It's also interesting to note that this programming model is currently being used in more than 10,000 programs for applications such as large-scale graph processing, text processing or data mining.

TigerGraph’s eBook “Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link Analytics,” discusses what developers need to learn in order to leverage the power of graph ...

Both parallel programming and asynchronous programming are examples of concurrent programming, meaning more than one operation is running at the same time. Parallel programming is a more specific form ...

High Performance Computing (HPC) and parallel programming techniques underpin many of today’s most demanding computational tasks, from complex scientific simulations to data-intensive analytics.

Version 6.0 of the OpenMP API is released, which opens up parallel programming to new applications, makes it easier to develop parallel programs, and gives more fine grain control to the developer.

Programming Massively Parallel Processors: A Hands-on Approach by David B. Kirk and Wen-mei W. Hwu Morgan Kaufmann (February 5, 2010) ISBN 0123814723 I just finished reading the new book by David Kirk ...

The latest release of the C++ programming language, version C++11, includes a capability called Futures that allows programmers to neatly program in parallel, so a program can continue to execute ...

Programming tools that harness the computing power of CPUs and graphics processors have been updated, bringing more parallel programming capabilities to the table. Standards-setting firm Khronos ...