Zobrazeno 1 - 10
of 113
pro vyhledávání: '"R.E. Benner"'
Autor:
Karl Scott Hemmert, J. A. Ang, Arun Rodrigues, Vitus J. Leung, Daniel Burke, Che Ting Chan, Dave Donofrio, David Resnick, Simon D. Hammond, Dylan Stark, R.E. Benner, Suzanne M. Kelly, H. Le, Nicholas J. Wright, Richard F. Barrett, Didem Unat, John Shalf, Jeanine Cook
Publikováno v:
Co-HPC@SC
To achieve exascale computing, fundamental hardware architectures must change. This will significantly impact scientific applications that run on current high performance computing (HPC) systems, many of which codify years of scientific domain knowle
Autor:
R.E. Benner, S.S. Dosanjh
Publikováno v:
Computing Systems in Engineering. 3:33-42
Massively parallel (MP) computers provide increased capabilities for a wide range of engineering and physics simulations. High performance computing applications include quantum mechanics for materials modeling, charged particle beams for accelerator
Publikováno v:
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.
Autor:
R.E. Benner
Publikováno v:
Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society.
An electronic optical imaging system consisting of a computer-controlled CCD array with 576*384 detection elements and 14 bits of digitization is presented. The system is used for in-vivo characterization of laser-tissue interactions by obtaining spa
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Publikováno v:
IEEE Transactions on Electron Devices. 34:1842-1847
The feasibility of using the optical technique of Raman scattering to determine the chemical composition of cathode surfaces has been investigated. Reference Raman spectra have been obtained for many of the chemical compounds expected to be present a
Publikováno v:
Thin Solid Films. 73:353-358
Raman backscattering spectroscopy is used to characterize thin non-metallic films for applications in materials research. In situ studies of the oxidation and hot salt corrosion of iron- and nickel-based alloys demonstrate the capability of obtaining
Publikováno v:
The International Journal of Supercomputing Applications. 1:26-44
Frontal methods are an efficient and pop ular means of Gauss elimination of matrix equations that arise in finite element analysis. Nested dissection of a computa tional domain makes possible high-level parallelism in a widely used frontal algo rithm