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» Distributed Data Structure Design for Scientific Computation
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TCSV
2010
15 years 1 months ago
High Performance Stereo Vision Designed for Massively Data Parallel Platforms
Abstract--Real-time stereo vision is attractive in many applications like robot navigation and 3D scene reconstruction. Data parallel platforms, e.g. GPU, is often used for real-ti...
Wei Yu, Tsuhan Chen, Franz Franchetti, James C. Ho...
EDOC
2003
IEEE
15 years 11 months ago
An Efficient, Scalable Content-Based Messaging System
Large-scale information processing environments must rapidly search through massive streams of raw data to locate useful information. These data streams contain textual and numeri...
Ian Gorton, Justin Almquist, Nick Cramer, Jereme H...
IPPS
2006
IEEE
16 years 13 days ago
Lossless compression for large scale cluster logs
The growing computational and storage needs of several scientific applications mandate the deployment of extreme-scale parallel machines, such as IBM’s Blue Gene/L which can acc...
R. Balakrishnan, Ramendra K. Sahoo
JSA
2008
108views more  JSA 2008»
15 years 6 months ago
A methodology to design arbitrary failure detectors for distributed protocols
Nowadays, there are many protocols able to cope with process crashes, but, unfortunately, a process crash represents only a particular faulty behavior. Handling tougher failures (...
Roberto Baldoni, Jean-Michel Hélary, Sara T...
SCANGIS
2003
15 years 7 months ago
Concurrency Control in Distributed Geographical Database Systems
Abstract. This paper discusses concurrency control in distributed geographical database systems. A geographic data server providing transactional services must be designed to handl...
Gjermund Hanssen