Andy Swing
Impact in
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques
- Computational Mathematics top 1%
Papers in
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- Parallel Computing and Optimization Techniques 3
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- Advanced Data Storage Technologies 2
- Interconnection Networks and Systems 1
- Co-authors
- Norman Paul Jouppi (2 shared papers)Nishant P. Patil (1 shared paper)Suvinay Subramanian (1 shared paper)Peter Ma (1 shared paper)George Thomas Kurian (1 shared paper)Zongwei Zhou (1 shared paper)David A. Patterson (1 shared paper)Cliff Young (1 shared paper)
- Journals
- ACM SIGARCH Computer Architecture News (1 paper)
- Partner nations
- United States
In The Last Decade
Andy Swing
4 papers receiving 4.2k citations
Andy Swing's Hit Papers
Peers
Comparison fields: 5 of 113
- Hardware and Architecture 1.2k
- Computational Mathematics 82
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 1.5k
- Electrical and Electronic Engineering 2.2k
Countries citing papers authored by Andy Swing
This map shows the geographic impact of Andy Swing'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 Andy Swing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Swing more than expected).
Fields of papers citing papers by Andy Swing
This network shows the impact of papers produced by Andy Swing. 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 Andy Swing. The network helps show where Andy Swing may publish in the future.
Co-authors
The 13 scholars most cited alongside Andy Swing, 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 | 3237 |
| 2 | In-Datacenter Performance Analysis of a Tensor Processing Unit Hit paper breakdown → | 2017 | 796 |
| 3 | TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings Hit paper breakdown → | 2023 | 313 |
| 4 | 2023 | 3 |
About Andy Swing
Andy Swing is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Insect Science, having authored 4 papers that have together received 4.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Advanced Data Storage Technologies (2 papers), Advanced Memory and Neural Computing (2 papers), Cloud Computing and Resource Management (1 paper), Photonic and Optical Devices (1 paper), Semiconductor Lasers and Optical Devices (1 paper), Optical Network Technologies (1 paper) and Interconnection Networks and Systems (1 paper). The work is most often cited by research in Hardware and Architecture (1.2k citations), Computational Mathematics (82 citations), Computer Vision and Pattern Recognition (1.6k citations), Artificial Intelligence (1.5k citations) and Electrical and Electronic Engineering (2.2k citations). Andy Swing has collaborated with scholars based in United States. Frequent co-authors include Norman Paul Jouppi, Nishant P. Patil, Suvinay Subramanian, Peter Ma, George Thomas Kurian, Zongwei Zhou, David A. Patterson, Cliff Young, Brian Towles and Rahul Nagarajan. Their work appears in journals such as 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.