October 19, 2010
Last week at their eScience Workshop at the University of California, Berkeley Microsoft Research announced two key technological progress points related to their Azure cloud. The advancements are currently serving researchers in ecological studies as well as biology and further demonstrate the potential of their cloud offering in further scientific computing projects. Read more…
August 19, 2010
There’s Apache’s Hadoop, there’s Google’s MapReduce, and in case it slipped completely off your radar, there is also Microsoft’s solution called Dryad—something that has all but disappeared from conversations until news this week that it would be coming out of hiding and to a paralllel programmer near you. Read more…
July 13, 2010
The Universe might be expanding, but at least it's getting easier to see. On Monday, at the annual Microsoft Research Faculty Summit, the software maker unveiled the largest and clearest image of the night sky ever assembled. This so-called "TeraPixel" sky map was generated with the help of some of Microsoft's latest HPC and parallel software assets. Read more…
May 7, 2010
Microsoft Research is simplifying applications written to work with a small amount of data hosted on a local client machine to data center scale, running it on HPC clusters or in a public cloud 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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