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NIPS
2004
13 years 8 months ago
Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits
What makes a neural microcircuit computationally powerful? Or more precisely, which measurable quantities could explain why one microcircuit C is better suited for a particular fa...
Wolfgang Maass, Robert A. Legenstein, Nils Bertsch...
CF
2006
ACM
13 years 11 months ago
Performance characteristics of an adaptive mesh refinement calculation on scalar and vector platforms
Adaptive mesh refinement (AMR) is a powerful technique that reduces the resources necessary to solve otherwise intractable problems in computational science. The AMR strategy solv...
Michael L. Welcome, Charles A. Rendleman, Leonid O...
VLSID
2004
IEEE
209views VLSI» more  VLSID 2004»
14 years 7 months ago
An Architecture for Motion Estimation in the Transform Domain
demanding algorithm of a video encoder. It is known that about 60% ~ 80% of the total computation time is consumed for motion estimation [1]. The second is its high impact on the v...
J. Lee, Narayanan Vijaykrishnan, Mary Jane Irwin, ...
PE
2007
Springer
137views Optimization» more  PE 2007»
13 years 7 months ago
A prediction method for job runtimes on shared processors: Survey, statistical analysis and new avenues
Grid computing is an emerging technology by which huge numbers of processors over the world create a global source of processing power. Their collaboration makes it possible to pe...
Menno Dobber, Robert D. van der Mei, Ger Koole
IPPS
2005
IEEE
14 years 1 months ago
A Compiler-Enabled Model- and Measurement-Driven Adaptation Environment for Dependability and Performance
Traditional techniques for building dependable, highperformance distributed systems are too expensive for most non-critical systems, often causing dependability to be sidelined as...
Vikram S. Adve, Adnan Agbaria, Matti A. Hiltunen, ...