Abstract. Data sets in large applications are often too massive to t completely inside the computer's internal memory. The resulting input output communication or I O between ...
This paper describes a high performance sampling architecture for inference of latent topic models on a cluster of workstations. Our system is faster than previous work by over an...
In order to ease the development and maintenance of more complex P2P applications, which combine multiple P2P functionality (e.g. streaming and dependable storage), we suggest to ...
Kalman Graffi, Aleksandra Kovacevic, Song Xiao, Ra...
—Distributed file systems that use multiple servers to store data in parallel are becoming commonplace. Much work has already gone into such systems to maximize data throughput....
Nawab Ali, Ananth Devulapalli, Dennis Dalessandro,...
Many scientific applications manipulate large amount of data and, therefore, are parallelized on high-performance computing systems to take advantage of their computational power a...