A low-power, high-performance approximate multiplier with configurable partial error recovery

By Cong Liu, Jie Han, Fabrizio Lombardi. Design, Automation and Test in Europe, 2014

304 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/266a9e83364863f56d53dca6912830c0a84ec7de

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Soheil Hashemi
2. Nam Sung Kim
3. Todd Mytkowicz
4. Qiang Xu
5. Suganthi Venkatachalam
6. Seok-Bum Ko

Citations in the corpus

• Design of Power and Area Efficient Approximate Multipliers (2017, methodology): “A new approximate adder is presented in [10] which is utilized for partial product accumulation of the multiplier.”
• Approximate Computing: A Survey (2016, background): “In [53], approximate adders are leveraged to build approximate multiplier with configurable accuracy.”
• DRUM: A Dynamic Range Unbiased Multiplier for approximate applications (2015, methodology): “[11] proposed an approximate multiplier with configurable error recovery using fast approximate adders for the partial product addition stage.”