Per Hammarlund
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Interconnection Networks and Systems
Papers in
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- Parallel Computing and Optimization Techniques 7
- Embedded Systems Design Techniques 2
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- Advanced Data Storage Technologies 4
- Interconnection Networks and Systems 3
- Distributed and Parallel Computing Systems 3
- Co-authors
- Ronak Singhal (3 shared papers)Changkyu Kim (2 shared papers)Mikhail Smelyanskiy (2 shared papers)Pradeep Dubey (2 shared papers)Victor W. Lee (2 shared papers)Michael Deisher (2 shared papers)Nadathur Satish (2 shared papers)Jatin Chhugani (2 shared papers)
- Journals
- Journal of Computational Neuroscience (1 paper)ACM SIGMETRICS Performance Evaluation Review (1 paper)ACM SIGARCH Computer Architecture News (1 paper)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Per Hammarlund
9 papers receiving 743 citations
Per Hammarlund's Hit Papers
Peers
Comparison fields: 5 of 83
- Hardware and Architecture 397
- Computer Networks and Communications 374
- Computational Mathematics 7
- Computer Graphics and Computer-Aided Design 28
- Computer Vision and Pattern Recognition 124
Countries citing papers authored by Per Hammarlund
This map shows the geographic impact of Per Hammarlund'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 Per Hammarlund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Per Hammarlund more than expected).
Fields of papers citing papers by Per Hammarlund
This network shows the impact of papers produced by Per Hammarlund. 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 Per Hammarlund. The network helps show where Per Hammarlund may publish in the future.
Co-authors
The 24 scholars most cited alongside Per Hammarlund, 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 | Debunking the 100X GPU vs. CPU myth Hit paper breakdown → | 2010 | 452 |
| 2 | 2010 | 203 | |
| 3 | 1998 | 41 | |
| 4 | 2004 | 28 | |
| 5 | 2010 | 27 | |
| 6 | 2013 | 21 | |
| 7 | 1993 | 16 | |
| 8 | 2003 | 7 | |
| 9 | 2003 | 1 |
About Per Hammarlund
Per Hammarlund is a scholar working on Hardware and Architecture, Computer Networks and Communications, Cellular and Molecular Neuroscience, Information Systems and Cognitive Neuroscience, having authored 9 papers that have together received 796 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Advanced Data Storage Technologies (4 papers), Interconnection Networks and Systems (3 papers), Distributed and Parallel Computing Systems (3 papers), Embedded Systems Design Techniques (2 papers), Neuroscience and Neural Engineering (1 paper), Cloud Computing and Resource Management (1 paper) and Teaching and Learning Programming (1 paper). The work is most often cited by research in Hardware and Architecture (397 citations), Computer Networks and Communications (374 citations), Computational Mathematics (7 citations), Computer Graphics and Computer-Aided Design (28 citations) and Computer Vision and Pattern Recognition (124 citations). Per Hammarlund has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Ronak Singhal, Changkyu Kim, Mikhail Smelyanskiy, Pradeep Dubey, Victor W. Lee, Michael Deisher, Nadathur Satish, Jatin Chhugani, Daehyun Kim and Anthony D. Nguyen. Their work appears in journals such as Journal of Computational Neuroscience, ACM SIGMETRICS Performance Evaluation Review 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.