Adaptive Partition-Based Logic Simulation Using GPGPU

Provided by: Institute of Electrical & Electronic Engineers
Topic: Hardware
Format: PDF
With the improvement of the gate complexity, the verification overhead becomes more decisive for VLSI design cost. In order to reduce the simulation time, a adaptive partition based parallel method of VLSI logic simulation with GPGPU is addressed in this paper. The numerous arithmetic blocks of GPGPU is utilized simultaneously for disparate circuit macros. The partition strategy, the authors proposed shows a sufficient flexibility to balance the different work load in parallel threads and fit the feature of GPU architecture. To explore the parallelism and locality of logic simulation further, the circuit macro is organized as stream data.

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