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 Intel® Math Kernel Library, Intel MKL, is a library of common numerical methods used in scientific and engineering applications. Highly optimized for Intel processors running Windows, MacOS, and ...

The most widely used matrix-matrix multiplication routine is GEMM (GEneral Matrix Multiplication) from the BLAS (Basic Linear Algebra Subroutines) library. And these days it can be found being used in ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

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 ...

Each year, Intel bundles core software developments into its Parallel Studio Suite and releases an updated version, which includes extensions to its suite of libraries, compilers, and analytical tools ...

What comes after “Big Data”? I’d say “Faster Big Data.” And it’s going to be a game changer well beyond what Big Data has done so far. Fast and efficient Big Data applications will change our lives.

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 ...