General purpose graphics processing units (GPGPUs) have recently been explored as a new computing paradigm for accelerating compute-intensive EDA applications. Such massively parallel architectures have been applied in accelerating the simulation of digital designs during several phases of their development – corresponding to different abstraction levels, specifically: (i) gate-level netlist descriptions, (ii) register-transfer level and (iii) transaction-level descriptions. This embedded tutorial presents a comprehensive analysis of the best results obtained by adopting GP-GPUs in all these EDA applications.

On the Use of GP-GPUs for Accelerating Compute-intensive EDA Applications

BOMBIERI, Nicola;FUMMI, Franco;VINCO, Sara;
2013

Abstract

General purpose graphics processing units (GPGPUs) have recently been explored as a new computing paradigm for accelerating compute-intensive EDA applications. Such massively parallel architectures have been applied in accelerating the simulation of digital designs during several phases of their development – corresponding to different abstraction levels, specifically: (i) gate-level netlist descriptions, (ii) register-transfer level and (iii) transaction-level descriptions. This embedded tutorial presents a comprehensive analysis of the best results obtained by adopting GP-GPUs in all these EDA applications.
9781467350716
GPU; SystemC; EDA
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11562/496954
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