The Beowulf Analysis Symbolic INterface: Interactive Parallel Data Analysis for Everyone

Drexel Univ., Philadelphia, PA
Computing in Science and Engineering (Impact Factor: 1.25). 05/2009; DOI: 10.1109/MCSE.2009.39
Source: IEEE Xplore

ABSTRACT The advent of affordable parallel computers such as Beowulf PC clusters and, more recently, multicore PCs has been highly beneficial for a large number of scientists and smaller institutions that might not otherwise have access to substantial computing facilities. However, there hasn't been an analogous progress in the development and dissemination of parallel software-scientists need the expertise to develop parallel codes and must invest a significant amount of time in the development of tools even for the most common data-analysis tasks. The authors describe the Beowulf analysis symbolic interface (BASIN), a multiuser parallel data analysis and visualization framework. BASIN is aimed at providing scientists with a suite of parallel libraries for astrophysical data analysis along with general tools for data distribution and parallel operations on distributed data that lets them easily develop new parallel libraries for their specific tasks.

  • [Show abstract] [Hide abstract]
    ABSTRACT: There is a growing body of evidence that core collapse supernova explosions are inherently asymmetric. The origin of this asymmetry may arise in the first few hundred milliseconds after core collapse when the nascent shock wave is susceptible to the spherical accretion shock instability, a dynamical instability discovered through computer simulations by the SciDAC-funded Terascale Supernova Initiative. This work was followed up by large-scale 3D simulations enabled by the application of various high-performance computing technologies including networking and visualization. Recent 3D simulations have identified a vigorous non-axisymmetric mode of this supernova shock wave that can impart a significant amount of angular momentum to the underlying neutron star.
    Journal of Physics Conference Series 08/2005; 16(1):370.
  • [Show abstract] [Hide abstract]
    ABSTRACT: The combination of the Python language and the bulk synchronous parallel computing model make developing and testing parallel programs a much more pleasurable experience.
    Computing in Science and Engineering 12/2007; 9(6):82-89. · 1.25 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The cold dark matter model has become the leading theoretical picture for the formation of structure in the Universe. This model, together with the theory of cosmic inflation, makes a clear prediction for the initial conditions for structure formation and predicts that structures grow hierarchically through gravitational instability. Testing this model requires that the precise measurements delivered by galaxy surveys can be compared to robust and equally precise theoretical calculations. Here we present a simulation of the growth of dark matter structure using 2,160 3 particles, following them from redshift z = 127 to the present in a cube-shaped region 2,230 billion lightyears on a side. In postprocessing, we also follow the formation and evolution of the galaxies and quasars. We show that baryon-induced features in the initial conditions of the Universe are reflected in distorted form in the low-redshift galaxy distribution, an effect that can be used to constrain the nature of dark energy with future generations of observational surveys of galaxies. Peer Reviewed
    Nature 06/2005; · 42.35 Impact Factor


Available from