In practice, parallel processing can be one of two things, says Jim McGregor, principal analyst at TIRIAS Research. It can be “the ability to run multiple tasks in parallel, such as multiple data ...

In the ever-expanding realm of data processing and analytics, two heavyweight contenders − massively parallel processing (MPP) and big data − have been vying for dominance.. Each brings its ...

Subjects tended to be more accurate in the one-image condition (90.4%) than with dual images (86.7%). This accuracy decrease was predicted by a simple parallel model of processing in which each of ...

Parallel processing improvements have also been reported through hybrid CPU/GPU algorithms that intelligently balance the computational load between host and device, leading to significant ...

Pocl employs LLVM’s Clang front end to take in C code that uses the OpenCL standard. Version 0.14 works with both LLVM 3.9 and the recently released LLVM 4.0.It also offers a new binary format ...

To many, Big Data goes hand-in-hand with Hadoop + MapReduce. But MPP (Massively Parallel Processing) and data warehouse appliances are Big Data technologies too. The MapReduce and MPP worlds have ...

In the longer term, as I've blogged previously, the game plan is to find a way to exorcise Win32 from Windows and replace it with managed code-- preferably a set of programming interfaces that are ...