In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

Researchers at Los Alamos National Lab have developed new software to distribute computation more efficiently and across increasing numbers of supercomputer processors. This new decomposition approach ...

The aim of Cevotec’s (Munich, Germany) CAD-CAM software Artist Studio is to support engineers when designing fiber patch placement (FPP) laminates. Recently, the company worked with the Technical ...

Each year, the Association for Computing Machinery honors a computer scientist for his or her contributions to the field. The prize, which comes with $250,000 thanks to Google and Intel, is named in ...

This is a preview. Log in through your library . Abstract Many existing algorithms for obtaining the eigenvalues and eigenvectors of matrices would make poor use of such a powerful parallel computer ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

With the recent improvements in cryptanalysis, more applications have started to use Advanced Encryption Standard (AES) instead of Data Encryption Standard (DES) to protect their information and ...