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conference paper · IEEE International Conference on Acoustics Speech and Signal Processing · 2007

Algorithmic Level Design Space Exploration Tool for Creation of Highly Optimized Synthesizable Circuits

Nazish Aslam, Tughrul Arslan, Ahmet T. Erdogan

Cited by 2Abstract and details only

Abstract

This paper presents some of the results obtained by using a prototype algorithmic level design space exploration tool currently under development. The tool is based upon multi-objective evolutionary algorithms. The paper highlights the tool's benefits and discusses its current abilities in terms of its experimental applications.

Cite this paper

APA 7

Aslam, N., Arslan, T., & Erdogan, A. T. (2007). Algorithmic Level Design Space Exploration Tool for Creation of Highly Optimized Synthesizable Circuits. IEEE International Conference on Acoustics Speech and Signal Processing, 10, II–81. https://doi.org/10.1109/icassp.2007.366177

MLA 9

Aslam, Nazish, et al. “Algorithmic Level Design Space Exploration Tool for Creation of Highly Optimized Synthesizable Circuits.” IEEE International Conference on Acoustics Speech and Signal Processing, vol. 10, 2007, pp. II–81, https://doi.org/10.1109/icassp.2007.366177.

Chicago

Aslam, Nazish, Tughrul Arslan, and Ahmet T. Erdogan. 2007. “Algorithmic Level Design Space Exploration Tool for Creation of Highly Optimized Synthesizable Circuits.” IEEE International Conference on Acoustics Speech and Signal Processing 10: II–81. https://doi.org/10.1109/icassp.2007.366177.

Harvard

Aslam, N., Arslan, T. and Erdogan, A.T. (2007) ‘Algorithmic Level Design Space Exploration Tool for Creation of Highly Optimized Synthesizable Circuits’, IEEE International Conference on Acoustics Speech and Signal Processing, 10, pp. II–81. Available at: https://doi.org/10.1109/icassp.2007.366177.

BibTeX
@article{aslam2007algorithmic,
  title = {{Algorithmic Level Design Space Exploration Tool for Creation of Highly Optimized Synthesizable Circuits}},
  author = {Aslam, Nazish and Arslan, Tughrul and Erdogan, Ahmet T.},
  journal = {IEEE International Conference on Acoustics Speech and Signal Processing},
  volume = {10},
  pages = {II--81},
  year = {2007},
  doi = {10.1109/icassp.2007.366177}
}

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