—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
Sebastien Bratieres, Jurgen Van Gael, Andreas Vlac...
Clouds are emerging as an important class of distributed computational resources and are quickly becoming an integral part of production computational infrastructures. An importan...
Hyunjoo Kim, Yaakoub El Khamra, Shantenu Jha, Mani...
Grid computing has been the subject of many large national and international IT projects in the past. However, it seems that the general expectations in Grids have not come true. ...
Uwe Schwiegelshohn, Rosa M. Badia, Marian Bubak, M...
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
— We present an approach to the problem of 3D map building in urban settings for service robots, using threedimensional laser range scans as the main data input. Our system is ba...
Rafael Valencia, Ernesto Homar Teniente Avil&eacut...