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SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
13 years 10 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha
CASES
2003
ACM
14 years 2 months ago
Exploiting bank locality in multi-bank memories
Bank locality can be defined as localizing the number of load/store accesses to a small set of memory banks at a given time. An optimizing compiler can modify a given input code t...
Guilin Chen, Mahmut T. Kandemir, Hendra Saputra, M...
IPPS
2006
IEEE
14 years 3 months ago
Algorithm-based checkpoint-free fault tolerance for parallel matrix computations on volatile resources
As the desire of scientists to perform ever larger computations drives the size of today’s high performance computers from hundreds, to thousands, and even tens of thousands of ...
Zizhong Chen, Jack Dongarra
ICPADS
2006
IEEE
14 years 3 months ago
Experiences with Simulations - A Light and Fast Model for Secure Web Applications
Using simulations of a complex system such as a Web Application Server provides us with a tool that allows the running of tests without using the resources needed in a real system...
Ramon Nou, Jordi Guitart, David Carrera, Jordi Tor...
DATE
2004
IEEE
113views Hardware» more  DATE 2004»
14 years 22 days ago
Dynamic Memory Management Design Methodology for Reduced Memory Footprint in Multimedia and Wireless Network Applications
New portable consumer embedded devices must execute multimedia and wireless network applications that demand extensive memory footprint. Moreover, they must heavily rely on Dynami...
David Atienza, Stylianos Mamagkakis, Francky Catth...