Add to ORKGThe proliferation of the distributed computing is due to the improved performance and increased reliability of these systems. Many parallel programming languages and related parallel programming models have become widely accepted. However, one of the major shortcomings of running parallel applications on distributed computing environments is the high communication overhead incurred.Doctor of Philosophy (SCE
Parallelizing large sized problem in parallel systems has always been a challenge for programmer. Th...
Parallel computing can take many forms. From a user's perspective, it is important to consider the a...
In this book chapter, the authors discuss some important communication issues to obtain a highly sca...
Multicomputer (distributed memory MIMD machines) have emerged as inexpensive, yet powerful parallel...
The goal of high performance computing is executing very large problems in the least amount of time,...
Since the invention of the transistor, clock frequency increase was the primary method of improving ...
The performance of a High Performance Parallel or Distributed Computation depends heavily on minimiz...
. In this paper, we describe experiments comparing the communication times for a number of different...
The computational speed of individual processors in distributed memory computers is increasing faste...
Heterogeneity is becoming quite common in distributed parallel computing systems, both in processor ...
The current trends in high performance computing show that large machines with tens of thousands of ...
In the Bulk Synchronous Parallel (or BSP) model of parallel communication represented by BSPlib, the...
The objective of this work is to compare the performance of three common environments for supporting...
The current trends in high performance computing show that large machines with tens of thousands of ...
Given the large communication overheads characteristic of modern parallel machines, optimizations th...
Parallelizing large sized problem in parallel systems has always been a challenge for programmer. Th...
Parallel computing can take many forms. From a user's perspective, it is important to consider the a...
In this book chapter, the authors discuss some important communication issues to obtain a highly sca...
Multicomputer (distributed memory MIMD machines) have emerged as inexpensive, yet powerful parallel...
The goal of high performance computing is executing very large problems in the least amount of time,...
Since the invention of the transistor, clock frequency increase was the primary method of improving ...
The performance of a High Performance Parallel or Distributed Computation depends heavily on minimiz...
. In this paper, we describe experiments comparing the communication times for a number of different...
The computational speed of individual processors in distributed memory computers is increasing faste...
Heterogeneity is becoming quite common in distributed parallel computing systems, both in processor ...
The current trends in high performance computing show that large machines with tens of thousands of ...
In the Bulk Synchronous Parallel (or BSP) model of parallel communication represented by BSPlib, the...
The objective of this work is to compare the performance of three common environments for supporting...
The current trends in high performance computing show that large machines with tens of thousands of ...
Given the large communication overheads characteristic of modern parallel machines, optimizations th...
Parallelizing large sized problem in parallel systems has always been a challenge for programmer. Th...
Parallel computing can take many forms. From a user's perspective, it is important to consider the a...
In this book chapter, the authors discuss some important communication issues to obtain a highly sca...