Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
42,967
LogP: Towards a Realistic Model of Parallel Computation
, 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
- TECHNICAL REPORT, UC BERKELEY
, 2006
"... ..."
Parallel Computing
- 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
, 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
- 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
- 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
"... 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
"... Parallel computation, cluster, evolutionary algorithm, ..."
Parallel Computation of Multivariate Normal Probabilities
"... 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
, 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
Results 1 - 10
of
42,967
