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In this paper, several versions of a signal extraction algorithm, pertaining to the entry stage of the Cherenkov Telescope Array's Real Time Analysis pipeline, were implemented and optimised using SSE2, POSIX threads and CUDA. Results of this proof of concept let us gain an insight into the suitability of each platform, and the performance each one can deliver, to carry out this particular task.
Graphics processing units (GPUs) are increasingly being used for general purpose parallel computing. They provide significant performance gains over multi-core CPU systems, and are an easily accessible alternative to supercomputers. The architecture of general purpose GPU systems(GPGPU), however, poses challenges in efficiently transferring data among the host and device(s). Although commodity many...
General-purpose computing on graphics processing units (GPGPU) is popular computing technology to utilize in various fields. In the paper, we parallelize cryptographical hash processing of a password cracking tool, John the Ripper, by utilizing CUDA on GPGPU. We also evaluate our work to compare the processing time of hash processing parallelized by GPU with that of the John the Ripper on a dual-core...
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