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NOTICE: This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government, nor any agency thereof, nor any of their employees, nor any of their contractors, subcontractors, or their employees, make any warranty, express or implied, or assume any legal liability or responsibility for(More)
The PLAPACK project represents an eeort to provide an infrastructure for implementing application friendly high performance linear algebra algorithms. The package uses a more application-centric data distribution, which we call Physically Based Matrix Distribution, as well as an object based (MPI-like) style of programming. It is this style of programming(More)
Large, complex scientific and engineering application code have a significant investment in computational kernels which implement their mathematical models. Porting these computational kernels to multicore-CPU and manycore-accelerator (<i>e.g</i>., NVIDIA&#174; GPU) devices is a major challenge given the diverse programming models, application programming(More)
OBJECTIVE In this study, relationships between sleep quality and borderline personality disorder were examined using 2 self-report measures. METHOD Using a cross-sectional design in a sample of convenience of internal medicine outpatients, we surveyed men and women (N=76), aged 18 years or older, who were seeking nonemergent medical care during the period(More)
Over the past twenty years, dense linear algebra libraries have gone through three generations of public domain general purpose packages. In the seventies, the <b>first</b> generation of packages were <b>EISPACK</b> and <b>LINPACK,</b> which implemented a broad spectrum of algorithms for solving dense linear eigenproblems and dense linear systems. In the(More)
—Multicore nodes have become ubiquitous in just a few years. At the same time, writing portable parallel software for multicore nodes is extremely challenging. Widely available programming models such as OpenMP and Pthreads are not useful for devices such as graphics cards, and more flexible programming models such as RapidMind are only available(More)