微软研究院加速器项目公开了一个使用计算机的GPU完成并行数据处理的。NET函数库。
Microsoft Research's Accelerator Project exposes a.net library for performing parallel data processing using a computer's GPU.
异构计算是并行处理的一个新领域，可望达到超级线性加速比。
Heterogeneous computing is a new branch of parallel processing and expected to reach super speedup.
GPU处理具有较高的并行度，利用GPU对细节复杂模型的绘制进行加速是一个有效加速途径。
Modern Graphics Processing Unit (or GPU) has powerful parallel computing capability, and thus using GPU to accelerate the real time rendering of highly detailed surfaces is an effective approach.
实验表明，本文提出的方法在包含三个处理器核的硬件平台上可以获得高达1.93的加速比，具有良好的并行化能力。
The experiment shows that the speedup 1.93 is gained on the multi-core platform with three processors, which proves that the parallelization method proposed can achieve a good performance.
仿真实验表明，并行处理方法达到亚线性加速，可以较好地满足实时在线辨识内部模型的应用需求。
The simulation experiment shows that the parallel processing method obtains sub - linear speedup , and the requirement for real - time identification of internal model on-line is basically satisfied.
仿真实验表明，并行处理方法达到亚线性加速，可以较好地满足实时在线辨识内部模型的应用需求。
The simulation experiment shows that the parallel processing method obtains sub - linear speedup , and the requirement for real - time identification of internal model on-line is basically satisfied.
应用推荐