Back in 2009, when yours truly was assigned the primary beat of covering supercomputing on remote hardware (then dubbed the mysterious “cloud”), the possibility that cloud-based high performance computing was little more than a pipe dream. …
Any aspirations that the Hewlett-Packard that we knew for nearly a decade and a half to build a conglomerate that resembled IBM in its own former enterprise breadth and depth of software, services, and systems is now over with the company spinning out its Enterprise Services business and focusing very tightly on its core hardware and related software businesses. …
Don’t just call it “the cloud.” Even if you think you know what cloud means, the word is fraught with too many different interpretations for too many people. …
Having access to fairly reliable 10-day forecasts is a luxury, but it comes with high computational costs for centers in the business of providing predictability. …
For those in enterprise circles who still conjure black and white images of hulking supercomputers when they hear the name “Cray,” it is worth noting that the long-standing company has done a rather successful job of shifting a critical side of its business to graph analytics and large-scale data processing. …
Accelerators and coprocessors are proliferating in the datacenter, and it has been a boon for speeding up certain kinds of workloads and, in many cases, making machine learning or simulation jobs possible at scale for the first time. …
Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. …
Over the last year, stories pointing to a bright future for deep neural networks and deep learning in general have proliferated. …
The ubiquity of the Xeon server has been a boon for datacenters and makers of IT products alike, creating an ever more powerful on which to build compute, storage, and now networking or a mix of the three all in the same box. …
Over the last year, we have focused on the role burst buffer technology might play in bolstering the I/O capabilities on some of the world’s largest machines and have focused on use cases ranging from the initial target to more application-centric goals. …
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