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» Power scalable processing using distributed arithmetic
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CVPR
2005
IEEE
15 years 3 months ago
The Distinctiveness, Detectability, and Robustness of Local Image Features
We introduce a new method that characterizes typical local image features (e.g., SIFT [9], phase feature [3]) in terms of their distinctiveness, detectability, and robustness to i...
Gustavo Carneiro, Allan D. Jepson
PPAM
2005
Springer
15 years 3 months ago
A Web Computing Environment for Parallel Algorithms in Java
We present a web computing library (PUBWCL) in Java that allows to execute tightly coupled, massively parallel algorithms in the bulk-synchronous (BSP) style on PCs distributed ove...
Olaf Bonorden, Joachim Gehweiler, Friedhelm Meyer ...
DASFAA
2007
IEEE
165views Database» more  DASFAA 2007»
15 years 1 months ago
Making the Most of Cache Groups
Cache groups are a powerful concept for database caching, which is used to relieve the backend database load and to keep referenced data close to the application programs at the &q...
Andreas Bühmann, Theo Härder
CLUSTER
2009
IEEE
15 years 4 months ago
Analyzing massive astrophysical datasets: Can Pig/Hadoop or a relational DBMS help?
Abstract— As the datasets used to fuel modern scientific discovery grow increasingly large, they become increasingly difficult to manage using conventional software. Parallel d...
Sarah Loebman, Dylan Nunley, YongChul Kwon, Bill H...
CONEXT
2009
ACM
14 years 11 months ago
BUFFALO: bloom filter forwarding architecture for large organizations
In enterprise and data center networks, the scalability of the data plane becomes increasingly challenging as forwarding tables and link speeds grow. Simply building switches with...
Minlan Yu, Alex Fabrikant, Jennifer Rexford