Redmond, Wash. — Multicore processors are driving a historic shift to a new parallel architecture for mainstream computers. But a parallel programming model to serve those machines will not emerge for ...

Programming heterogeneous multi-processor SoCs is a challenging task, he said, that requires a new approach to parallel programming along with computation models for procedure-level and task-level ...

Emerging programming models provide a unified approach to the various types of processors and parallelism mechanisms available. A high-level software development platform designed around a suitable ...

The ever charismatic Douglas Eadline has written an interesting perspective piece for Linux-Mag on the future of parallel programming models. Now that we’ve entered the era-o-multi-core, the current ...

Parallel programming, and OpenACC, is used in high-performance computing in the fields of bioinformatics, quantum chemistry, astrophysics and more. “The model was made to ensure that scientists spend ...

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 ...

OpenMP and OpenACC are on very different trajectories when it comes to parallel programming, and there are many, many differences between the two models. OpenACC is smaller and leaner, and OpenMP is ...

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 ...