Instruction Level Parallelism (ILP) is a way of improving the performance of a processor by executing operations simultaneously. Modern processors generally have an abundance of execution ...

Rising development costs motivate companies to design fewer systems-on-chip, but to make each one they do design more flexible and programmable. Doing so makes it possible to reuse designs to take ...

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 ...

Intel director James Reinders explains the difference between task and data parallelism, and how there is a way around the limits imposed by Amdahl's Law... I'm James Reinders, and I'm going to cover ...

Real-time scheduling of parallel tasks in multiprocessor systems is a critical field that underpins the reliability and efficiency of modern computing in applications ranging from embedded systems to ...

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, ...

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 ...

I’m James Reinders, and I’m going to cover to key concepts involved with parallelism today. They are terms that you’ll hear when you start working with parallel programming, when you start looking at ...