Using local memory to boost the performance of FFT algorithms on the CRAY-2 supercomputer.
David A. CarlsonPublished in: J. Supercomput. (1991)
Keyphrases
- memory usage
- floating point
- learning algorithm
- computational complexity
- theoretical analysis
- optimization problems
- fast fourier transform
- fourier transform
- times faster
- computational efficiency
- frequency domain
- computational cost
- significant improvement
- data structure
- worst case
- wireless sensor networks
- orders of magnitude
- multiresolution
- search algorithm
- recently developed
- memory requirements
- feature extraction
- genetic algorithm
- machine learning