• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 42,967
Next 10 →

LogP: Towards a Realistic Model of Parallel Computation

by David Culler , Richard Karp , David Patterson, Abhijit Sahay, Klaus Erik Schauser, Eunice Santos, Ramesh Subramonian, Thorsten von Eicken , 1993
"... A vast body of theoretical research has focused either on overly simplistic models of parallel computation, notably the PRAM, or overly specific models that have few representatives in the real world. Both kinds of models encourage exploitation of formal loopholes, rather than rewarding developme ..."
Abstract - Cited by 560 (15 self) - Add to MetaCart
A vast body of theoretical research has focused either on overly simplistic models of parallel computation, notably the PRAM, or overly specific models that have few representatives in the real world. Both kinds of models encourage exploitation of formal loopholes, rather than rewarding

The Landscape of Parallel Computing Research: A View from Berkeley

by Krste Asanovic, Ras Bodik, Bryan Christopher Catanzaro, Joseph James Gebis, Parry Husbands, Kurt Keutzer, David A. Patterson, William Lester Plishker, John Shalf, Samuel Webb Williams, Katherine A. Yelick - TECHNICAL REPORT, UC BERKELEY , 2006
"... ..."
Abstract - Cited by 487 (25 self) - Add to MetaCart
Abstract not found

Parallel Computing

by X. Cai, E. Acklam, H. P. Langtangen, A. Tveito - Typescript. University of Oslo , 2007
"... Abstract. Large-scale parallel computations are more common than ever, due to the increasing availability of multi-processor systems. However, writing parallel software is often a complicated and error-prone task. To relieve Diffpack users of the tedious and low-level technical details of parallel p ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract. Large-scale parallel computations are more common than ever, due to the increasing availability of multi-processor systems. However, writing parallel software is often a complicated and error-prone task. To relieve Diffpack users of the tedious and low-level technical details of parallel

Parallel discrete event simulation

by Richard M. Fujimoto , 1990
"... Parallel discrete event simulation (PDES), sometimes I called distributed simulation, refers to the execution of a single discrete event simulation program on a parallel computer. PDES has attracted a considerable amount of interest in recent years. From a pragmatic standpoint, this interest arises ..."
Abstract - Cited by 818 (39 self) - Add to MetaCart
Parallel discrete event simulation (PDES), sometimes I called distributed simulation, refers to the execution of a single discrete event simulation program on a parallel computer. PDES has attracted a considerable amount of interest in recent years. From a pragmatic standpoint, this interest arises

PVM: A Framework for Parallel Distributed Computing

by V. S. Sunderam - Concurrency: Practice and Experience , 1990
"... The PVM system is a programming environment for the development and execution of large concurrent or parallel applications that consist of many interacting, but relatively independent, components. It is intended to operate on a collection of heterogeneous computing elements interconnected by one or ..."
Abstract - Cited by 788 (27 self) - Add to MetaCart
The PVM system is a programming environment for the development and execution of large concurrent or parallel applications that consist of many interacting, but relatively independent, components. It is intended to operate on a collection of heterogeneous computing elements interconnected by one

Models and Languages for Parallel Computation

by David B. Skillicorn, Domenico Talia - ACM COMPUTING SURVEYS , 1998
"... We survey parallel programming models and languages using 6 criteria [:] should be easy to program, have a software development methodology, be architecture-independent, be easy to understand, guranatee performance, and provide info about the cost of programs. ... We consider programming models in ..."
Abstract - Cited by 168 (4 self) - Add to MetaCart
We survey parallel programming models and languages using 6 criteria [:] should be easy to program, have a software development methodology, be architecture-independent, be easy to understand, guranatee performance, and provide info about the cost of programs. ... We consider programming models

Parallel Computing

by Daniel S. Priece
"... The rapid rate at which technology is evolving has led to a need for more sophisticated techniques that can take full advantage of the hardware available. Traditionally, software has lagged behind hardware and there is a continuous need to maximize software performance on multiprocessor systems. Thi ..."
Abstract - Add to MetaCart
. This paper reviews the fundamentals of parallel computing with a focus on implicit, or automatic, parallelization. We discuss different software techniques as well as restrictions that arise when creating parallel code. 1.

PARALLEL COMPUTATION PLATFORM FOR SOMA

by Ivan Zelinka
"... Parallel computation, cluster, evolutionary algorithm, ..."
Abstract - Add to MetaCart
Parallel computation, cluster, evolutionary algorithm,

Parallel Computation of Multivariate Normal Probabilities

by Elise de Doncker, Alan Genz, Manuel Ciobanu
"... We present methods for the computation of multivariate normal probabilities on parallel/ distributed systems. After a transformation of the initial integral, an approximation can be obtained using Monte-Carlo or quasirandom methods. We propose a meta-algorithm for asynchronous sampling methods and d ..."
Abstract - Cited by 217 (9 self) - Add to MetaCart
We present methods for the computation of multivariate normal probabilities on parallel/ distributed systems. After a transformation of the initial integral, an approximation can be obtained using Monte-Carlo or quasirandom methods. We propose a meta-algorithm for asynchronous sampling methods

I-Structures: Data Structures for Parallel Computing

by Arvind , Rishiyur S. Nikhil, et al. , 1989
"... It is difficult to achieve elegance, efficiency and parallelism simultaneously in functional programs that manipulate large data structures. We demonstrate this through careful analysis of program examples using three common functional data-structuring approaches--- lists using Cons and arrays us ..."
Abstract - Cited by 266 (4 self) - Add to MetaCart
It is difficult to achieve elegance, efficiency and parallelism simultaneously in functional programs that manipulate large data structures. We demonstrate this through careful analysis of program examples using three common functional data-structuring approaches--- lists using Cons and arrays
Next 10 →
Results 1 - 10 of 42,967
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University