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, ...

The first one I’ll go over today is task and data parallelism. What are they and what do they mean and then I’ll finish with talking a bit about Amdahl’s Law. Amdahl’s law is a very interesting ...

New data technologies are continually arriving these days. Among the latest entrants are GPU databases. Often associated with graph data processing tasks, these databases tap into the power of the GPU ...

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 ...

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 ...