Parallel simulation of mixed-abstraction SystemC models on GPUs and multicore CPUs

Rohit Sinha, Aayush Prakash, Hiren D. Patel
2012 17th Asia and South Pacific Design Automation Conference  
This work presents a methodology that parallelizes the simulation of mixed-abstraction level SystemC models across multicore CPUs, and graphics processing units (GPUs) for improved simulation performance. Given a SystemC model, we partition it into processes suitable for GPU execution and CPU execution. We convert the processes identified for GPU execution into GPU kernels with additional SystemC wrapper processes that invoke these kernels. The wrappers enable seamless communication of events
more » ... all directions between the GPUs and CPUs. We alter the OSCI SystemC simulation kernel to allow parallel execution of processes. Hence, we co-simulate in parallel, the SystemC processes on multiple CPUs, and the GPU kernels on the GPUs; exploit both the CPUs, and GPUs for faster simulation. We experiment with synthetic benchmarks and a set-top box case study.
doi:10.1109/aspdac.2012.6164991 dblp:conf/aspdac/SinhaPP12 fatcat:2zhkm2yphvcfjf5gwhu64cpg2m