Thomas Norrie
Impact in
- Hardware and Architecture top 0.2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Advanced Neural Network Applications
Papers in
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- Parallel Computing and Optimization Techniques 5
- Embedded Systems Design Techniques 1
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- Advanced Neural Network Applications 2
- Co-authors
- James P. Laudon (3 shared papers)Norman Paul Jouppi (3 shared papers)Nishant P. Patil (3 shared papers)Cliff Young (3 shared papers)David A. Patterson (3 shared papers)Doe Hyun Yoon (3 shared papers)Xiaoyu Ma (1 shared paper)Thomas B. Jablin (1 shared paper)
- Journals
- IEEE Micro (1 paper)Proceedings - International Symposium on Computer Architecture/Proceedings (1 paper)IEEE Hot Chips Symposium (1 paper)ACM/IEEE International Symposium on Computer Architecture (ISCA) (1 paper)ACM SIGARCH Computer Architecture News (1 paper)
- Partner nations
- United States
In The Last Decade
Thomas Norrie
5 papers receiving 4.4k citations
Thomas Norrie's Hit Papers
Peers
Comparison fields: 5 of 88
- Hardware and Architecture 2.2k
- Computer Vision and Pattern Recognition 1.4k
- Electrical and Electronic Engineering 1.4k
- Computational Mathematics 15
- Computer Networks and Communications 443
Countries citing papers authored by Thomas Norrie
This map shows the geographic impact of Thomas Norrie's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas Norrie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Norrie more than expected).
Fields of papers citing papers by Thomas Norrie
This network shows the impact of papers produced by Thomas Norrie. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas Norrie. The network helps show where Thomas Norrie may publish in the future.
Co-authors
The 11 scholars most cited alongside Thomas Norrie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | In-Datacenter Performance Analysis of a Tensor Processing Unit Hit paper breakdown → | 2017 | 3326 |
| 2 | In-Datacenter Performance Analysis of a Tensor Processing Unit Hit paper breakdown → | 2017 | 826 |
| 3 | Ten Lessons From Three Generations Shaped Google’s TPUv4i : Industrial Product Hit paper breakdown → | 2021 | 268 |
| 4 | 2021 | 100 | |
| 5 | 2020 | 26 |
About Thomas Norrie
Thomas Norrie is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 5 papers that have together received 4.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Advanced Neural Network Applications (2 papers), Advanced Memory and Neural Computing (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (2.2k citations), Computer Vision and Pattern Recognition (1.4k citations), Electrical and Electronic Engineering (1.4k citations), Computational Mathematics (15 citations) and Computer Networks and Communications (443 citations). Thomas Norrie has collaborated with scholars based in United States. Frequent co-authors include James P. Laudon, Norman Paul Jouppi, Nishant P. Patil, Cliff Young, David A. Patterson, Doe Hyun Yoon, Xiaoyu Ma, Thomas B. Jablin, Zongwei Zhou and Mark Gottscho. Their work appears in journals such as IEEE Micro, Proceedings - International Symposium on Computer Architecture/Proceedings, IEEE Hot Chips Symposium, ACM/IEEE International Symposium on Computer Architecture (ISCA) and ACM SIGARCH Computer Architecture News.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.