Bio-Inspired Imprecise Computational Blocks for Efficient VLSI Implementation of Soft-Computing Applications
By H. R. Mahdiani, A. Ahmadi, S. M. Fakhraie, C. Lucas. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2010
604 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/76232ad2ff984350c97df6187e45002828e37607
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In Artificial Intelligence
- Fabrizio Lombardi
- Anand Raghunathan
- Soheil Hashemi
- Kaushik Roy
- Jie Han
- Gobinda Saha
- Pietro Zanuttigh
- Umberto Michieli
Citations in the corpus
- DRUM: A Dynamic Range Unbiased Multiplier for approximate applications (2015, methodology): “propose a bio-inspired approach, where the addition results within the multiplier were approximated by using OR gates for the lower part of the inputs [4].”
- Design of Power and Area Efficient Approximate Multipliers (2017, background): “Broken array multiplier is implemented in [4], where the least significant bits of inputs are truncated, while forming partial products to reduce hardware complexity.”
- Low-Power Digital Signal Processing Using Approximate Adders (2013, background): “Other works that focus on logic complexity reduction at the gate level are [16]–[19].”
- Design and Analysis of Approximate Compressors for Multiplication (2015, methodology): “Addition and multiplication are widely used operations in computer arithmetic; for addition full-adder cells have been extensively analyzed for approximate computing [2], [3], [4].”
- New Metrics for the Reliability of Approximate and Probabilistic Adders (2013, methodology): “The recently proposed LOA is based on such a design [7].”