Optimizing System Models for Simulation Efficiency

Sharad, Shekhar; Shukla, Sandeep K.

doi:10.1007/978-1-4020-8052-4_12

Cited by 3 publications

(1 citation statement)

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“…This aspect has motivated the research community to develop techniques to accelerate SystemC simulations. These techniques include model transformations [10], distributed simulation [11], process splitting [12], and static scheduling of processes [13]. Furthermore, the SystemC reference simulation kernel implements a conventional discrete-event semantics in its singlethreaded implementation.…”

Section: Introductionmentioning

confidence: 99%

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

Bertacco¹,

Chatterjee²,

Bombieri³

et al. 2013

Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE), 2013

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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.

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Section: Introductionmentioning

confidence: 99%