Parallel Programming Approaches for Accelerated Systems Compared
In high performance computing, machine learning, and a growing set of other application areas, accelerated, heterogeneous systems are becoming the norm. …
In high performance computing, machine learning, and a growing set of other application areas, accelerated, heterogeneous systems are becoming the norm. …
For a long time now, researchers have been working on automating the process of breaking up otherwise single-threaded code to run on multiple processors by way of multiple threads. …
In the prior two articles in this series (What Is SMP Without Shared Memory? …
This is the second in the series on the essentials of multiprocessor programming. …
One near constant that you have been seeing in the pages of The Next Platform is that the downside of having a slowing rate at which the speed of new processors is increasing is offset by the upside of having a lot more processing elements in a device. …
Systems built from commodity hardware such as servers, desktops and laptops often contain so-called general-purpose processors (CPUs)—processors that specialize in doing many different things reasonably well. …
With the International Supercomputing 2016 conference fast approaching, the HPC community is champing at the bit to share insights on the latest technologies and techniques to make simulation and modeling applications scale further and run faster. …
Although there will be some meaty hardware and systems news in high performance computing over the course of 2016, this will be the year that programming models for HPC systems take center stage, especially as large supercomputing sites prepare for their first waves of pre-exascale machines. …
The choice of programming tools and programming models is a deeply personal thing to a lot of the techies in the high performance computing space, much as it can be in other areas of the IT sector. …
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