Ian Karlin

1.6k total citations
39 papers, 518 citations indexed

About

Ian Karlin is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Ian Karlin has authored 39 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Hardware and Architecture, 25 papers in Computer Networks and Communications and 8 papers in Computational Theory and Mathematics. Recurrent topics in Ian Karlin's work include Parallel Computing and Optimization Techniques (28 papers), Advanced Data Storage Technologies (16 papers) and Distributed and Parallel Computing Systems (14 papers). Ian Karlin is often cited by papers focused on Parallel Computing and Optimization Techniques (28 papers), Advanced Data Storage Technologies (16 papers) and Distributed and Parallel Computing Systems (14 papers). Ian Karlin collaborates with scholars based in United States, United Kingdom and France. Ian Karlin's co-authors include Elizabeth R. Jessup, Jeremy G. Siek, Abhinav Bhatelé, Martin Schulz, Zachary DeVito, Edward Luke, Chunhua Liao, David F. Richards, Bradford L. Chamberlain and C. H. Still and has published in prestigious journals such as IBM Journal of Research and Development, Parallel Computing and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

Ian Karlin

36 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Karlin United States 12 376 339 120 64 63 39 518
Jim Demmel United States 6 470 1.3× 348 1.0× 75 0.6× 148 2.3× 93 1.5× 9 584
Fabrice Rastello France 11 351 0.9× 307 0.9× 67 0.6× 53 0.8× 74 1.2× 50 459
Albert Hartono United States 8 778 2.1× 579 1.7× 108 0.9× 81 1.3× 171 2.7× 9 894
Ananta Tiwari United States 12 395 1.1× 338 1.0× 180 1.5× 30 0.5× 72 1.1× 28 479
Vinod Grover United States 15 488 1.3× 345 1.0× 59 0.5× 51 0.8× 145 2.3× 25 579
Elliott Slaughter United States 9 521 1.4× 516 1.5× 197 1.6× 15 0.2× 56 0.9× 21 636
Nikhil Jain United States 17 451 1.2× 612 1.8× 249 2.1× 23 0.4× 53 0.8× 56 783
Nicolas Vasilache United States 11 584 1.6× 360 1.1× 87 0.7× 68 1.1× 206 3.3× 16 763
Jacqueline Chame United States 12 753 2.0× 580 1.7× 127 1.1× 62 1.0× 153 2.4× 23 863
Marc Casas Spain 16 572 1.5× 549 1.6× 193 1.6× 35 0.5× 84 1.3× 95 752

Countries citing papers authored by Ian Karlin

Since Specialization
Citations

This map shows the geographic impact of Ian Karlin'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 Ian Karlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Karlin more than expected).

Fields of papers citing papers by Ian Karlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian Karlin. 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 Ian Karlin. The network helps show where Ian Karlin may publish in the future.

Co-authorship network of co-authors of Ian Karlin

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Karlin. A scholar is included among the top collaborators of Ian Karlin 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 Ian Karlin. Ian Karlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Langer, S. H., et al.. (2021). Performance Analysis and Optimization for BLAST, a High Order Finite Element Hydro Code. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
2.
Peng, Ivy, et al.. (2021). A Holistic View of Memory Utilization on HPC Systems: Current and Future Trends. 1–11. 10 indexed citations
3.
Joos, Marc, et al.. (2021). On-the-Fly, Robust Translation of MPI Libraries. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 504–515.
4.
Karlin, Ian, et al.. (2020). TOSS-2020: A Commodity Software Stack for HPC. 1–15. 2 indexed citations
5.
Dahm, Johann, David F. Richards, A. P. Black, et al.. (2020). Sierra Center of Excellence: Lessons learned. IBM Journal of Research and Development. 64(3/4). 2:1–2:14. 4 indexed citations
6.
Zimmer, Christopher, Scott Atchley, Ramesh Pankajakshan, et al.. (2019). An evaluation of the CORAL interconnects. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–18. 17 indexed citations
7.
Jain, Nikhil, Abhinav Bhatelé, Louis H. Howell, et al.. (2017). Predicting the performance impact of different fat-tree configurations. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–13. 25 indexed citations
8.
Dobrev, Veselin, Jack Dongarra, Jed Brown, et al.. (2017). CEED ECP Milestone Report: Identify initial kernels, bake-off problems (benchmarks) and miniapps. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
9.
Karlin, Ian, et al.. (2016). Characterizing parallel scientific applications on commodity clusters: an empirical study of a tapered fat-tree. IEEE International Conference on High Performance Computing, Data, and Analytics. 78. 13 indexed citations
10.
Karlin, Ian, et al.. (2016). System Noise Revisited: Enabling Application Scalability and Reproducibility with SMT. IEEE Conference Proceedings. 2016. 607. 1 indexed citations
11.
Karlin, Ian, et al.. (2016). Program optimizations: The interplay between power, performance, and energy. Parallel Computing. 58. 56–75. 10 indexed citations
12.
Karlin, Ian, et al.. (2016). Characterizing Parallel Scientific Applications on Commodity Clusters: An Empirical Study of a Tapered Fat-Tree. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 7 indexed citations
13.
Karlin, Ian, et al.. (2012). Poster: Memory and Parallelism Exploration Using the LULESH Proxy Application. 1429–1429. 6 indexed citations
14.
Amor, Miguel Ángel Martínez del, et al.. (2012). Parallel Simulation of Probabilistic P Systems on Multicore Platforms. Dialnet (Universidad de la Rioja). 17–26. 6 indexed citations
15.
Karlin, Ian, et al.. (2011). Parallel memory prediction for fused linear algebra kernels. ACM SIGMETRICS Performance Evaluation Review. 38(4). 43–49. 5 indexed citations
16.
Karlin, Ian, et al.. (2011). Auto-tuning a Matrix Routine for High Performance. 3 indexed citations
17.
Jessup, Elizabeth R. & Ian Karlin. (2011). Runtime prediction of fused linear algebra in a compiler framework.
18.
Jessup, Elizabeth R., et al.. (2010). Understanding memory effects in the automated generation of optimized matrix algebra kernels. Procedia Computer Science. 1(1). 1873–1881. 2 indexed citations
19.
Jessup, Elizabeth R., et al.. (2009). Automating the generation of composed linear algebra kernels. 1–12. 46 indexed citations
20.
Siek, Jeremy G., Ian Karlin, & Elizabeth R. Jessup. (2008). Build to order linear algebra kernels. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 1–8. 25 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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