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ISNN
2005
Springer
14 years 29 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,...
ASAP
2005
IEEE
151views Hardware» more  ASAP 2005»
14 years 1 months ago
Performance Comparison of SIMD Implementations of the Discrete Wavelet Transform
This paper focuses on SIMD implementations of the 2D discrete wavelet transform (DWT). The transforms considered are Daubechies’ real-to-real method of four coefficients (Daub-...
Asadollah Shahbahrami, Ben H. H. Juurlink, Stamati...
ASAP
2000
IEEE
90views Hardware» more  ASAP 2000»
13 years 12 months ago
Subword Permutation Instructions for Two-Dimensional Multimedia Processing in MicroSIMD Architectures
MicroSIMD architectures incorporating subword parallelism are very efficient for application-specific media processors as well as for fast multimedia information processing in gen...
Ruby B. Lee
CC
2008
Springer
13 years 9 months ago
Generating SIMD Vectorized Permutations
Abstract. This paper introduces a method to generate efficient vectorized implementations of small stride permutations using only vector load and vector shuffle instructions. These...
Franz Franchetti, Markus Püschel
EUROSYS
2011
ACM
12 years 11 months ago
Symbolic crosschecking of floating-point and SIMD code
We present an effective technique for crosschecking an IEEE 754 floating-point program and its SIMD-vectorized version, implemented in KLEE-FP, an extension to the KLEE symbolic ...
Peter Collingbourne, Cristian Cadar, Paul H. J. Ke...