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IPPS
2007
IEEE
16 years 15 days ago
Challenges in Executing Data Intensive Biometric Workloads on a Desktop Grid
Desktop grids have traditionally focused on executing computation intensive workloads. Can they also be used to execute data-intensive workloads? To answer this question, we prese...
Christopher Moretti, Timothy C. Faltemier, Douglas...
EAGC
2003
Springer
15 years 11 months ago
Performance Prediction in a Grid Environment
Abstract. Knowing the performance of an application in a Grid environment is an important issue in application development and for scheduling decisions. In this paper we describe t...
Rosa M. Badia, Francesc Escalé, Edgar Gabri...
CCGRID
2007
IEEE
15 years 6 months ago
A Distributed Query Execution Engine in a Grid Environment
Grid is a computational environment in which applications can use multiple distributed computational resources in a safe, coordinated, efficient and transparent way. Data Integra...
Gustavo G. Trevisol, Cristiano Biancardi, Á...
COMPUTING
2006
119views more  COMPUTING 2006»
15 years 6 months ago
Sparse Grids, Adaptivity, and Symmetry
Sparse grid methods represent a powerful and efficient technique for the representation and approximation of functions and particularly the solutions of partial differential equat...
Harry Yserentant
PODS
2012
ACM
240views Database» more  PODS 2012»
13 years 8 months ago
Approximate computation and implicit regularization for very large-scale data analysis
Database theory and database practice are typically the domain of computer scientists who adopt what may be termed an algorithmic perspective on their data. This perspective is ve...
Michael W. Mahoney