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 ...

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 ...

ARLINGTON, Va.--(BUSINESS WIRE)--Kinetica, the database for time and space, is now easily accessible as a service on Microsoft Azure, giving organizations real-time contextual analysis and location ...

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 ...

OpenCL, created to support parallel programming in Apple's Snow Leopard operating system, may become the new world standard for parallel programming on all platforms. Peter N. Glaskowsky is a computer ...

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 ...

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 ...

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, ...

Simulation of physical processes such as the waves in an ocean or the wake behind a boat, although similar in a number of ways, require different approaches. With current systems designed with many ...

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 ...