Multi2Sim: A simulation framework for CPU-GPU computing

By R. Ubal, B. Jang, Perhaad Mistry, Dana Schaa, D. Kaeli. International Conference on Parallel Architectures and Compilation Techniques, 2012

508 citations recorded by the source corpus.

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Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling (2018, methodology): “Xun et al. [15] model GPU Kepler architecture [38] that is integrated with the Multi2sim simulation infrastructure [69].”
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator (2018, background): “com/gpgpu-sim/gpgpusim_distribution (dev branch) [3] are unable to run applications that make use of these precompiled libraries.”
GPUWattch: enabling energy optimizations in GPGPUs (2013, methodology): “Although GPU performance models, such as GPGPU-Sim [4], Multi2Sim [34] and MacSim [1], have enabled performance oriented research on branch divergence [11,12,27], memory bandwidth pressure [5, 32], and so forth, similar eﬀorts to investigate and optimize GPU energy-eﬃciency problems have been…”