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 ...

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 ...

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 ...

ICPP, the International Conference on Parallel Processing, provides a forum for engineers and scientists in academia, industry, and government to present their latest research findings in all aspects ...

For those trying to keep track of the myriad Microsoft efforts in the parallel programming/distributed computing space, here's a new language to add to your list ...

Selected advanced topics including: Parallel computing; network security; client-server computing; compression; web applications; wireless and mobile computing. The fourth number of the course code ...

In this video from the European R Users Meeting, Henrik Bengtsson from the University of California San Francisco presents: A Future for R: Parallel and Distributed Processing in R for Everyone. The ...

ANAHEIM, Calif. — Because of the large nature that EDA represents, EDA vendors are some of the pioneers of using compute-farms. This raises a question on the probability that these help make progress ...

The German Research Foundation (DFG) has approved further funding for our work on code generation and optimization for deep learning computations. The project will be funded for a total of 36 months ...