MATCHED FILTER COMPUTATION ON FPGA, CELL, AND GPU
- Los Alamos National Laboratory
The matched filter is an important kernel in the processing of hyperspectral data. The filter enables researchers to sift useful data from instruments that span large frequency bands. In this work, they evaluate the performance of a matched filter algorithm implementation on accelerated co-processor (XD1000), the IBM Cell microprocessor, and the NVIDIA GeForce 6900 GTX GPU graphics card. They provide extensive discussion of the challenges and opportunities afforded by each platform. In particular, they explore the problems of partitioning the filter most efficiently between the host CPU and the co-processor. Using their results, they derive several performance metrics that provide the optimal solution for a variety of application situations.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC52-06NA25396
- OSTI ID:
- 1000495
- Report Number(s):
- LA-UR-07-0084; TRN: US201101%%363
- Resource Relation:
- Conference: IEEE SYMPOSIUM ON FIELD-PROGRAMMABLE CUSTON COMPUTING MACH ; 200704 ; NAPA
- Country of Publication:
- United States
- Language:
- English
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