AMD is hosting its “Next Horizon” datacenter event in San Francisco this week, and archrival Intel, which is losing some market share to AMD but not feeling the pain on its books yet thanks to a massive buildout in server infrastructure at hyperscalers, cloud builders, and smaller service providers like telcos, is hitting back by divulging some of its plans for next year’s “Cascade Lake” Xeon lineup. …
If you want to understand where we are going with computer architectures and the compilers that drive them, it is instructive to look at how compilers have made the leap from architecture to architecture starting six decades ago. …
The Ohio Supercomputer Center’s mission to supply supercomputing capabilities to educational institutions and companies throughout the state is about to get a significant boost in the form of a powerful and highly-efficient cluster based on Dell EMC servers and leveraging liquid-cooling technology from CoolIT. …
Computing power and big data are fundamental to the bioinformatic research being carried out by the Leadership Computing Facility at the Oak Ridge National Laboratory (ORNL) in Tennessee. …
While processors and now GPUs tend to get all of the glory when it comes to high performance computing, for the past three decades as distributed computing architectures became the norm in supercomputing, it has been the interconnects that made all the difference in how well – or poorly – these systems perform. …
For the past five years, supercomputer maker Cray has been diligently at work not only creating a new system architecture that allows for a mix of different interconnects and compute for its future “Shasta” systems, but has also brought long-time Cray chief technology officer, Steve Scott, back into the company after two stints spent at Nvidia and Google to create a new interconnect, called “Slingshot,” that is the beating heart of the Shasta system and that signals a return of the Cray that we know and love. …
There are two key barriers to fully exploring the emerging use of Field Programmable Gate Arrays (FPGAs) at the scale found in data centers: capital investment for private equipment, and gaining full, unfettered access to shared equipment. …
The rise in interest in deep learning chips for training and inference has reignited interest in how reduced precision compute can cut down on energy, bandwidth, and other constraints inherent to double-precision. …
It has been a long time since Europe has had indigenous suppliers of the core components that go into high performance computing systems. …
Recognizing that the most important application of machine learning in HPC is to replace production numerical simulation models with machine learning approximations, one European organization is pushing these frontiers with innovative AI HPC research. …
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