The first of a multi-part series on designing parallel algorithms by Ian Foster is up at Dr. Dobb’s. The articles are based on Foster’s well-known text, Designing and Building Parallel Programs: ...

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 ...

Prof. YANG Jinlong and Prof. AN Hong from University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), along with domestic collaborators, have realized ...

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 ...

Parallel tempering is a generic Markov chain Monte Carlo sampling method which allows good mixing with multimodal target distributions, where conventional Metropolis-Hastings algorithms often fail.

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 ...

Dr. Muhammad Shaaban obtained his Ph.D. in Computer Engineering from University of Southern California, and his M.S. and B.S. in Electrical Engineering from University of Petroleum and Minerals, ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...