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IPPS
1998
IEEE
15 years 4 months ago
Using the BSP Cost Model to Optimise Parallel Neural Network Training
We derive cost formulae for three di erent parallelisation techniques for training supervised networks. These formulae are parameterised by properties of the target computer archit...
R. O. Rogers, David B. Skillicorn
89
Voted
AINA
2010
IEEE
15 years 4 months ago
Minimizing Execution Costs when Using Globally Distributed Cloud Services
Cloud computing is an emerging technology that allows users to utilize on-demand computation, storage, data and services from around the world. However, Cloud service providers ch...
Suraj Pandey, Adam Barker, Kapil Kumar Gupta, Rajk...
83
Voted
IJCV
2007
179views more  IJCV 2007»
14 years 11 months ago
A Performance Study on Different Cost Aggregation Approaches Used in Real-Time Stereo Matching
Many vision applications require high-accuracy dense disparity maps in real-time and online. Due to time constraint, most real-time stereo applications rely on local winner-takes-a...
Minglun Gong, Ruigang Yang, Liang Wang 0002, Mingw...
DEXA
2005
Springer
80views Database» more  DEXA 2005»
15 years 5 months ago
Optimizing I/O Costs of Multi-dimensional Queries Using Bitmap Indices
Bitmap indices are efficient data structures for processing complex, multi-dimensional queries in data warehouse applications and scientific data analysis. For high-cardinality at...
Doron Rotem, Kurt Stockinger, Kesheng Wu
TR
2008
88views more  TR 2008»
14 years 11 months ago
Reliability Sampling Plans Under Progressive Type-I Interval Censoring Using Cost Functions
Abstract--This paper gives a reliability sampling plan for progressively type I interval censored life tests when the lifetime follows the exponential distribution. We use the maxi...
Syuan-Rong Huang, Shuo-Jye Wu