Name
Abstract | ||
|---|---|---|
A high-performance Karhunen Loève transform for multi-spectral imagery suitable for remote sensing applications has been prototyped on a platform FPGA. through hardware compilation onto a PC-based development board. Performance estimates suggest that the design will outperform implementation on a high-end microprocessor, given due attention to I/O (input/output). Detailed analysis of the design steps taken to produce a successful prototype are given. A design that addresses the issue of data bandwidth is included. General conclusions are reached for the utility of this architecture and design method for fine-grained parallel processing. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.jpdc.2004.03.003 | J. Parallel Distrib. Comput. |
Keywords | Field | DocType |
fine-grained parallel processing,simd,general conclusion,due attention,design method,fpga,detailed analysis,design step,hardware compilation,high-end microprocessor,klt,data bandwidth,pc-based development board,fine-grained parallel karhunen-lo,remote sensing,input output,parallel processing | Architecture,Karhunen–Loève theorem,Computer science,Parallel processing,Microprocessor,Parallel computing,SIMD,Field-programmable gate array,Remote sensing application,Bandwidth (signal processing) | Journal |
Volume | Issue | ISSN |
64 | 4 | Journal of Parallel and Distributed Computing |
Citations | PageRank | References |
7 | 0.67 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Fleury | 1 | 380 | 57.38 |
| R. P. Self | 2 | 17 | 1.79 |
| Andy C. Downton | 3 | 121 | 31.49 |