Designing scientific componentsComputing in Science and Engineering - Tập 4 Số 5 - Trang 84-90 - 2002
P.F. Dubois
Correctness is more precious to scientific programmers than it is to business
programmers because of the great difficulty in distinguishing between
programming errors, errors in modeling, and errors in algorithms. We've all sat
in meetings and discussed whether a peculiar wiggle in a graph represents an
algorithm problem (such as neglecting to include a possibly negligible term) or
a modeling one ... hiện toàn bộ
#Programming profession #Open source software #Costs #Libraries #Middleware #Scientific computing #Business #Sun #Packaging #Hardware
Multi-scale geophysical modeling using the spectral element methodComputing in Science and Engineering - Tập 4 Số 5 - Trang 42-48 - 2002
M. Iskandarani, D.B. Haidvogel, J.C. Levin, E. Curchitser, C.A. Edwards
The spectral element method offers distinct advantages for geophysical
simulations, including geometric flexibility, accuracy and scalability.
Developers of atmospheric and oceanic models are capitalizing on these
properties to create new models that can accurately and effectively simulate
multi-scale flows in complex geometries.
#Geophysics computing #Solid modeling #Interpolation #Polynomials #Computational modeling #Atmospheric modeling #Concurrent computing #Computer simulation #Grid computing #Finite element methods
Parallel implementation issues: global versus local methodsComputing in Science and Engineering - Tập 4 Số 5 - Trang 26-31 - 2002
S.J. Thomas, R.D. Loft, J.M. Dennis
Spectral elements are a potential alternative to the spectral transform method
widely used in atmospheric general circulation models. A semi-implicit
formulation permits larger time steps than an explicit formulation. Thus, a
semi-implicit 3D spectral-element dynamical core should achieve high performance
levels on microprocessor-based parallel clusters and substantially accelerate
the climate sim... hiện toàn bộ
#Atmospheric modeling #Spatial resolution #Delay #Equations #Fast Fourier transforms #Concurrent computing #Distributed computing #Weather forecasting #Computational modeling #Parallel processing
Climate modeling with spherical geodesic gridsComputing in Science and Engineering - Tập 4 Số 5 - Trang 32-41 - 2002
D.A. Randall, T.D. Ringler, R.P. Heikes, P. Jones, J. Baumgardner
A new approach to climate simulation uses geodesic grids generated from an
icosahedron and could become on attractive alternative to current models. We
implemented an atmospheric general circulation model using a geodesic
discretization of the sphere. Our model uses the message-passing interface and
runs efficiently on massively parallel machines.
#Oceans #Atmospheric modeling #Computational modeling #Finite difference methods #Equations #Mesh generation #Atmosphere #Power harmonic filters #Solid modeling #Carbon dioxide
Keeneland: Bringing Heterogeneous GPU Computing to the Computational Science CommunityComputing in Science and Engineering - Tập 13 Số 5 - Trang 90-95 - 2011
Jeff Vetter, Richard Glassbrook, Jack Dongarra, Karsten Schwan, Bruce Loftis, Stephen McNally, Gunther H. Weber, James H. Rogers, Philip C. Roth, Kyle Spafford, Sudhakar Yalamanchili
Intensity-modulated radiation therapyComputing in Science and Engineering - Tập 4 Số 5 - Trang 8-9 - 2002
D.I. Lewin
Radiation therapy is a tricky business. The goal is to deliver as much radiation
as possible to a tumor while sparing nearby noncancerous tissue. A newer
approach, called intensity-modulated radiation therapy (IMRT), relaxes the
requirement for a uniform dose distribution, yet delivers the radiation more
accurately to the cancerous region. This dose distribution, created by small
beamlets that can... hiện toàn bộ
#Biomedical applications of radiation #Cancer #Medical treatment #Neoplasms #Collimators #Cities and towns #Spinal cord #Intensity modulation #Brushes
Modeling chemical constituents of the atmosphereComputing in Science and Engineering - Tập 4 Số 5 - Trang 56-63 - 2002
J. Feichter, M. Schultz, T. Diehl
Interactions between the atmosphere, ocean, ice, land surface, and the marine
and terrestrial biosphere control the global climate system. These components
are coupled by the exchange of momentum, radiative energy, and trace
constituents' mass. Various processes drive this exchange and require different
computational methods to model it.
#Atmospheric modeling #Chemicals #Atmosphere #Oceans #Land surface #Sea surface #Ice surface #Biosphere #Control systems #Electromagnetic coupling