Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Current systems for managing workload on clusters of workstations, particularly those available for Linux-based (Beowulf) clusters, are typically based on traditional process-base...
Daniel Andresen, Nathan Schopf, Ethan Bowker, Timo...
— It is well-understood that increasing redundancy in a system generally improves the availability and dependability of the system. In server clusters, one important form of redu...
We present a novel multiscale clustering algorithm inspired by algebraic multigrid techniques. Our method begins with assembling data points according to local similarities. It us...
Traditional parallel programming styles have many problems which hinder the development of parallel applications. The message passing style can be too complex for many programmers...