Per Hammarlund

1.4k total citations · 1 hit paper
9 papers, 796 citations indexed

About

Per Hammarlund is a scholar working on Hardware and Architecture, Computer Networks and Communications and Cellular and Molecular Neuroscience. According to data from OpenAlex, Per Hammarlund has authored 9 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hardware and Architecture, 6 papers in Computer Networks and Communications and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Per Hammarlund's work include Parallel Computing and Optimization Techniques (7 papers), Advanced Data Storage Technologies (4 papers) and Distributed and Parallel Computing Systems (3 papers). Per Hammarlund is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Advanced Data Storage Technologies (4 papers) and Distributed and Parallel Computing Systems (3 papers). Per Hammarlund collaborates with scholars based in United States, Canada and Sweden. Per Hammarlund's co-authors include Ronak Singhal, Victor W. Lee, Michael Deisher, Anthony D. Nguyen, Jatin Chhugani, Changkyu Kim, Mikhail Smelyanskiy, Nadathur Satish, Pradeep Dubey and Daehyun Kim and has published in prestigious journals such as Journal of Computational Neuroscience, ACM SIGMETRICS Performance Evaluation Review and ACM SIGARCH Computer Architecture News.

In The Last Decade

Per Hammarlund

9 papers receiving 743 citations

Hit Papers

Debunking the 100X GPU vs. CPU myth 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Per Hammarlund United States 8 397 374 143 131 124 9 796
Ronak Singhal United States 8 479 1.2× 440 1.2× 152 1.1× 134 1.0× 129 1.0× 11 858
Sam S. Stone United States 9 673 1.7× 625 1.7× 116 0.8× 172 1.3× 195 1.6× 13 1.2k
Shane Ryoo United States 8 656 1.7× 608 1.6× 102 0.7× 156 1.2× 185 1.5× 12 1.1k
Guochun Shi United States 9 584 1.5× 567 1.5× 142 1.0× 187 1.4× 183 1.5× 22 1.2k
Canqun Yang China 14 282 0.7× 322 0.9× 92 0.6× 186 1.4× 213 1.7× 84 904
Jianbin Fang China 18 524 1.3× 530 1.4× 122 0.9× 175 1.3× 230 1.9× 83 1.1k
Sara S. Baghsorkhi United States 13 955 2.4× 859 2.3× 159 1.1× 215 1.6× 223 1.8× 21 1.4k
Paulius Micikevicius United States 8 213 0.5× 218 0.6× 120 0.8× 148 1.1× 178 1.4× 15 735
Erik Lindholm United States 6 814 2.1× 736 2.0× 218 1.5× 153 1.2× 295 2.4× 6 1.4k
Ana Lucia Vărbănescu Netherlands 13 453 1.1× 477 1.3× 89 0.6× 143 1.1× 226 1.8× 67 836

Countries citing papers authored by Per Hammarlund

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Per Hammarlund

This figure shows the co-authorship network connecting the top 25 collaborators of Per Hammarlund. A scholar is included among the top collaborators of Per Hammarlund based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Per Hammarlund. Per Hammarlund is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Hammarlund, Per. (2013). 4th generation Intel™ Core processor, codenamed Haswell. 1–35. 21 indexed citations
2.
Schelle, Graham, Jamison D. Collins, Xiang Zou, et al.. (2010). Intel nehalem processor core made FPGA synthesizable. 3–12. 27 indexed citations
3.
Lee, Victor W., Changkyu Kim, Jatin Chhugani, et al.. (2010). Debunking the 100X GPU vs. CPU myth. 451–460. 452 indexed citations breakdown →
4.
Lee, Victor W., Changkyu Kim, Jatin Chhugani, et al.. (2010). Debunking the 100X GPU vs. CPU myth. ACM SIGARCH Computer Architecture News. 38(3). 451–460. 203 indexed citations
5.
Aamodt, Tor M., Paul Chow, Per Hammarlund, Hong Wang, & John Paul Shen. (2004). Hardware Support for Prescient Instruction Prefetch. 84–84. 28 indexed citations
6.
Aamodt, Tor M., Pedro Marcuello, Paul Chow, et al.. (2003). A framework for modeling and optimization of prescient instruction prefetch. ACM SIGMETRICS Performance Evaluation Review. 31(1). 13–24. 1 indexed citations
7.
Aamodt, Tor M., Pedro Marcuello, Paul Chow, et al.. (2003). A framework for modeling and optimization of prescient instruction prefetch. 13–24. 7 indexed citations
8.
Hammarlund, Per & Örjan Ekeberg. (1998). Large Neural Network Simulations on Multiple Hardware Platforms. Journal of Computational Neuroscience. 5(4). 443–459. 41 indexed citations
9.
Hammarlund, Per & Björn Lisper. (1993). On the relation between functional and data parallel programming languages. 210–219. 16 indexed citations

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.

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