This research explores any potential for an on-chip cache compression which can reduce not only cache miss ratio but also miss penalty, if main memory is also managed in compresse...
Shark is a research data analysis system built on a novel rained distributed shared-memory abstraction. Shark marries query processing with deep data analysis, providing a unifie...
Cliff Engle, Antonio Lupher, Reynold Xin, Matei Za...
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Abstract— Network monitoring and measurement is commonly regarded as an essential function for understanding, managing and improving the performance and security of network infra...
Developing large-scale distributed applications can be a daunting task. One of the problems that application developers are confronted with is the distribution of data, processes, ...