Recent research shows that the high occupancy of Coherence Controllers (CCs) is a major performance bottleneck in scalable shared-memory multiprocessors. In this paper, we propose...
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
This paper presents a data oriented approach to modeling the complex computing systems, in which an ensemble of correlation models are discovered to represent the system status. I...
The emergence of portable computers and wireless technologies has introduced new challenges for middleware. Mobility brings new requirements and is becoming a key characteristic. M...