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pro vyhledávání: '"Richard F. Barrett"'
Autor:
Courtenay T. Vaughan, Chris Jenkins, Stephen L. Olivier, Jeanine Cook, Omar Aaziz, Richard F. Barrett
Publikováno v:
IPDPS Workshops
A broad set of data science and engineering questions may be organized as graphs, providing a powerful means for describing relational data. Although experts now routinely compute graph algorithms on huge, unstructured graphs using high performance c
Publikováno v:
ACM Transactions on Design Automation of Electronic Systems. 22:1-26
Performance and energy are two major concerns for application development on heterogeneous platforms. It is challenging for application developers to fully exploit the performance/energy potential of heterogeneous platforms. One reason is the lack of
Publikováno v:
Concurrency and Computation: Practice and Experience. 27:5374-5389
The performance of a large-scale, production-quality science and engineering application 'app' is often dominated by a small subset of the code. Even within that subset, computational and data access patterns are often repeated, so that an even small
Publikováno v:
ROSS@HPDC
This paper describes improvements in task scheduling for the Chapel parallel programming language provided in its default on-node tasking runtime, the Qthreads library. We describe a new scheduler distrib which builds on the approaches of two previou
Autor:
Sudip S. Dosanjh, J. P. Luitjens, Simon D. Hammond, Arun Rodrigues, T. G. Trucano, Richard F. Barrett, Douglas W. Doerfler, Paul Lin, Karl Scott Hemmert, Michael A. Heroux, Kevin Pedretti
Publikováno v:
Future Generation Computer Systems. 30:46-58
The co-design of architectures and algorithms has been postulated as a strategy for achieving Exascale computing in this decade. Exascale design space exploration is prohibitively expensive, at least partially due to the size and complexity of scient
Autor:
Mahesh Rajan, K. Scott Hemmert, Paul Lin, Kevin Pedretti, Doug Doerfler, Richard F. Barrett, Courtenay T. Vaughan
Publikováno v:
Concurrency and Computation: Practice and Experience. 24:2404-2420
Multicore processors form the basis of most traditional high performance parallel processing architectures. Early experiences with these computers showed significant performance problems, both with regard to computation and inter-process communicatio
Autor:
Richard F. Barrett, Mark R. Fahey, Sadaf R. Alam, O. E. Bronson Messer, Patrick H. Worley, Jeffery A Kuehn, Jeffrey S. Vetter, Richard T. Mills, Philip C. Roth
Publikováno v:
The International Journal of High Performance Computing Applications. 22:52-80
In 2005, Oak Ridge National Laboratory (ORNL) received delivery of a 5294 processor Cray XT3. The XT3 is Cray's third-generation massively parallel processing system. The ORNL system uses a single-processor node built around the AMD Opteron and uses
Publikováno v:
IA3@SC
Graphs are widely used in data analytics applications in a variety of fields and are rapidly gaining attention in the computational scientific and engineering (CSE) application community. An important application of graphs concerns binary (executable
Publikováno v:
CLUSTER
A broad range of physical phenomena in science and engineering can be explored using finite difference and volume based application codes. Incorporating Adaptive Mesh Refinement (AMR) into these codes focuses attention on the most critical parts of a