November 2, 2010
Last week leading figures from the HPC and cloud realm gathered in Frankfurt, Germany, for the ISC Cloud Conference, which was organized by the same team that puts together the long-running International Supercomputing Conference each year. The conference drew leading speakers from industry and academia to discuss the challenges, benefits and future of cloud for high-performance computing. Read more…
October 29, 2010
Microsoft's Dan Reed recently explained the theoretical basis for the company's latest push to open the clouds for scientific users who require high-performance computing but who are often bound by cost constraints and the need to shed the systems maintenance overhead. Read more…
September 16, 2010
Dan Reed helps drive Microsoft’s long-term technology vision and the associated policy engagement with governments and institutions around the world. He is also responsible for the company’s R&D on parallel and extreme scale computing. In advance of his keynote at ISC Cloud in Frankfurt, Dan answers questions about the future of technical clouds and summarizes key challenges and highlights of the cloud for scientific computing. Read more…
March 12, 2009
Long-time HPC'er Dan Reed joined Microsoft to make things happen -- very big things. When Microsoft announced its Cloud Computing Futures group at a technical showcase in late February, the company tapped Reed as the man responsible for developing the infrastructure that will transform the reliability, usability and capabilities of the world's largest computational resources. 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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