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ICML
2009
IEEE
14 years 8 months ago
Large-scale deep unsupervised learning using graphics processors
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...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
ISLPED
2006
ACM
105views Hardware» more  ISLPED 2006»
14 years 1 months ago
Reducing power through compiler-directed barrier synchronization elimination
Interprocessor synchronization, while extremely important for ensuring execution correctness, can be very costly in terms of both power and performance overheads. Unfortunately, m...
Mahmut T. Kandemir, Seung Woo Son
EUROPAR
2004
Springer
14 years 22 days ago
A Data Management and Communication Layer for Adaptive, Hexahedral FEM
The parallel realization of adaptive finite element methods (FEM) has to deal with several irregular and dynamic algorithmic properties caused by adaptive mesh refinement (AMR). ...
Judith Hippold, Gudula Rünger
IEEEPACT
1999
IEEE
13 years 11 months ago
Cameron: High level Language Compilation for Reconfigurable Systems
This paper presents the Cameron Project 1 , which aims to provide a high level, algorithmic language and optimizing compiler for the development of image processing applications o...
Jeffrey Hammes, Robert Rinker, A. P. Wim Böhm...
ICPP
2008
IEEE
14 years 1 months ago
Optimizing JPEG2000 Still Image Encoding on the Cell Broadband Engine
JPEG2000 is the latest still image coding standard from the JPEG committee, which adopts new algorithms such as Embedded Block Coding with Optimized Truncation (EBCOT) and Discret...
Seunghwa Kang, David A. Bader