数学计算中的硬件加速是社区经常探讨的话题，如果能够利用一些库和硬件的优势，无疑能够帮助科研、生产等。近日，一个优化 AMD CPU 的帖子在 Matlab 社区引起讨论——通过几行代码，将 AMD CPU 加速 250%，进而帖子作者将方法推广到了其他社区，介绍了更普适性 ...

Deep learning is one of the hottest subjects in the field of computer science these days, fueled by the convergence of massive datasets, highly parallel processing power, and the drive to build ...

The MKL libraries for accelerating math operations debuted in Intel's own Python distribution, but now other Pythons are following suit Last year Intel became a Python distributor, offering its own ...

Most traditional high-performance computing applications focus on computations on very large matrices. Think seismic analysis, weather prediction, structural analysis. But today, with advances in deep ...

In Part 1 we introduced Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN), an open source performance library for deep learning applications. Detailed steps were provided on how to ...

Data scientists and deep and machine learning researchers rely on frameworks and libraries such as Torch, Caffe, TensorFlow, and Theano. Studies by Colfax Research and Kyoto University have found that ...