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» Parallelizing Functional Programs by Generalization
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FIW
2009
101views Communications» more  FIW 2009»
15 years 4 months ago
Feature Interaction Detection in the Feature Language Extensions
One of the most difficult tasks in software development is that features are implemented by changing the code of other features. This problem cannot be solved with existing general...
Lei Sun, Lu Zhoa, Yimeng Li, Wu-Hon F. Leung
ASPLOS
1992
ACM
15 years 10 months ago
Efficient Superscalar Performance Through Boosting
The foremost goal of superscalar processor design is to increase performance through the exploitation of instruction-level parallelism (ILP). Previous studies have shown that spec...
Michael D. Smith, Mark Horowitz, Monica S. Lam
COGSR
2011
105views more  COGSR 2011»
15 years 1 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann
IPPS
2006
IEEE
16 years 17 days ago
Multiple sequence alignment by quantum genetic algorithm
In this paper we describe a new approach for the well known problem in bioinformatics: Multiple Sequence Alignment (MSA). MSA is fundamental task as it represents an essential pla...
L. Abdesslem, M. Soham, B. Mohamed
ISNN
2005
Springer
16 years 1 days ago
A SIMD Neural Network Processor for Image Processing
Abstract. Artificial Neural Networks (ANNs) and image processing requires massively parallel computation of simple operator accompanied by heavy memory access. Thus, this type of ...
Dongsun Kim, Hyunsik Kim, Hongsik Kim, Gunhee Han,...