Fredrik Kjølstad

1.3k total citations
34 papers, 741 citations indexed

About

Fredrik Kjølstad is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Fredrik Kjølstad has authored 34 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hardware and Architecture, 17 papers in Computer Networks and Communications and 9 papers in Artificial Intelligence. Recurrent topics in Fredrik Kjølstad's work include Parallel Computing and Optimization Techniques (28 papers), Embedded Systems Design Techniques (11 papers) and Distributed and Parallel Computing Systems (9 papers). Fredrik Kjølstad is often cited by papers focused on Parallel Computing and Optimization Techniques (28 papers), Embedded Systems Design Techniques (11 papers) and Distributed and Parallel Computing Systems (9 papers). Fredrik Kjølstad collaborates with scholars based in United States, France and United Kingdom. Fredrik Kjølstad's co-authors include Saman Amarasinghe, Stephen Y. Chou, Shoaib Kamil, David Lugato, Gilbert Bernstein, Marc Snir, Torsten Hoefler, Timo Schneider, Danny Dig and Kunle Olukotun and has published in prestigious journals such as ACM Transactions on Graphics, ACM SIGPLAN Notices and Proceedings of the ACM on Programming Languages.

In The Last Decade

Fredrik Kjølstad

29 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fredrik Kjølstad United States 14 494 285 204 162 150 34 741
Yuwei Hu United States 10 342 0.7× 213 0.7× 341 1.7× 38 0.2× 463 3.1× 12 858
Michael Pellauer United States 22 1000 2.0× 656 2.3× 282 1.4× 54 0.3× 323 2.2× 58 1.4k
Tatiana Shpeisman United States 20 1.3k 2.6× 1.3k 4.5× 387 1.9× 24 0.1× 125 0.8× 42 1.7k
Kishore Kothapalli India 14 217 0.4× 416 1.5× 191 0.9× 8 0.0× 197 1.3× 76 665
Tony Nowatzki United States 19 972 2.0× 763 2.7× 123 0.6× 19 0.1× 151 1.0× 56 1.2k
Shengen Yan China 14 371 0.8× 285 1.0× 252 1.2× 27 0.2× 495 3.3× 32 946
Zhihao Jia United States 15 178 0.4× 195 0.7× 408 2.0× 25 0.2× 299 2.0× 34 738
Charles M. Fiduccia United States 12 735 1.5× 515 1.8× 161 0.8× 22 0.1× 68 0.5× 19 1.4k
Dipankar Das India 8 219 0.4× 176 0.6× 221 1.1× 20 0.1× 347 2.3× 16 617
Ananda Samajdar United States 12 364 0.7× 212 0.7× 287 1.4× 33 0.2× 422 2.8× 17 941

Countries citing papers authored by Fredrik Kjølstad

Since Specialization
Citations

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

Fields of papers citing papers by Fredrik Kjølstad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fredrik Kjølstad

This figure shows the co-authorship network connecting the top 25 collaborators of Fredrik Kjølstad. A scholar is included among the top collaborators of Fredrik Kjølstad 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 Fredrik Kjølstad. Fredrik Kjølstad 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.
Kjølstad, Fredrik, et al.. (2025). A Probabilistic Perspective on Tiling Sparse Tensor Algebra. 795–808.
2.
3.
Aiken, Alex, et al.. (2025). KDRSolvers: Scalable, Flexible, Task-Oriented Krylov Solvers. 1351–1365.
4.
Kjølstad, Fredrik, et al.. (2024). Compiling Recurrences over Dense and Sparse Arrays. Proceedings of the ACM on Programming Languages. 8(OOPSLA1). 250–275.
5.
Kjølstad, Fredrik, et al.. (2024). The Dataflow Abstract Machine Simulator Framework. 532–547. 1 indexed citations
6.
Kjølstad, Fredrik, et al.. (2024). Compiler Support for Sparse Tensor Convolutions. Proceedings of the ACM on Programming Languages. 8(OOPSLA2). 275–303. 1 indexed citations
7.
Kjølstad, Fredrik, et al.. (2024). Compilation of Modular and General Sparse Workspaces. Proceedings of the ACM on Programming Languages. 8(PLDI). 1213–1238. 3 indexed citations
8.
Bik, Aart J. C., et al.. (2024). Compilation of Shape Operators on Sparse Arrays. Proceedings of the ACM on Programming Languages. 8(OOPSLA2). 1162–1188.
9.
Kjølstad, Fredrik, et al.. (2023). Indexed Streams: A Formal Intermediate Representation for Fused Contraction Programs. Proceedings of the ACM on Programming Languages. 7(PLDI). 1169–1193. 4 indexed citations
10.
Kjølstad, Fredrik, et al.. (2023). BaCO: A Fast and Portable Bayesian Compiler Optimization Framework. 19–42. 13 indexed citations
11.
Lee, Wonchan, et al.. (2023). Legate Sparse: Distributed Sparse Computing in Python. 1–13. 1 indexed citations
12.
Olukotun, Kunle, et al.. (2023). Mosaic: An Interoperable Compiler for Tensor Algebra. Proceedings of the ACM on Programming Languages. 7(PLDI). 394–419. 5 indexed citations
13.
Kjølstad, Fredrik, et al.. (2023). Looplets: A Language for Structured Coiteration. 41–54. 10 indexed citations
14.
Aiken, Alex, et al.. (2022). SpDISTAL: Compiling Distributed Sparse Tensor Computations. 1–15. 2 indexed citations
15.
Bik, Aart J. C., et al.. (2022). Compiler Support for Sparse Tensor Computations in MLIR. ACM Transactions on Architecture and Code Optimization. 19(4). 1–25. 28 indexed citations
16.
Liu, Qiaoyi, et al.. (2022). Unified Buffer: Compiling Image Processing and Machine Learning Applications to Push-Memory Accelerators. ACM Transactions on Architecture and Code Optimization. 20(2). 1–26. 11 indexed citations
17.
Chou, Stephen Y., Fredrik Kjølstad, & Saman Amarasinghe. (2018). Unified Sparse Formats for Tensor Algebra Compilers.. arXiv (Cornell University). 2 indexed citations
18.
Schneider, Timo, Fredrik Kjølstad, & Torsten Hoefler. (2013). MPI datatype processing using runtime compilation. 19–24. 20 indexed citations
19.
Kjølstad, Fredrik, Torsten Hoefler, & Marc Snir. (2012). Automatic datatype generation and optimization. 327–328. 14 indexed citations
20.
Kjølstad, Fredrik & Marc Snir. (2010). Ghost Cell Pattern. 1–9. 43 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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