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ICCV
2001
IEEE
16 years 8 months ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum
PPOPP
2010
ACM
16 years 4 months ago
A distributed placement service for graph-structured and tree-structured data
Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant i...
Gregory Buehrer, Srinivasan Parthasarathy, Shirish...
201
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SAC
2005
ACM
16 years 7 days ago
Intelligent file management in ubiquitous environments
The paradigm of Ubiquitous computing seeks to build a computing environment that responds to user context. An ideal file system for the Ubiquitous environment is one that can succ...
Kartik Vishwanath, Arvind Gautam, Yugyung Lee
PACT
2005
Springer
16 years 5 days ago
OpenTS: An Outline of Dynamic Parallelization Approach
The paper is dedicated to an open T-system (OpenTS) — a programming system that supports automatic parallelization of computations for high-performance and distributed applicatio...
Sergey Abramov, Alexey I. Adamovich, Alexander Iny...
CLUSTER
2009
IEEE
15 years 10 months ago
24/7 Characterization of petascale I/O workloads
Abstract--Developing and tuning computational science applications to run on extreme scale systems are increasingly complicated processes. Challenges such as managing memory access...
Philip H. Carns, Robert Latham, Robert B. Ross, Ka...