Multi2Sim: a simulation framework for CPU-GPU computing

Authors:
Rafael Ubal;Byunghyun Jang;Perhaad Mistry;Dana Schaa;David Kaeli
Affiliations:
Northeastern University, Boston, MA, USA;University of Mississippi, University, MS, USA;Northeastern University, Boston, MA, USA;Northeastern University, Boston, MA, USA;Northeastern University, Boston, MA, USA
Venue:
Proceedings of the 21st international conference on Parallel architectures and compilation techniques
Year:
2012

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Abstract

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.