Write program to run in parallel? Yes. Did you remember to use a Scalable Memory Allocator? No? Then read on … In my experience, making sure “memory allocation” for a program is ready for parallelism ...

Computer science is approaching a crisis that some CS experts say could fuel a renaissance of ideas. Very soon, mainstream computers will need an easy-to-use parallel programming model to tap into ...

The world's fastest supercomputer can now perform 200,000 trillion calculations per second, and several companies and government agencies around the world are competing to build a machine that will ...

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

Scalability, correctness and maintainability are all vital issues when it comes to managing multicore systems, says Intel's James Reinders... I'm James Reinders and today we're going to talk about ...

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 ...

I’m James Reinders and today we’re going to talk about three key challenges that you need to have in mind as you approach adding parallelism to a project. So you’ve heard about parallelism, you’ve ...

Many hands make light work, or so they say. So do many cores, many threads and many data points when addressed by a single computing instruction. Parallel programming – writing code that breaks down ...

Supercomputers often conjure up images of government labs with racks of processors and little concern for budgets. Actually, highperformance servers and clusters of multiple processors are in wide use ...