July 16, 2012
Cloud, as an abstraction, represents a flexible, ubiquitous and consistent platform accessible from anywhere at any time. Last week, the International Workshop on Clouds for Business and Business for Clouds provided the perfect meeting point for both industry and academia to explore the truth of this statement and further discuss how organizations can benefit from the myriad of available cloud models. Read more…
August 18, 2011
A recent DOE workshop that focused on exascale challenges and current gaps in research and ideology provided food for thought for those seeking a "disruptive" approach to this next level of computing. We highlight a handful of the presentations, delivered by some of the most noteworthy researchers and practitioners in the field. Read more…
December 16, 2009
Online, at conferences and in theory, manycore processors and the use of accelerators such as GPUs and FPGAs are being viewed as the next big revolution in high performance computing. If they can live up to the potential, these accelerators could someday transform how computational science is performed, providing much more computing power and energy efficiency. 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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