A methodology is presented for estimating the total execution time of loosely coupled parallel processing applications. The single node gather problem is considered as the communication primitive. The derived model is verified and illustrated on an image processing application with a network of transputers connected as a ternary tree. The expected execution times obtained by the model are validated experimentally and the model is then used to estimate the performance of the system with larger transputer networks
Many parallel algorithm design models have been proposed for abstracting a large class of parallel a...
Abstract-The problem of obtaining optimal processing time in a distributed computing system consisti...
Abstract:-This paper presents a queueing model to measure the performance of parallel processing net...
The problem of statically estimating the execution time distribution for a task graph consisting of ...
This paper describes a generic model for performance estimation of low (i.e. pixel) level image proc...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
Many applications from scientific computing and physical simulations can benefit from a mixed task a...
Many image processing algorithms have a very high execution time if only a processor is used for pro...
Using a cluster of networked workstations as an inexpensive parallel computational platform is an ap...
The mapping problem has been studied extensively and many algorithms have been proposed. However, un...
Concurrent computing on networks of distributed computers has gained tremendous attention and popula...
Previous work on the analysis of execution time of parallel algorithms has either largely ignored co...
Evaluating Latency of Distributed Algorithms Using Petri Nets N. Sergent The time it takes to a dist...
In this paper, we analyze restrictions of traditional communication performance models affecting the...
The problem of obtaining optimal processing time in a distributed computing system consisting of (N+...
Many parallel algorithm design models have been proposed for abstracting a large class of parallel a...
Abstract-The problem of obtaining optimal processing time in a distributed computing system consisti...
Abstract:-This paper presents a queueing model to measure the performance of parallel processing net...
The problem of statically estimating the execution time distribution for a task graph consisting of ...
This paper describes a generic model for performance estimation of low (i.e. pixel) level image proc...
We address the problem of performance prediction for parallel programs executed on clusters of heter...
Many applications from scientific computing and physical simulations can benefit from a mixed task a...
Many image processing algorithms have a very high execution time if only a processor is used for pro...
Using a cluster of networked workstations as an inexpensive parallel computational platform is an ap...
The mapping problem has been studied extensively and many algorithms have been proposed. However, un...
Concurrent computing on networks of distributed computers has gained tremendous attention and popula...
Previous work on the analysis of execution time of parallel algorithms has either largely ignored co...
Evaluating Latency of Distributed Algorithms Using Petri Nets N. Sergent The time it takes to a dist...
In this paper, we analyze restrictions of traditional communication performance models affecting the...
The problem of obtaining optimal processing time in a distributed computing system consisting of (N+...
Many parallel algorithm design models have been proposed for abstracting a large class of parallel a...
Abstract-The problem of obtaining optimal processing time in a distributed computing system consisti...
Abstract:-This paper presents a queueing model to measure the performance of parallel processing net...