FATSEA – An Architectural Simulator for General Purpose Computing on GPUs

Abstract

We present FATSEA, a functional and performance evaluation simulator written in C++ to handle kernels written in the CUDA programming language aimed for GPGPU computing. FATSEA takes a Parallel Thread eXecution (PTX ) code as input, which is a device independent code format generated by the Nvidia CUDA compiler, to validate results and estimate performance… (More)

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Cite this paper

@inproceedings{stby2009FATSEAA, title={FATSEA – An Architectural Simulator for General Purpose Computing on GPUs}, author={K. E. \Ostby}, year={2009} }