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 ...

In the task-parallel model represented by OpenMP, the user specifies the distribution of iterations among processors and then the data travels to the computations. In data-parallel programming, the ...

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 ...

Intel's James Reinders is an expert on parallelism; his most recent book covered the C++ extensions for parallelism provided by Intel Threaded Building Blocks. He's also the Director of Marketing and ...

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the next data cycle, and Parallel Works, provider of the ACTIVATE control plane for AI and HPC resources, today unveiled a ...

One of the things to avoid when it comes to parallelism is working with raw threads. Abstraction offers a way around the issue, by avoiding the need to deal with low-level details of parallel systems, ...

Over at Inside Analysis, Robin Bloor writes that the move to parallelism was the motive force for Big Data. Moore’s Law got deflected in 2004, when it became no longer practical to ramp up the clock ...