In applications requiring very high throughput or which have real-time deadlines, the use of parallel processing techniques has become widespread. Although there exists potential for vast performance gains, the communication overhead inherent in such systems can significantly lessen these gains. In this paper, with tightly-coupled architectures as the platform, the static communication scheduling of messages in the network is addressed. The compile time determination of when nodes should send their messages to other nodes is what is termed static communication scheduling. In parallel systems the static scheduling of computational tasks has been studied for some time, however, an in depth analysis of our problem is very new. This paper build...
Consider a scheduling problem of parallel computations in multiprocessor systems. Let a parallel pro...
Communication overhead is one of the main factors that can limit the speedup of parallel programs on...
peer reviewedIn modern parallel and distributed systems, the time for exchanging data is usually lar...
Applications such as image processing, fluid mechanics, and geophysical data analysis are examples o...
Parallel processing techniques have become widespread in applications requiring very high throughput...
This paper presents a hybrid technique which uses known information about the required message traff...
Scheduling is an important issue in parallel processing. Most scheduling algorithms makes assigns ta...
The objective of this research is to propose a low-complexity static scheduling and allocation algor...
The objective of this research is to propose a lowcomplexity static scheduling and allocation algori...
We propose an algorithm for scheduling and allocation of parallel programs to message-passing archit...
In this paper we present several algorithms for performing all-to-many personalized communication on...
In this paper, we consider static scheduling techniques for heterogeneous systems, such as clusters ...
Consider a scheduling problem of parallel computations in multiprocessor systems. Let a parallel pro...
Most static algorithms that schedule parallel programs represented by macro dataflow graphs are sequ...
Many research activities have focused on the problem of task scheduling in heterogeneous systems fro...
Consider a scheduling problem of parallel computations in multiprocessor systems. Let a parallel pro...
Communication overhead is one of the main factors that can limit the speedup of parallel programs on...
peer reviewedIn modern parallel and distributed systems, the time for exchanging data is usually lar...
Applications such as image processing, fluid mechanics, and geophysical data analysis are examples o...
Parallel processing techniques have become widespread in applications requiring very high throughput...
This paper presents a hybrid technique which uses known information about the required message traff...
Scheduling is an important issue in parallel processing. Most scheduling algorithms makes assigns ta...
The objective of this research is to propose a low-complexity static scheduling and allocation algor...
The objective of this research is to propose a lowcomplexity static scheduling and allocation algori...
We propose an algorithm for scheduling and allocation of parallel programs to message-passing archit...
In this paper we present several algorithms for performing all-to-many personalized communication on...
In this paper, we consider static scheduling techniques for heterogeneous systems, such as clusters ...
Consider a scheduling problem of parallel computations in multiprocessor systems. Let a parallel pro...
Most static algorithms that schedule parallel programs represented by macro dataflow graphs are sequ...
Many research activities have focused on the problem of task scheduling in heterogeneous systems fro...
Consider a scheduling problem of parallel computations in multiprocessor systems. Let a parallel pro...
Communication overhead is one of the main factors that can limit the speedup of parallel programs on...
peer reviewedIn modern parallel and distributed systems, the time for exchanging data is usually lar...