With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
In this paper, we study the effectiveness of the multilevel paradigm in considerably reducing the diagnosis latency of distributed algorithms for fault detection in networks with ...
Software fine-grain distributed shared memory (FGDSM) provides a simplified shared-memory programming interface with minimal or no hardware support. Originally software FGDSMs tar...
Ioannis Schoinas, Babak Falsafi, Mark D. Hill, Jam...
Abstract. This paper introduces ThreadMill - a distributed and parallel component architecture for applications that process large volumes of streamed (time-sequenced) data, such a...
Abstract. As an alternative to message passing, Rochester's InterWeave system allows the programmer to map shared segments into programs spread across heterogeneous, distribut...