Results 51 to 60 of about 307 (108)

Assessment of Simple and Alternative Bayesian Ranking Methods Utilizing Parallel Computing

, 2011
The U.S. Census Bureau (USCB) assists the federal government in distributing approximately $400 billion of aid by providing a complete ranking of the states according to certain criteria, such as average poverty level. It is imperative that this ranking
Liu, Minglei, Allen, Samantha, Wade, Derek, Albertine, April C., Kirlew, Dorothy, Raim, Andrew M., Neerchal, Nagaraj K., Obetz, Neil T., Morel, Jorge G., Klein, Martin   +9 more
core   +1 more source

Parallel Performance Studies for an Elliptic Test Problem on the Stampede2 Cluster and Comparison of Networks

, 2018
We study the parallel performance of dual-socket compute nodes with Intel Xeon Platinum 8160 Skylake CPUs with 24 cores and 192 GB of memory, connected by a 100 Gbps Intel Omni-Path (OPA) interconnect. The experimenets use the classical test problem of a
Arora, Kritesh, Barajas, Carlos, Gobbert, Matthias K.   +2 more
core   +1 more source

Investigating the Use of pMatlab to Solve the Poisson Equation on the Cluster maya

, 2014
Many physical phenomena can be described by partial differential equations which can be discretized to form systems of linear equations. We apply the finite difference method to the Poisson equation with homogeneous Dirichlet boundary conditions, which ...
Swatski, Sarah
core   +1 more source

A Comparison of Solving the Poisson Equation Using Several Numerical Methods in Matlab and Octave on the Cluster maya

, 2014
Systems of linear equations resulting from partial differential equations arise frequently in many phenomena such as heat, sound, and fluid flow.
Swatski, Sarah, Khuvis, Samuel, Gobbert, Matthias K.   +2 more
core   +1 more source

Numerical Methods for Parallel Simulation of Diffusive Pollutant Transport from a Point Source

, 2018
In an interdisciplinary project combining Atmospheric Physics, High Performance Computing, and Big Data, we explore a numerical method for solving a physical system modeled by a partial differential equation.
Sienkiewicz, Noah, Pandya, Arjun, Barajas, Carlos, Brown, Tim, Gobbert, Matthias K.   +4 more
core   +1 more source

Identifying Nonlinear Correlations in High Dimensional Data with Application to Protein Molecular Dynamics Simulations

, 2013
Complex biomolecules such as proteins can respond to changes in their environment through a process called allostery, which plays an important role in regulating the function of these biomolecules. Allostery occurs when an event at a specific location in
Bailey, William J., Raim, Andrew M., Thorpe, Ian F., Smith, Jesse D., Chambless, Claire A., Adragni, Kofi P., Cho, Brandynne M.   +6 more
core   +1 more source

Block Cyclic Distribution of Data in pbdR and its Effects on Computational Efficiency

, 2013
Programming with big data in R (pbdR), a package used to implement high-performance computing in the statistical software R, uses block cyclic distribution to organize large data across many processes. Because computations performed on large matrices are
Raim, Andrew, Kilmer, Shelby C., Neerchal, Nagaraj K., Ostrouchov, George, Thorpe, Ian F., Sass, Julian, Bachmann, Matthew G., Dyas, Ashley D., Adragni, Kofi P.   +8 more
core   +1 more source

Sampling Within k-Means Algorithm to Cluster Large Datasets

, 2011
Due to current data collection technology, our ability to gather data has surpassed our ability to analyze it. In particular, k-means, one of the simplest and fastest clustering algorithms, is ill-equipped to handle extremely large datasets on even the ...
Bejarano, Jeremy, Thomas, Anita, Adragni, Kofi, Neerchal, Nagaraj K., Ostrouchov, George, Brannan, Tyler, Bose, Koushiki   +6 more
core   +1 more source

Simulation of the Evolution of Information Content in Transcription Factor Binding Sites Using a Parallelized Genetic Algorithm

, 2011
The analysis of transcription factor binding motifs may aid in understanding the process by which transcription factors recognize their binding sites.
Forder, Robert, Cornish, Joseph, Erill, Ivan, Gobbert, Matthias K.   +3 more
core   +1 more source

Parallel Performance Studies for a Parabolic Test Problem on maya 2013

, 2014
We report parallel performance studies on the newest portion of the cluster maya in the UMBC High Performance Computing Facility (HPCF), referred to as maya 2013, for a parabolic test problem given by a time-dependent, scalar, linear reaction-diffusion ...
Graf, Jonathan, Gobbert, Matthias K.
core   +1 more source