Abstract. This paper presents PLDA, our parallel implementation of Latent Dirichlet Allocation on MPI and MapReduce. PLDA smooths out storage and computation bottlenecks and provid...
Yi Wang, Hongjie Bai, Matt Stanton, Wen-Yen Chen, ...
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...
Abstract. As data volumes processed by large-scale distributed dataintensive applications grow at high-speed, an increasing I/O pressure is put on the underlying storage service, w...
Hadoop is a reference software framework supporting the Map/Reduce programming model. It relies on the Hadoop Distributed File System (HDFS) as its primary storage system. Althoug...
Whereas traditional Desktop Grids rely on centralized servers for data management, some recent progress has been made to enable distributed, large input data, using to peer-to-peer...