161 search results - page 21 / 33 » GCA: A Massively Parallel Model |
80
Voted
GRAPHICSINTERFACE
2009
14 years 7 months ago
2009
We present a simple and efficient method for reconstructing triangulated surfaces from massive oriented point sample datasets. The method combines streaming and parallelization, m...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
CLUSTER
2009
IEEE
14 years 7 months ago
2009
IEEE
With the advent of high-performance COTS clusters, there is a need for a simple, scalable and faulttolerant parallel programming and execution paradigm. In this paper, we show that...
79
Voted
ICPP
2009
IEEE
15 years 4 months ago
2009
IEEE
—In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogeneous at multiple levels: from asymmetric processors, to different system archi...
ICDE
2010
IEEE
15 years 1 months ago
2010
IEEE
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...