The difference between distributed computing and concurrent programming is a common area of confusion as there is a significant amount of overlap between the two when you set out to accomplish ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

A new study by Botond Szabo (Bocconi Department of Decision Sciences) lays the cornerstone for more accurate, reliable, and interpretable distributed computing methods. In the world of big data, when ...

Stanford University and a consortium of technology companies are announcing a joint effort to build a Pervasive Parallelism Lab. The initiative pools the efforts of many Stanford computer scientists ...

The enormous growth in artificial intelligence (AI) and Internet of Things (IoT) is fueling a growing demand for high-efficiency computing to perform real-time analysis on massive amounts of data. In ...

The sheer volume of ‘Big Data’ produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a ...