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Multiple-precision integer operations are key components of many security applications; but unfortunately they are computationally expensive on contemporary CPUs. In this paper, we present our design and implementation of a multiple-precision integer library for GPUs which is implemented by CUDA. We report our experimental results which show that a significant speedup can be achieved by GPUs as compared...
Graphics processing units (GPUs) have emerged as a powerful platform for high-performance computation. They have been successfully used to accelerate many scientific workloads. Typically, the computationally intensive parts of the application are offloaded to the GPU, which serves as the CPU's parallel coprocessor. The key to effective utilization of GPUs for scientific computing is the design and...
Optimization algorithms are becoming increasingly more important in many areas, such as finance and engineering. Typically, real problems involve several hundreds of variables, and are subject to as many constraints. Several methods have been developed trying to reduce the theoretical time complexity. Nevertheless, when problems exceed reasonable sizes they end up being very computationally intensive...
This paper discusses how to optimize the digital graphic program with cache system used in GPU/CPU architecture to gain more FPS. Firstly, we introduce the basic principle of cache system summarily; secondly, we discuss the three main organization and mapping technologies of cache system in detail, and then compare these three cache mapping solutions by giving examples; thirdly, illustrate the cache-friendly...
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