𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Distributed image processing over an adaptive Campus Grid

✍ Scribed by Simon J. Caton; Omer F. Rana; Bruce G. Batchelor

Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
203 KB
Volume
21
Category
Article
ISSN
1532-0626

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

A system implemented in MATLAB is described, which may be deployed over a Campus Grid utilizing the Condor job management system. Our approach can re‐distribute jobs as node availability changes. The architecture of the system, its components, and their deployment across the Cardiff University Campus Grid (consisting of 2500 machines) are presented. Challenges in image processing applications that can be deployed over such infrastructure are presented, along with performance results that demonstrate the use of our system alongside a standard Condor deployment, demonstrating a significant increase in throughput using our approach‑. Copyright Β© 2008 John Wiley & Sons, Ltd.

πŸ“œ SIMILAR VOLUMES

Distributed snow process modelling: An i
Distributed snow process modelling: An image processing approach
✍ Robert E. Davis; Judy Ceretha McKenzie; Rachel Jordan πŸ“‚ Article πŸ“… 1995 πŸ› John Wiley and Sons 🌐 English βš– 937 KB

An approach to spatially distribute a snow process model by segmenting images of land cover, terrain and snow properties is reported. A small 1.7 ha study area with an existing database was selected for this preliminary evaluation. The methodology was carried out over a relatively flat valley bottom

An Adaptive Finite Element Method for La
An Adaptive Finite Element Method for Large Scale Image Processing
✍ T. Preußer; M. Rumpf πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 596 KB

Nonlinear diffusion methods have proved to be powerful methods in the processing of 2D and 3D images. They allow a denoising and smoothing of image intensities while retaining and enhancing edges. As time evolves in the corresponding process, a scale of successively coarser image details is generate