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SESH framework: A Space Exploration Framework for GPU Application and Hardware Codesign

Joo Hwan Lee, Jiayuan Meng, Hyesoon Kim
School of Computer Science, Georgia Institute of Technology, Atlanta, GA, USA
4th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS13), 2013

@article{lee2013sesh,

   title={SESH framework: A Space Exploration Framework for GPU Application and Hardware Codesign},

   author={Lee, Joo Hwan and Meng, Jiayuan and Kim, Hyesoon},

   year={2013}

}

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Graphics processing units (GPUs) have become increasingly popular accelerators in supercomputers, and this trend is likely to continue. With its disruptive architecture and a variety of optimization options, it is often desirable to understand the dynamics between potential application transformations and potential hardware features when designing future GPUs for scientific workloads. However, current codesign efforts have been limited to manual investigation of benchmarks on microarchitecture simulators, which is labor-intensive and time-consuming. As a result, system designers can explore only a small portion of the design space. In this paper, we propose SESH framework, a model-driven codesign framework for GPU, that is able to automatically search the design space by simultaneously exploring prospective application and hardware implementations and evaluate potential software-hardware interactions.
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