Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Management of large-scale Network-Centric Systems (NCS) and their applications is an extremely complex and challenging task due to factors such as centralized management architect...
With the advent of chip-multiprocessors, we are faced with the challenge of parallelizing performance-critical software. Transactional memory (TM) has emerged as a promising progr...
Marek Olszewski, Jeremy Cutler, J. Gregory Steffan
Clusters of commodity machines have become a popular way of building cheap high performance parallel computers. Many of these designs rely on standard Ethernet networks as a syste...
Francis Vaughan, Duncan A. Grove, Paul D. Coddingt...
Data prefetching has been widely used in the past as a technique for hiding memory access latencies. However, data prefetching in multi-threaded applications running on chip multi...
Dhruva Chakrabarti, Mahmut T. Kandemir, Mustafa Ka...