Pieter Maris

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—The emergence of high performance computing (HPC) platforms equipped with solid state drives (SSD) presents an opportunity to dramatically increase the efficiency of out-of-core numerical linear algebra computations. In this paper, we explore the advantages and challenges associated with performing sparse matrix vector multiplications (SpMV) on a small SSD(More)
The UNEDF project was a large-scale collaborative effort that applied high-performance computing to the nuclear quantum many-body problem. UNEDF demonstrated that close associations among nuclear physicists, mathematicians , and computer scientists can lead to novel physics outcomes built on algorithmic innovations and computational developments. This(More)
—Obtaining highly accurate predictions on properties of light atomic nuclei using the Configuration Interaction (CI) approach requires computing few extremal eigenpairs of a large many-body nuclear Hamiltonian matrix, ˆ H. A forefront challenge in CI calculations is the massive size ofˆH and its eigenvectors. The emergence of clusters equipped with(More)