March 23, 2017
“Strategies in Biomedical Data Science: Driving Force for Innovation” by Jay A. Etchings is both an introductory text and a field guide for anyone working with biomedical data. Read more…
May 25, 2016
HPE continues its development into an entity of still-evolving form with the announced spin-off of its enterprise services unit, which will be merged with CSC, in what the two companies expect to be a $26 billion “pure-play” IT services organization. The move is in keeping with the recent history of the iconic Silicon Valley company, following the 2014 split of the old Hewlett Packard into Hewlett Packard Enterprise (HPE – servers, cloud computing and other “enterprise units, along with HPC) and HP Inc. (PCs and printers). Read more…
June 14, 2013
For all the progress we've made in IT over the last 50 years, there's one area of life that has steadfastly eluded the grasp of computers: understanding human language. Now, researchers at the Texas Advanced Computing Center (TACC) are utilizing a Hadoop cluster on its Longhorn supercomputer to move the state of the art of language processing a little bit further. Read more…
December 11, 2012
Automatic spending cuts would take a bite out of government-funded research. Read more…
Whether an organization chooses a cloud for general business needs or a highly tailored workload, the spectrum of offerings and configurations can be overwhelming. To help you navigate the various cloud options available today, we're breaking down your options, exploring pros and cons, and sharing ways to keep your options open and your business agile as you execute your cloud strategy.
Researchers in academic labs and commercial R&D groups continue to need more compute capacity, which means leveraging the latest innovations in HPC technologies as well as an assortment of resources to meet the unique needs of different workloads. Increasingly, systems based on Arm processors are stepping into that role, offering low power consumption and strategic advantages for HPC workloads.
Whether it's for fraud detection, personalized medicine, manufacturing, smart cities, autonomous vehicles and many other areas, advanced-scale computing has exploded beyond the realm of academia and government and into the private sector. And with data-intensive workloads on the rise, commercial users are turning to HPC-based infrastructure to run the AI, ML and cognitive computing applications that their organizations depend on.
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