A processor pool is a homogeneous collection of processors that are used for computationally intensive tasks, such as parallel programs. Processor pools are far less expensive than multicomputers and more convenient to use than collections of idle workstations. This paper gives a case study in parallel programming on a processor pool with 80 SPARCS connected by an Ethernet, running the Amoeba distributed operating system. We use a realistic application (N-body simulation of water molecules) and show that a good performance can be obtained. We measured a speedup of 72 on 80 processors. 1 Introduction Networks of idle workstations are often used for running parallel applications. Many institutes have a distributed computing system consisting...
The benefits of distributing a network simulation depend on characteristics of the simulated network...
The O(N) hierarchical N-body algorithms and Massively Parallel Processors allow particle systems of ...
In this paper, we examine the utility of exploiting idle workstations for parallel computation. We a...
this article Download to Citation Manager Collections under which this unparallelizable to be perfor...
Parallel computer programs are used to speed up the calculation of computationally-demanding scienti...
This work considers the organization and performance of computations on parallel computers of tree...
Abstract:-This research presents a parallel simulation technique for large-scale or complex problems...
This paper describes the parallelization of the Mermaid multicomputer simulation environment. Due to...
Many computations in biomedical research such as simulations, bootstrapping, database searches (such...
The objective of this work is to speed up computation of interactions between atoms of water, which ...
We have built clusters of PC using up to 320 processors in parallel. The first cluster was built in...
[[abstract]]In recent years, it has gradually become popular to use discrete-event simulation as a t...
O(N) algorithms for N-body simulations enable the simulation of particle systems with up to 100 mill...
In this thesis we propose a distributed-memory parallel-computer simulation system called PUPPET (Pe...
Using Amdahl’s law as a metric, the authors illustrate a technique for developing efficient code on ...
The benefits of distributing a network simulation depend on characteristics of the simulated network...
The O(N) hierarchical N-body algorithms and Massively Parallel Processors allow particle systems of ...
In this paper, we examine the utility of exploiting idle workstations for parallel computation. We a...
this article Download to Citation Manager Collections under which this unparallelizable to be perfor...
Parallel computer programs are used to speed up the calculation of computationally-demanding scienti...
This work considers the organization and performance of computations on parallel computers of tree...
Abstract:-This research presents a parallel simulation technique for large-scale or complex problems...
This paper describes the parallelization of the Mermaid multicomputer simulation environment. Due to...
Many computations in biomedical research such as simulations, bootstrapping, database searches (such...
The objective of this work is to speed up computation of interactions between atoms of water, which ...
We have built clusters of PC using up to 320 processors in parallel. The first cluster was built in...
[[abstract]]In recent years, it has gradually become popular to use discrete-event simulation as a t...
O(N) algorithms for N-body simulations enable the simulation of particle systems with up to 100 mill...
In this thesis we propose a distributed-memory parallel-computer simulation system called PUPPET (Pe...
Using Amdahl’s law as a metric, the authors illustrate a technique for developing efficient code on ...
The benefits of distributing a network simulation depend on characteristics of the simulated network...
The O(N) hierarchical N-body algorithms and Massively Parallel Processors allow particle systems of ...
In this paper, we examine the utility of exploiting idle workstations for parallel computation. We a...