Todd M. Austin

Electrical and Electronic Engineering · 2001–2005

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Todd M. Austin trusts overall

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

  1. T. Mudge

Who trusts Todd M. Austin overall

  1. Gabriel H. Loh
  2. Matthias Gries
  3. Sangyeun Cho
  4. Yuejian Xie
  5. A. KleinOsowski
  6. Zhenghong Wang
  7. Niket Agarwal
  8. Ruby B. Lee
  9. Lei Jin
  10. David J. Lilja

Papers from Todd M. Austin's perspective

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

  1. Design of High-Performance Microprocessor Circuits
  2. Automatically characterizing large scale program behavior (ASPLOS X)
  3. Computer Architecture: A Quantitative Approach
  4. Theoretical and practical limits of dynamic voltage scaling (Proceedings - Design Automation Conference)
  5. Scaling trends of cosmic ray induced soft errors in static latches beyond 0.18 /spl mu/ (2001 Symposium on VLSI Circuits. Digest of Technical Papers (IEEE Cat. No.01CH37185))
  6. Transient-fault recovery for chip multiprocessors (30th Annual International Symposium on Computer Architecture, 2003. Proceedings.)
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Some methods for classification and analysis of multivariate observations

Their papers