| Publication Type |
Journal Article |
| School or College |
College of Engineering |
| Department |
Electrical & Computer Engineering |
| Creator |
Mathews, V. John |
| Other Author |
Prashant, K. S. |
| Title |
Massively parallel algorithm for vector quantization |
| Date |
1995 |
| Description |
This paper is concerned with the parallel implementation of a vector quantizer system on Maspar MP-2, a single-instruction, multiple-data (SIMD) massively parallel computer. A vector quantizer (VQ) consists of two mappings: an encoder and a decoder. The encoder assigns to each input vector the index of the codevector that is closest to it. The decoder uses this index to reconstruct the signal. In our work, we used the Euclidean distortion measure to find the codevector closest to each input vector. The work described in this paper used a Maspar MP-2216 located at the Goddard Space Flight Center, Greenbelt, Maryland. This system has 16,384 processor elements (PES) arranged in a rectangular array of 128 x 128 nodes. |
| Type |
Text |
| Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| Language |
eng |
| Bibliographic Citation |
Prashant, K. S., & Mathews, V. J. (1995). Massively parallel algorithm for vector quantization. Proc. of the 1995 NASA Space and Earth Sciences Workshop, 499. March. |
| Rights Management |
© 1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Format Medium |
application/pdf |
| Format Extent |
63,797 bytes |
| Identifier |
ir-main,15146 |
| ARK |
ark:/87278/s6tt58h5 |
| Setname |
ir_uspace |
| ID |
706758 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6tt58h5 |
