Christopher T. Weaver

Computer Networks and Communications · 2003–2004

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Christopher T. Weaver trusts overall

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

  1. Timothy Sherwood
  2. Shubhendu S. Mukherjee
  3. Nicholas J. Wang
  4. Erez Perelman
  5. Steven K. Reinhardt
  6. Greg Hamerly

Who trusts Christopher T. Weaver overall

  1. Nicholas J. Wang
  2. Chang-Burm Cho
  3. Shuguang Feng
  4. Jayanth Srinivasan

Papers from Christopher T. Weaver's perspective

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

  1. A systematic methodology to compute the architectural vulnerability factors for a high-performance microprocessor (Proceedings. 36th Annual IEEE/ACM International Symposium on Microarchitecture, 2003. MICRO-36.)
  2. Automatically characterizing large scale program behavior (ASPLOS X)
  3. 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))
  4. Transient-fault recovery for chip multiprocessors (30th Annual International Symposium on Computer Architecture, 2003. Proceedings.)
  5. Characterizing the effects of transient faults on a high-performance processor pipeline (International Conference on Dependable Systems and Networks, 2004)
  6. Slipstream processors: improving both performance and fault tolerance (SIGP)
  7. Learning the k in k-means (Neural Information Processing Systems)
  8. Managing multi-configuration hardware via dynamic working set analysis (Proceedings 29th Annual International Symposium on Computer Architecture)
  9. Phase tracking and prediction (30th Annual International Symposium on Computer Architecture, 2003. Proceedings.)
  10. Experiments with Random Projection (Conference on Uncertainty in Artificial Intelligence)

Their papers