ListarAC - Contribuciones a congresos científicos por tema "GPGPU"
Mostrando ítems 1-5 de 5
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DNA Sequences Alignment in Multi-GPUs: Energy Payoff on Speculative Executions
(2017-05-30)We present a performance per watt analysis of CUDAlign 4.0, a parallel strategy to obtain the optimal alignment of huge DNA se- quences in multi-GPU platforms using the exact Smith-Waterman method. Speed-up factors and ... -
GPGPU: Challenges ahead
(2015-11-13)Evolución, presente y futuro de la memoria DRAM del computador desde el punto de vista de los procesadores gráficos actuales, y su contribución presente y futura para la aceleración de aplicaciones científicas. -
Hardware support for scratchpad memory transactions on GPU architectures
(Springer, 2017-08-29)Graphics Processing Units (GPUs) have become the accelerator of choice for data-parallel applications, enabling the execution of thousands of threads in a Single Instruction - Multiple Thread (SIMT) fashion. Using OpenCL ... -
Programming GPUs with CUDA
(2015-11-13)Analizamos las prestaciones y características de las distintas generaciones de procesadores gráficos desarrollados por Nvidia para la programación de aplicaciones de propósito general bajo CUDA, un paradigma nuevo que ... -
Smith-Waterman Acceleration in Multi-GPUs: A Performance per Watt Analysis
(Springer, 2017)We present a performance per watt analysis of CUDAlign 4.0, a parallel strategy to obtain the optimal alignment of huge DNA se- quences in multi-GPU platforms using the exact Smith-Waterman method. Speed-up factors and ...