Parallel codebook design for vector quantization on a message passing MIMD architecture

Parallel Computing

Volumn 28, Issue 7-8, 2002, Pages 1079-1093

  Abbas, Hazem M ^a   Bayoumi, Mohamed M ^b  

^a The British University in Egypt   (Egypt)

^b QUEEN S UNIVERSITY   (Canada)

Author keywords

Image compression; MIMD architecture; Parallel computing; Unsupervised learning; Vector quantization

Indexed keywords

ALGORITHMS; COMPUTER ARCHITECTURE; DATA COMPRESSION; MATHEMATICAL MODELS; PIPELINE PROCESSING SYSTEMS; VECTOR QUANTIZATION;

UNSUPERVISED LEARNING;

PARALLEL PROCESSING SYSTEMS;

EID: 0036683099     PISSN: 01678191     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8191(02)00109-6     Document Type: Article

References (20)

1. Image coding using vector quantization: A review
2. An algorithm for vector quantizer design
3. Some methods for classifications and analysis of multivariate observations
4. Feature discovery by competitive learning
5. The self-organizing map
6. Competitive learning algorithms for vector quantization
7. Progressive vector quantization of multispectral image data using a massively parallel SIMD machine
8. Progressive vector quantization on a massively parallel SIMD machine with application to multispectral image data
9. A massively parallel algorithm for vector quantization
10. A massively parallel implementation of the full search vector quantization algorithm
11. A memory-based parallel processor for vector quantization: FMPP-VQ
12. Trollius operating system
13. Comparison of parallel and serial implementation of feedforward neural networks
14. On the implementation of backpropagation on the Alex AVX-2 parallel system
15. The performance of the parallel backpropagation feedforward networks on an MIMD architecture
16. Benchmarking of high performance computing
17. A detailed look at some popular benchmark
18. Performance prediction of large MIMD systems for parallel neural network simulations