Multi2Sim: a simulation framework for CPU-GPU computing

Rafael Ubal, Byunghyun Jang, Perhaad Mistry, Dana Schaa, David Kaeli
Electrical and Computer Engineering Dept., Northeastern University, 360 Huntington Ave., Boston, MA 02115
21st international conference on Parallel architectures and compilation techniques (PACT ’12), 2012


   title={Multi2Sim: a simulation framework for CPU-GPU computing},

   author={Ubal, R. and Jang, B. and Mistry, P. and Schaa, D. and Kaeli, D.},

   booktitle={Proceedings of the 21st international conference on Parallel architectures and compilation techniques},





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Accurate simulation is essential for the proper design and evaluation of any computing platform. Upon the current move toward the CPU-GPU heterogeneous computing era, researchers need a simulation framework that can model both kinds of computing devices and their interaction. In this paper, we present Multi2Sim, an open-source, modular, and fully configurable toolset that enables ISA-level simulation of an x86 CPU and an AMD Evergreen GPU. Focusing on a model of the AMD Radeon 5870 GPU, we address program emulation correctness, as well as architectural simulation accuracy, using AMD’s OpenCL benchmark suite. Simulation capabilities are demonstrated with a preliminary architectural exploration study, and workload characterization examples. The project source code, benchmark packages, and a detailed user’s guide are publicly available at www.multi2sim.org.
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