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CASES
2007
ACM
14 years 27 days ago
Application driven embedded system design: a face recognition case study
The key to increasing performance without a commensurate increase in power consumption in modern processors lies in increasing both parallelism and core specialization. Core speci...
Karthik Ramani, Al Davis
ICASSP
2011
IEEE
13 years 19 days ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
ICML
1997
IEEE
14 years 9 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
HPCA
2009
IEEE
14 years 9 months ago
Prediction router: Yet another low latency on-chip router architecture
Network-on-Chips (NoCs) are quite latency sensitive, since their communication latency strongly affects the application performance on recent many-core architectures. To reduce th...
Hiroki Matsutani, Michihiro Koibuchi, Hideharu Ama...
GRID
2008
Springer
13 years 10 months ago
Which network measurement tool is right for you? a multidimensional comparison study
Network performance measurement and prediction is one of the most prominent and indispensable components in distributed computing environments. The selection of the most advantage...
Esma Yildirim, Ibrahim H. Suslu, Tevfik Kosar