Suganthi Venkatachalam

IEEE Transactions on Very Large Scale Integration (vlsi) Systems · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Suganthi Venkatachalam trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jie Han
  2. Cong Liu
  3. Fabrizio Lombardi

Papers from Suganthi Venkatachalam's perspective

Ordered by how strongly the researchers Suganthi Venkatachalam trusts endorse each paper. Same corpus, a different order for every researcher.

  1. New Metrics for the Reliability of Approximate and Probabilistic Adders (IEEE transactions on computers)
  2. Bio-Inspired Imprecise Computational Blocks for Efficient VLSI Implementation of Soft-Computing Applications (IEEE Transactions on Circuits and Systems Part 1: Regular Papers)
  3. Low-Power Digital Signal Processing Using Approximate Adders (IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems)
  4. Design and Analysis of Approximate Compressors for Multiplication (IEEE transactions on computers)
  5. A low-power, high-performance approximate multiplier with configurable partial error recovery (Design, Automation and Test in Europe)
  6. IMPACT: IMPrecise adders for low-power approximate computing (IEEE/ACM International Symposium on Low Power Electronics and Design)
  7. Trading Accuracy for Power with an Underdesigned Multiplier Architecture (2011 24th Internatioal Conference on VLSI Design)
  8. Ultra low-voltage low-power CMOS 4-2 and 5-2 compressors for fast arithmetic circuits (IEEE Trans. Circuits Syst. I Regul. Pap.)
  9. Approximate computing: An emerging paradigm for energy-efficient design (IEEE European Test Symposium)
  10. Variable Latency Speculative Addition: A New Paradigm for Arithmetic Circuit Design (Design, Automation and Test in Europe)

Their papers