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ASSESSING THE PERFORMANCE AND ENERGY USAGE OF MULTI-CPUS, MULTI-CORE AND MANYCORE SYSTEMS: THE MMP IMAGE ENCODER CASE STUDY
2016
Zenodo
This paper studies the performance and energy consumption of several multi-core, multi-CPUs and manycore hardware platforms and software stacks for parallel programming. It uses the Multimedia Multiscale Parser (MMP), a computationally demanding image encoder application, which was ported to several hardware and software parallel environments as a benchmark. Hardware-wise, the study assesses NVIDIA's Jetson TK1 development board, the Raspberry Pi 2, and a dual Intel Xeon E5-2620/v2 server, as
doi:10.5281/zenodo.3460388
fatcat:x7u6szj3mrhtjfqeckvls7w7ri