Parallel programming looks to level the playing field by leveraging multicore hardware. ... Ambric’s Am2045 Massively Parallel Processing Array 336-core chip is programmed using Java.

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 ...

The company is a champion of major parallel programming efforts and standards such as OpenMP [Open Multi-Processing], MPI (Message Passing Interface) and Intel’s own TBB (Threading Building ...

GitHub – Parallel program code sample. The processing is broken into 10 parts, and I've used Parallel.For to execute each part. At the end of the processing, ...

Stream processing has been used successfully for general programming, including dataflow programming, financial calculation and industrial automation, just to name a few. Furthermore, system engineers ...

One of the best features of using FPGAs for a design is the inherent parallelism. Sure, you can write software to take advantage of multiple CPUs. But with an FPGA you can enjoy massive parallelism… ...

Back in 1965, Intel cofounder Gordon Moore predicted that the semiconductor industry could double the number of transistors on a chip every 12 months (he later amended it to 24 months) for about the ...

In other words, it’s a type of parallel processing. Comparison between how (a) conventional heterogeneous computers, (b) conventional heterogeneous computers with software pipelining, and (c ...

Parallel programming lets us use resources more effectively -- such as CPU cores or communication channels. There are several good options for parallel code (including Parallel.ForEachAsync and ...

All the latest science news on parallel programming from Phys.org. Find the latest news, advancements, and breakthroughs.