26,781 research outputs found
Research in computer science
Several short summaries of the work performed during this reporting period are presented. Topics discussed in this document include: (1) resilient seeded errors via simple techniques; (2) knowledge representation for engineering design; (3) analysis of faults in a multiversion software experiment; (4) implementation of parallel programming environment; (5) symbolic execution of concurrent programs; (6) two computer graphics systems for visualization of pressure distribution and convective density particles; (7) design of a source code management system; (8) vectorizing incomplete conjugate gradient on the Cyber 203/205; (9) extensions of domain testing theory and; (10) performance analyzer for the pisces system
Numerical algorithms for finite element computations on arrays of microprocessors
The development of a multicolored successive over relaxation (SOR) program for the finite element machine is discussed. The multicolored SOR method uses a generalization of the classical Red/Black grid point ordering for the SOR method. These multicolored orderings have the advantage of allowing the SOR method to be implemented as a Jacobi method, which is ideal for arrays of processors, but still enjoy the greater rate of convergence of the SOR method. The program solves a general second order self adjoint elliptic problem on a square region with Dirichlet boundary conditions, discretized by quadratic elements on triangular regions. For this general problem and discretization, six colors are necessary for the multicolored method to operate efficiently. The specific problem that was solved using the six color program was Poisson's equation; for Poisson's equation, three colors are necessary but six may be used. In general, the number of colors needed is a function of the differential equation, the region and boundary conditions, and the particular finite element used for the discretization
Numerical algorithms for finite element computations on concurrent processors
The work of several graduate students which relate to the NASA grant is briefly summarized. One student has worked on a detailed analysis of the so-called ijk forms of Gaussian elemination and Cholesky factorization on concurrent processors. Another student has worked on the vectorization of the incomplete Cholesky conjugate method on the CYBER 205. Two more students implemented various versions of Gaussian elimination and Cholesky factorization on the FLEX/32
Research in computer science
The research efforts of University of Virginia students under a NASA sponsored program are summarized and the status of the program is reported. The research includes: testing method evaluations for N version programming; a representation scheme for modeling three dimensional objects; fault tolerant protocols for real time local area networks; performance investigation of Cyber network; XFEM implementation; and vectorizing incomplete Cholesky conjugate gradients
Research in computer science
Synopses are given for NASA supported work in computer science at the University of Virginia. Some areas of research include: error seeding as a testing method; knowledge representation for engineering design; analysis of faults in a multi-version software experiment; implementation of a parallel programming environment; two computer graphics systems for visualization of pressure distribution and convective density particles; task decomposition for multiple robot arms; vectorized incomplete conjugate gradient; and iterative methods for solving linear equations on the Flex/32
Research in computer science
Various graduate research activities in the field of computer science are reported. Among the topics discussed are: (1) failure probabilities in multi-version software; (2) Gaussian Elimination on parallel computers; (3) three dimensional Poisson solvers on parallel/vector computers; (4) automated task decomposition for multiple robot arms; (5) multi-color incomplete cholesky conjugate gradient methods on the Cyber 205; and (6) parallel implementation of iterative methods for solving linear equations
Mapping the 13CO/C18O abundance ratio in the massive star forming region G29.96-0.02
Estimating molecular abundances ratios from the direct measurement of the
emission of the molecules towards a variety of interstellar environments is
indeed very useful to advance in our understanding of the chemical evolution of
the Galaxy, and hence of the physical processes related to the chemistry. It is
necessary to increase the sample of molecular clouds, located at different
distances, in which the behavior of molecular abundance ratios, such as the
13CO/C18O ratio (X), is studied in detail. We selected the well-studied
high-mass star-forming region G29.96-0.02, located at a distance of about 6.2
kpc, which is an ideal laboratory to perform this kind of studies. To study the
X towards this region it was used 12CO J=3-2 data obtained from COHRS, 13CO and
C18O J=3-2 data from CHIMPS, and 13CO and C18O J=2-1 data retrieved from the
CDS database (observed with the IRAM 30m telescope). The distribution of column
densities and X throughout the molecular cloud was studied based on LTE and
non-LTE methods. Values of X between 1.5 to 10.5, with an average of 5, were
found, showing that, besides the dependency between X and the galactocentric
distance, the local physical conditions may strongly affect this abundance
ratio. We found that correlating the X map with the location of the ionized gas
and dark clouds allows us to suggest in which regions the far-UV radiation
stalls in dense gaseous components, and in which ones it escapes and
selectively photodissociates the C18O isotope. The non-LTE analysis shows that
the molecular gas has very different physical conditions, not only spatially
across the cloud, but also along the line of sight. This kind of studies may
represent a tool to indirectly estimate (from molecular lines observations) the
degree of photodissociation in molecular clouds, which is indeed useful to
study the chemistry in the interstellar medium.Comment: Accepted in A&A (July 10, 2018
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