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We develop a fast direct solver for parallel solution of \coarse grid" problems, Ax = b, such as arise when domain decomposition or multigrid methods are applied to elliptic partial diierential equations in d space dimensions. The approach is based upon a (quasi-) sparse factorization of the inverse of A. If the dimension of the system is n and the number(More)
We present simulations and performance results of nuclear burning fronts in supernovae on the largest domain and at the finest spatial resolution studied to date. These simulations were performed on the Intel ASCI-Red machine at Sandia National Laboratories using FLASH, a code developed at the Center for Astrophysical Thermonuclear Flashes at the University(More)
We first demonstrate the parallel performance of the dynamical core of a spectral element atmospheric model. The model uses continuous Galerkin spectral elements to discretize the surface of the Earth, coupled with finite differences in the radial direction. Results are presented from two distributed memory, mesh interconnect supercom-puters (ASCI Red and(More)
Infrastructure-as-a-service (IaaS) clouds, such as Amazon EC2, offer pay-for-use virtual resources on-demand. This allows users to outsource computation and storage when needed and create elastic computing environments that adapt to changing demand. However, existing services, such as cluster resource managers (e.g. Torque), do not include support for(More)
—This paper examines the economics of cloud computing charging from the perspective of a supercomputing resource provider offering its own resources. To evaluate the competitiveness of our computing center with cloud computing resources, we develop a comprehensive system utilization charging model similar to that used by Amazon EC2 and apply the model to(More)
Blue Gene/L uses a large number of low power processors, together with multiple integrated interconnection networks, to build a supercomputer with low cost, space and power consumption. It uses a novel system software architecture designed with application scalability in mind. However, whether real applications will scale to tens of thousands of processors(More)