convegno IEEE/ACM Design Automation Conference (DAC) tenutosi a San Francisco, USA nel June 2-6) [10.1145/2228360.2228382].

SAGA: SystemC acceleration on GPU architectures

VINCO, SARA;
2012

Abstract

SystemC is a widespread language for HW/SW system simulation and design exploration, and thus a key development platform in embedded system design. However, the growing complexity of SoC designs is having an impact on simulation performance, leading to limited SoC exploration potential, which in turns affects development and verification schedules and time-to-market for new designs. Previous efforts have attempted to parallelize SystemC simulation, targeting both multiprocessors and GPUs. However, for practical designs, those approaches fall far short of satisfactory performance. This paper proposes SAGA, a novel simulation approach that fully exploits the intrinsic parallelism of RTL SystemC descriptions, targeting GPU platforms. By limiting synchronization events with ad-hoc static scheduling and separate independent dataflows, we shows that we can simulate complex SystemC descriptions up to 16 times faster than traditional simulators.
2012
9781450311991
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2529504
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