It evolved from an earlier concept known as the Parallel Random-Access Machine/model (PRAM), which was an early attempt at parallel programming. The PRAM attempt was considered as having a great ...

Multicore chip designs, large symmetrical multiprocessing (SMP) systems, and clustering can bring many processors to bear on an application. But without proper software, they're simply large ...

Parallel programming is hard. But debugging it is even harder. Unfortunately, taking advantage of multicore solutions like Intel’s 80-core TeraScale prototype will require some type of ...

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 ...

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. This ...

In this paper, the authors present a survey of the different parallel programming models and tools available today with special consideration to their suitability for high performance computing. Thus, ...

I have a couple observations that I would to spark a discussion on programming methodology.<BR><BR>It seems that a lot of programs we discuss are written by following an "imperative programming" ...