The handwriting has been on the wall for some time now, but Intel has quietly dropped its 200 Gb/sec Omni-Path networking from its roadmaps and will be using other technology for interconnects going forward. …
Three months ago, The Next Platform promised a three part conversation about practical computational balance with the final part focusing on software. …
When it comes to machine learning training, people tend to focus on the compute. …
The race toward exascale supercomputing gets a lot of attention, as it should. …
In many ways, enterprises and hyperscalers have it easy. Very quickly in the wake of its announcement more than two decades ago, the Java programming language, a kind of virtualized C++, became the de facto standard for coding enterprise applications that run the business. …
Weather modeling and forecasting centers are among some of the top users of supercomputing systems and are at the top of the list when it comes to areas that could benefit from exascale-class compute power. …
At the dawn of the cloud computing revolution, the winners were determined in their ability to rule with an “iron” fist (the hardware) but over the next ten years, we will see that having an iron-fist basis for rule is far easier than ruling with nuanced, multi-layered intelligence–and it takes a special kind of leader to do that. …
There is a gentle touch of hypocrisy about the supercomputing world. …
One of the ultimate legacy high performance computing applications, Lattice QCD (quantum chromodynamics) has been adapted to run efficiently on Intel Xeon Phi coprocessors. …
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