Data parallelism is an approach towards parallel processing that depends on being able to break up data between multiple compute units (which could be cores in a processor, processors in a computer, ...

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As hardware designers turn toward multicore processors to improve computing power, software programmers must find new programming strategies that harness the power of parallel computing. One technique ...

When I wrote about password guessing using GPUs last week, I mentioned that password guessing is an embarrassingly parallel problem, right up there with 3-D rendering, face recognition, Monte Carlo ...

This application note presents the process of converting a serial output into parallel output using common serial-to-parallel register integrated circuits. The document also discussed the CS556x/7x/8x ...

Multi-core processors theoretically can run many threads of code in parallel, but some categories of operation currently bog down attempts to raise overall performance by parallelizing computing. Is ...

Open source data integration vendor Talend is planning to release a master data management product by the end of the year, as well as to offer a massively parallel processing architecture in current ...