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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 test bed. Such an endeavor requires programming...
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, H. A forefront challenge in CI calculations is the massive size of H and its eigenvectors. The emergence of clusters equipped with non-volatile NAND-flash memory based solid state drives...
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