Search Results - "Demmel, J."

Self-Adapting Linear Algebra Algorithms and Software by Demmel, J., Dongarra, J., Eijkhout, V., Fuentes, E., Petitet, A., Vuduc, R., Whaley, R.C., Yelick, K.

“…One of the main obstacles to the efficient solution of scientific problems is the problem of tuning software, both to the available architecture and to the…”
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Reconstructing Householder vectors from Tall-Skinny QR by Ballard, G., Demmel, J., Grigori, L., Jacquelin, M., Knight, N., Nguyen, H.D.

“…The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more…”
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ScaLAPACK: a portable linear algebra library for distributed memory computers — design issues and performance by Choi, J., Demmel, J., Dhillon, I., Dongarra, J., Ostrouchov, S., Petitet, A., Stanley, K., Walker, D., Whaley, R.C.

“…This paper outlines the content and performance of ScaLAPACK, a collection of mathematical software for linear algebra computations on distributed memory…”
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Simple Fabrication Process for Self-Aligned, High-Performance Microscanners- Demonstrated Use to Generate a 2-D Ablation Pattern by Hyuck Choo, Garmire, D., Demmel, J., Muller, R.S.

“…A new, straightforward, complementary metal-oxide-semiconductor (CMOS)-compatible, three-mask process is used to fabricate high-performance torsional…”
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Unconstrained Energy Functionals for Electronic Structure Calculations by Pfrommer, Bernd G, Demmel, James, Simon, Horst

“…The performance of conjugate gradient schemes for minimizing unconstrained energy functionals in the context of condensed matter electronic structure density…”
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On the Complexity of Computing Error Bounds by Demmel, J, Diament, B, Malajovich, G

“…We consider the cost of estimating an error bound for the computed solution of a system of linear equations, i.e., estimating the norm of a matrix inverse…”
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Minimizing polynomials via sum of squares over the gradient ideal by JIAWANG NIE, DEMMEL, James, STURMFELS, Bernd

“…A method is proposed for finding the global minimum of a multivariate polynomial via sum of squares (SOS) relaxation over its gradient variety. That variety…”
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Fast Reproducible Floating-Point Summation by Demmel, J., Hong Diep Nguyen

“…Reproducibility, i.e. getting the bitwise identical floating point results from multiple runs of the same program, is a property that many users depend on…”
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Three methods for refining estimates of invariant subspaces by DEMMEL, J. W

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On condition numbers and the distance to the nearest ill-posed problem by DEMMEL, J. W

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A counterexample for two conjectures about stability by Demmel, J.

“…One measure of the stability of a matrix A is the distance to the nearest unstable matrix B . Recently Van Loan presented an algorithm to compute B which…”
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Fast \ell1 -SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime by Murphy, M., Alley, M., Demmel, J., Keutzer, K., Vasanawala, S., Lustig, M.

“…We present l 1 -SPIRiT, a simple algorithm for auto calibrating parallel imaging (acPI) and compressed sensing (CS) that permits an efficient implementation…”
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Fast $\ell_1$-SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime by Murphy, M., Alley, M., Demmel, J., Keutzer, K., Vasanawala, S., Lustig, M.

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Accurate SVDs of weakly diagonally dominant M-matrices by DEMMEL, James, KOEV, Plamen

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Modeling and identifying bottlenecks in EOSDIS by Demmel, J., Ivory, M.Y., Smith, S.L.

“…Many parallel application areas that exploit massive parallelism, such as climate modeling, require massive storage systems for the archival and retrieval of…”
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LAPACK: a portable linear algebra library for supercomputers by Demmel, J.

“…A portable FORTRAN linear algebra library, LAPACK for efficient use on a variety of high-performance computers is discussed. The library is based on the widely…”
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Using PHiPAC to speed error back-propagation learning by Bilmes, J., Asanovic, K., Chee-Whye Chin, Demmel, J.

“…We introduce PHiPAC, a coding methodology for developing portable high-performance numerical libraries in ANSI C. Using this methodology, we have developed…”
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Computing the singular value decomposition with high relative accuracy by Demmel, James, Gu, Ming, Eisenstat, Stanley, Slapničar, Ivan, Veselić, Krešimir, Drmač, Zlatko

“…We analyze when it is possible to compute the singular values and singular vectors of a matrix with high relative accuracy. This means that each computed…”
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Addressing the needs of complex MEMS design by Clark, J.V., Bindel, D., Kao, W., Zhu, E., Kuo, A., Zhou, N., Nie, J., Demmel, J., Bai, Z., Govindjee, S., Pister, K.S.J., Gu, M., Agogino, A.

“…In this paper, we report several advances in the Sugar2.0 MEMS system simulation package, including reduced-order modeling techniques, simple hierarchical…”
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Faster numerical algorithms via exception handling by Demmel, J.W., Xiaoye Li

“…An attractive paradigm for building fast numerical algorithms is the following: 1) try a fast but occasionally unstable algorithm, 2) test the accuracy of the…”
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