Funded under the European Commission's IST programme, the POP project focused on generating an environment to allow applications designed using the OpenMP Application Program Interface (API) to ...

Complex, computational work with huge sets of data is now common practice in fields such as genomics, economics, and astrophysics. Researchers in these and similarly data intensive fields depend on ...

Large-scale digital transformation and omnichannel customer engagement applications require an unprecedented level of performance, including the ability to ingest and analyze data from multiple ...

As readers of The Next Platform are well aware, Hewlett Packard Enterprise is staking a lot of the future of its systems business on The Machine, which embodies the evolving concepts for disaggregated ...

One of the key challenges in chip multi-processing is to provide a programming model that manages cache coherency in a transparent and efficient way. A large number of applications designed for ...

Editor's Note: Multicore architectures find use across a diverse range of applications thanks to their performance and efficiency. By combining several general-purpose MCU cores — or MCU cores and ...

This is the second in the series on the essentials of multiprocessor programming. This time around we are going to look at some of the normally little considered effects of having memory being shared ...

In the IT industry, hybrid computing has become a game-changer, combining the advantages of various computational models to solve challenging issues with previously unheard-of efficiency. Hybrid ...