Software Systems for Scalable Computers

Extensible, Scalable Monitoring for Clusters of Computers

We describe the CARD (Cluster Administration using Relational Databases) system for monitoring large clusters of cooperating computers. CARD scales both in capacity and in visualization to at least 150 machines, and can in principle scale far beyond that. The architecture is easily extensible to monitor new cluster software and hardware. CARD detects and automatically recovers from common fault...

Scalable Load Balancing Techniques for Parallel Computers

In this paper we analyze the scalability of a number of load balancing algorithms which can be applied to problems that have the following characteristics : the work done by a processor can be partitioned into independent work pieces; the work pieces are of highly variable sizes; and it is not possible (or very diicult) to estimate the size of total work at a given processor. Such problems requ...

Software Development for Mobile Computers

The Design of Scalable Software Libraries for Distributed Memory Concurrent Computers

This paper describes the design of ScaLAPACK, a scalable software library for performing dense and banded linear algebra computations on distribuled memory concurrent computers. The specification of the data distribution has important consequences for interprocessor communication and load balance, and hence is a major factor in determining performance arid scalability of the library routines. T...

A partition-based algorithm for clustering large-scale software systems

Clustering techniques are used to extract the structure of software for understanding, maintaining, and refactoring. In the literature, most of the proposed approaches for software clustering are divided into hierarchical algorithms and search-based techniques. In the former, clustering is a process of merging (splitting) similar (non-similar) clusters. These techniques suffered from the drawba...