We present a case study parallelizing streaming aggregation on three different parallel hardware architectures. Aggregation is a performance-critical operation for data summarizat...
Scott Schneider, Henrique Andrade, Bugra Gedik, Ku...
Within a long-term distributed systems project we repeatedly stumbled across the well-known yet difficult question to either implement from scratch or comprehend and adapt existin...
—In this paper we present ¼heckmate, a generic static analyzer of Java multithreaded programs based on the interpretation theory. It supports all the most relevant features of J...
Hybrid chip multithreaded SMPs present new challenges as well as new opportunities to maximize performance. Our intention is to discover the optimal operating configuration of suc...
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...