MCMG simulator: A unified simulation framework for CPU and graphic GPU
| Autor: | Jianliang Ma, Tianzhou Chen, Licheng Yu, John Ye |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Computer Networks and Communications
business.industry Address space Computer science Applied Mathematics Parallel computing Modular design Theoretical Computer Science Computing architecture Mode (computer interface) Computational Theory and Mathematics Shared memory Computer architecture x86 Verification and validation of computer simulation models System validation business Simulation |
| Zdroj: | Journal of Computer and System Sciences. 81:57-71 |
| ISSN: | 0022-0000 |
| Popis: | Accurate simulation is vital for the proper design and evaluation of any computing architecture. Researchers seek unified simulation frameworks that can model heterogeneous architectures like CPU and GPU devices and their interactions as computing patterns move toward heterogeneous era. In this paper, we introduce MCMG (Multi-CPU Multi-GPU) simulator, a cycle accurate, modular and open-source toolset that enables simulating x86 CPUs and Nvidia G80 like GPUs simultaneously. Targeting heterogeneous architectural exploration, MCMG supports fully configuration of multiple CPUs, GPUs and their memory sub-system. Not only CPUs, relative running frequency of each GPU can be also defined conveniently. Simulation validation is demonstrated with a preliminary architectural exploration study. Then we present shared LLC access results of heterogeneous cores and show reasonable explanation. Finally, we conclude the job. We first integrate Nvidia rasterization-based GPU simulator with CPU simulator.We first provide SLI-like mode multiple GPUs simulation capability.We provide multiple CPUs and GPUs simulation with shared memory address space. |
| Databáze: | OpenAIRE |
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