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ALT
2011
Springer
14 years 4 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau
HPCA
2009
IEEE
16 years 5 months ago
Versatile prediction and fast estimation of Architectural Vulnerability Factor from processor performance metrics
The shrinking processor feature size, lower threshold voltage and increasing clock frequency make modern processors highly vulnerable to transient faults. Architectural Vulnerabil...
Lide Duan, Bin Li, Lu Peng
120
Voted
ICCD
2006
IEEE
104views Hardware» more  ICCD 2006»
16 years 1 months ago
Guiding Architectural SRAM Models
— Caches, block memories, predictors, state tables, and other forms of on-chip memory are continuing to consume a greater portion of processor designs with each passing year. Mak...
Banit Agrawal, Timothy Sherwood
142
Voted
HICSS
2010
IEEE
185views Biometrics» more  HICSS 2010»
15 years 11 months ago
Concurrent Architecture for Automated Malware Classification
This paper introduces a new architecture for automating the generalization of program structure and the recognition of common patterns in the area of malware analysis. By using ma...
Timothy Daly, Luanne Burns
PPOPP
2010
ACM
15 years 11 months ago
An adaptive performance modeling tool for GPU architectures
This paper presents an analytical model to predict the performance of general-purpose applications on a GPU architecture. The model is designed to provide performance information ...
Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. P...