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ICTAI
2008
IEEE
14 years 4 months ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause
ICASSP
2011
IEEE
13 years 1 months ago
Estimation and dynamic updating of time-varying signals with sparse variations
This paper presents an algorithm for an 1-regularized Kalman filter. Given observations of a discrete-time linear dynamical system with sparse errors in the state evolution, we e...
Muhammad Salman Asif, Adam Charles, Justin K. Romb...
HIPEAC
2007
Springer
14 years 4 months ago
Performance/Energy Optimization of DSP Transforms on the XScale Processor
The XScale processor family provides user-controllable independent configuration of CPU, bus, and memory frequencies. This feature introduces another handle for the code optimizat...
Paolo D'Alberto, Markus Püschel, Franz Franch...
IPTPS
2005
Springer
14 years 3 months ago
Clustering in P2P Exchanges and Consequences on Performances
— We propose here an analysis of a rich dataset which gives an exhaustive and dynamic view of the exchanges processed in a running eDonkey system. We focus on correlation in term...
Stevens Le-Blond, Jean-Loup Guillaume, Matthieu La...
IPPS
2007
IEEE
14 years 4 months ago
Power, Performance, and Thermal Management for High-Performance Systems
In future high-performance systems it will be essential to balance often-conflicting objectives of performance, power, energy, and temperature under variable workload and environ...
Heather Hanson, Stephen W. Keckler, Karthick Rajam...