Zobrazeno 1 - 10
of 64
pro vyhledávání: '"David K. Lowenthal"'
Autor:
Abhinav Bhatele, Jayaraman J. Thiagarajan, Taylor Groves, Staci A. Smith, Brandon Cook, Rushil Anirudh, David K. Lowenthal
Publikováno v:
IPDPS
Performance of a parallel code running on a large supercomputer can vary significantly from one run to another even when the executable and its input parameters are left unchanged. Such variability can occur due to perturbation of the computation and
Publikováno v:
CLUSTER
Jobs on most high-performance computing (HPC) systems share the network with other concurrently executing jobs. Network sharing leads to contention that can severely degrade performance. This article investigates the use of Quality of Service (QoS) m
Autor:
Staci A. Smith, Clara E. Cromey, David K. Lowenthal, Jens Domke, Nikhil Jain, Jayaraman J. Thiagarajan, Abhinav Bhatele
Publikováno v:
SC18: International Conference for High Performance Computing, Networking, Storage and Analysis.
Autor:
Aniruddha Marathe, Bronis R. de Supinski, Barry Rountree, David K. Lowenthal, Rachel Harris, Martin Schulz
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 27:2574-2588
The use of clouds to execute high-performance computing (HPC) applications has greatly increased recently. Clouds provide several potential advantages over traditional supercomputers and in-house clusters. The most popular cloud is currently Amazon E
Publikováno v:
IPDPS Workshops
Network contention in existing high performance computing (HPC) systems increases job execution time and reduces machine throughput. This problem is expected to become worse in future systems as core counts increase and networks become larger and mor
Autor:
Torsten Wilde, Matthias Maiterth, Martin Schulz, Barry Rountree, Jonathan M. Eastep, David K. Lowenthal, Dieter Kranzlmiiller
Publikováno v:
HPCS
Power and energy consumption are seen of one of the most critical design factor for any next generation large-scale HPC system. The price centers have to pay for energy is shifting the budgets from investment to operating costs, leading to scenarios
Publikováno v:
2016 4th International Workshop on Energy Efficient Supercomputing (E2SC).
Autor:
Guy Cobb, Todd Gamblin, Bronis R. de Supinski, David K. Lowenthal, Henry M. Tufo, Martin Schulz, Barry Rountree
Publikováno v:
Parallel Computing. 39:156-166
Idioms created for debugging execution on single processors and multicore systems have been successfully scaled to thousands of processors, but there is little hope that this class of techniques can continue to be scaled out to tens of millions of co
Publikováno v:
International Journal of Parallel Programming. 41:682-703
Optimizing Message Passing Interface (MPI) point-to-point communication for large messages is of paramount importance since most communications in MPI applications are performed by such operations. Remote Direct Memory Access (RDMA) allows one-sided
Autor:
Lee Savoie, Bronis R. de Supinski, Kathryn Mohror, David K. Lowenthal, Martin Schulz, Barry Rountree, Tanzima Islam
Publikováno v:
IPDPS
Power limits on future high-performance computing (HPC) systems will constrain applications. However, HPC applications do not consume constant power over their lifetimes. Thus, applications assigned a fixed power bound may be forced to slow down duri