Steven K. Reinhardt
Hardware and Architecture · 2000–2019
A researcher in the Science corpus: 10 papers; trusts 6 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Hardware and Architecture — 28 citations into it; #162 of 1,551 by trust here, #170 by citations
- Computer Networks and Communications — 25 citations into it; #1,452 of 9,886 by trust here, #1,003 by citations
- Electrical and Electronic Engineering — 23 citations into it; #1,344 of 16,539 by trust here, #5,675 by citations
- Information Systems — 6 citations into it
Whom Steven K. Reinhardt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Steven K. Reinhardt overall
- Michael Nicolaidis
- T. N. Vijaykumar
- Shuguang Feng
- George A. Reis
- Mohamed A. Gomaa
- Nicholas J. Wang
- Shubhendu S. Mukherjee
- Irith Pomeranz
- Shantanu Sen Gupta
- Jonathan T.-Y. Chang
Papers from Steven K. Reinhardt's perspective
Ordered by how strongly the researchers Steven K. Reinhardt trusts endorse each paper. Same corpus, a different order for every researcher.
- Slipstream processors: improving both performance and fault tolerance (SIGP)
- Automatically characterizing large scale program behavior (ASPLOS X)
- POWER4 system microarchitecture (IBM Journal of Research and Development)
- 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.)
- 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))
- ImageNet classification with deep convolutional neural networks
- Transient-fault recovery for chip multiprocessors (30th Annual International Symposium on Computer Architecture, 2003. Proceedings.)
- The Graph Neural Network Model
- Spectral Networks and Locally Connected Networks on Graphs
- Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
Their papers
- A systematic methodology to compute the architectural vulnerability factors for a high-performance microprocessor (2003) — 1,074 citations
- Detailed design and evaluation of redundant multi-threading alternatives (2002) — 538 citations
- Transient fault detection via simultaneous multithreading (2000) — 714 citations
- The soft error problem: an architectural perspective (2005) — 488 citations
- Techniques to reduce the soft error rate of a high-performance microprocessor (2004) — 300 citations
- AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing (2019) — 314 citations
- Serving DNNs in Real Time at Datacenter Scale with Project Brainwave (2018) — 325 citations
- The gem5 simulator (2011) — 5,271 citations
- Disaggregated memory for expansion and sharing in blade servers (2009) — 502 citations
- The M5 Simulator: Modeling Networked Systems (2006) — 876 citations