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Customers of Cloud Services are expected to choose specific machine images to instantiate in order to host their workloads. Unfortunately very little information is provided to the users to enable them to make intelligent choices. We believe that as the number of images proliferates it will become increasingly difficult for users to decide effectively. Cloud service providers often allow their customers...
Strong scaling of scientific applications on parallel architectures is increasingly limited by communication latency. This paper describes the techniques used to mitigate latency in Anton, a massively parallel special-purpose machine that accelerates molecular dynamics (MD) simulations by orders of magnitude compared with the previous state of the art. Achieving this speedup required a combination...
The steady drumbeat of Cloud as a disruptive influence for Infrastructure Service Providers (ISP's) and the enablement vehicle for Software As A Service (SAAS)providers can be heard loud and clear in the industry today. In fact, Cloud is probably at the peak of the hype curve, and already there are identified challenges associated with effective deployment for business critical applications (so called...
One of the major design verification challenges in the development of Anton, a massively parallel special-purpose machine for molecular dynamics, was to provide evidence that computations spanning more than a quadrillion clock cycles will produce valid scientific results. Our verification methodology addressed this problem by using a hierarchy of RTL, architectural, and numerical simulations. Block-...
Today, many software projects are being developed by collaborating programmers working across multiple locations. Whatever the reason may be, outsourcing, organizational structure, or external collaboration, these projects often suffer from the physical separation of developing across the city, across the country, or around the world. Such distances intensify challenges such as peer communications,...
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