Zobrazeno 1 - 8
of 8
pro vyhledávání: '"James R. McCombs"'
Autor:
Xiaoran Yan, Chathuri Peli Kankanamalage, Ben Serrette, James R. McCombs, Guangchen Ruan, Valentin Pentchev, Alan Walsh, Matthew Hutchinson, Dimitar Nikolov, Esen Tuna
Publikováno v:
CIKM
Large bibliographic data sets hold the promise of revolutionizing the scientific enterprise when combined with state-of-the-science computational capabilities. Providing high-quality data services for large network datasets such as the Microsoft Acad
Autor:
James R. McCombs, Scott Michael
Publikováno v:
PEARC
We present performance results obtained with a new single-node performance benchmark of the R programming environment on the many-core Xeon Phi Knights Landing and standard Xeon-based compute nodes of the Stampede supercomputer cluster at the Texas A
Autor:
Andreas Stathopoulos, James R. McCombs
Publikováno v:
ACM Transactions on Mathematical Software. 37:1-30
This article describes the PRIMME software package for solving large, sparse Hermitian standard eigenvalue problems. The difficulty and importance of these problems have increased over the years, necessitating the use of preconditioning and near opti
Autor:
Andreas Stathopoulos, James R. McCombs
Publikováno v:
SIAM Journal on Scientific Computing. 29:2162-2188
Autor:
Andreas Stathopoulos, James R. McCombs
Publikováno v:
SIAM Journal on Scientific Computing. 28:2337-2358
Iterative eigenvalue solvers for large, sparse matrices may miss some of the required eigenvalues that are of high algebraic multiplicity or tightly clustered. Block methods, locking, a posteriori validation, or simply increasing the required accurac
Parallel, multigrain iterative solvers for hiding network latencies on MPPs and networks of clusters
Autor:
Andreas Stathopoulos, James R. McCombs
Publikováno v:
Parallel Computing. 29:1237-1259
Parallel iterative solvers are often the only means of solving large linear systems and eigenproblems. However, these solvers are usually implemented in a fine-grain manner and can incur significant performance penalties due to synchronization overhe
Autor:
James R. McCombs, Trond Jorgensen
Publikováno v:
SPIE Proceedings.
Any implementation of a real-time tracking system is subject to capacity constraints in terms of how many measurements or tracks that can be processed per unit time. This paper addresses the problem of selecting which measurements or tracks should be
Autor:
Andreas Stathopoulos, James R. McCombs
Publikováno v:
HPDC
Clusters of workstations have become a cost-effective means of performing scientific computations. However, large network latencies, resource sharing, and heterogeneity found in networks of clusters and Grids can impede the performance of application