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

Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day on ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

This course provides an introduction to Kernel programming for the Linux operating system, and the development of Linux kernel drivers for Embedded devices. The Yocto build system is introduced, which ...

Lots more cores are coming -- but don't panic. Look for abstract programming methods pioneered by the MIT Cilk project to span to the future to address task parallelism, data parallelism and safety ...

James Reinders, Intel's head of software development products, sets out some of the company's plans for encouraging more developers to switch to parallel programming. With many programmers barely ...

Non-deterministic programs generally have the worst reputation for parallel programming, which often leads to the frustration of having programs that don’t run the same way, given the same data inputs ...

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