software programmers must find new programming strategies that harness the power of parallel computing. One technique that effectively takes advantage of multicore processors is data parallelism. Data ...

It is crucial for Python to provide high-performance parallelism. This talk will expose to both data-scientists and library developers the current state of affairs and the recent advances for parallel ...

GPU computing, and specifically CUDA, is designed to process massive data parallelism with huge data sets efficiently. It’s exactly the embarrassingly parallel problems that exhibit massive data ...

--(BUSINESS WIRE)--Hammerspace, the company orchestrating the next data ... the Parallel Works ACTIVE Control Plane console. By making it easier to use elastic cloud resources for burst computing ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

This online research computing specialization introduces learners to the fundamentals of high performance and parallel computing and includes big data analysis, machine learning, parallel programming, ...

For more on this topic see Using pipelining in multicore LabView and Using data parallelism in multicore LabView ... are able to prepare applications for the computing trends of the future. The ...