Philippe Clauss

1.1k total citations
31 papers, 374 citations indexed

About

Philippe Clauss is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Philippe Clauss has authored 31 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hardware and Architecture, 24 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Philippe Clauss's work include Parallel Computing and Optimization Techniques (22 papers), Distributed and Parallel Computing Systems (10 papers) and Advanced Data Storage Technologies (10 papers). Philippe Clauss is often cited by papers focused on Parallel Computing and Optimization Techniques (22 papers), Distributed and Parallel Computing Systems (10 papers) and Advanced Data Storage Technologies (10 papers). Philippe Clauss collaborates with scholars based in France, Sweden and Belgium. Philippe Clauss's co-authors include Vincent Loechner, Alain Ketterlin, Benoît Meister, Alexandra Jimborean, Aravind Sukumaran-Rajam, Diego Garbervetsky, Sven Verdoolaege, Erven Rohou, Bérenger Bramas and Rosa M. Badía and has published in prestigious journals such as ACM SIGPLAN Notices, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Acta Informatica.

In The Last Decade

Philippe Clauss

29 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Clauss France 11 287 231 87 74 42 31 374
Vincent Loechner France 7 216 0.8× 158 0.7× 75 0.9× 85 1.1× 37 0.9× 24 355
Kristof Beyls Belgium 7 321 1.1× 269 1.2× 57 0.7× 42 0.6× 55 1.3× 19 408
Sourav Chakraborty United States 11 124 0.4× 198 0.9× 100 1.1× 188 2.5× 44 1.0× 59 419
Jan Óbdržálek Czechia 9 151 0.5× 195 0.8× 100 1.1× 178 2.4× 9 0.2× 23 379
W. H. J. Feijen Netherlands 6 89 0.3× 173 0.7× 131 1.5× 144 1.9× 20 0.5× 12 338
A. C. McKellar United States 6 164 0.6× 183 0.8× 117 1.3× 89 1.2× 37 0.9× 9 326
Bohdan S. Majewski Australia 6 52 0.2× 87 0.4× 152 1.7× 64 0.9× 23 0.5× 7 246
Jonathan M. D. Hill United Kingdom 7 292 1.0× 330 1.4× 70 0.8× 37 0.5× 19 0.5× 16 391
Cédric Bastoul France 9 436 1.5× 307 1.3× 107 1.2× 58 0.8× 36 0.9× 18 496
Kathleen Knobe United States 11 453 1.6× 419 1.8× 116 1.3× 51 0.7× 33 0.8× 23 545

Countries citing papers authored by Philippe Clauss

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Clauss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Clauss

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Clauss. A scholar is included among the top collaborators of Philippe Clauss 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 Philippe Clauss. Philippe Clauss 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.
Bramas, Bérenger, et al.. (2023). Extending the Task Dataflow Model with Speculative Data Accesses. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
2.
Ejarque, Jorge, et al.. (2020). AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in Python. The International Journal of High Performance Computing Applications. 34(6). 659–675. 2 indexed citations
3.
Rohou, Erven, et al.. (2016). Runtime Vectorization Transformations of Binary Code. International Journal of Parallel Programming. 45(6). 1536–1565. 8 indexed citations
4.
Jimborean, Alexandra, et al.. (2013). Dynamic and Speculative Polyhedral Parallelization Using Compiler-Generated Skeletons. International Journal of Parallel Programming. 42(4). 529–545. 20 indexed citations
5.
Ketterlin, Alain & Philippe Clauss. (2012). Profiling Data-Dependence to Assist Parallelization: Framework, Scope, and Optimization. HAL (Le Centre pour la Communication Scientifique Directe).
6.
Jimborean, Alexandra, et al.. (2012). Adapting the polyhedral model as a framework for efficient speculative parallelization. HAL (Le Centre pour la Communication Scientifique Directe). 295–296. 3 indexed citations
7.
Ketterlin, Alain, et al.. (2012). Polyhedral parallelization of binary code. ACM Transactions on Architecture and Code Optimization. 8(4). 1–21. 10 indexed citations
8.
Clauss, Philippe, et al.. (2011). Adaptive runtime selection of parallel schedules in the polytope model. IEEE International Conference on High Performance Computing, Data, and Analytics. 81–88. 4 indexed citations
9.
Ketterlin, Alain & Philippe Clauss. (2011). Efficient memory tracing by program skeletonization. 97–106. 2 indexed citations
10.
Ketterlin, Alain, et al.. (2011). Transparent Parallelization of Binary Code. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
11.
Jimborean, Alexandra, Vincent Loechner, & Philippe Clauss. (2011). Handling Multi-Versioning in LLVM: Code Tracking and Cloning. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
12.
Clauss, Philippe, et al.. (2009). Symbolic Polynomial Maximization Over Convex Sets and Its Application to Memory Requirement Estimation. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 17(8). 983–996. 13 indexed citations
13.
Ketterlin, Alain & Philippe Clauss. (2008). Prediction and trace compression of data access addresses through nested loop recognition. HAL (Le Centre pour la Communication Scientifique Directe). 94–103. 21 indexed citations
14.
Clauss, Philippe, et al.. (2007). Performance driven data cache prefetching in a dynamic software optimization system. HAL (Le Centre pour la Communication Scientifique Directe). 202–209. 11 indexed citations
15.
Clauss, Philippe, et al.. (2006). Polyhedral Modeling and Analysis of Memory Access Profiles. 19. 191–198. 2 indexed citations
16.
Clauss, Philippe, et al.. (2002). Optimal mapping of systolic algorithms by regular instruction shifts. 224–235. 3 indexed citations
17.
18.
Clauss, Philippe & Benoît Meister. (2000). Automatic memory layout transformations to optimize spatial locality in parameterized loop nests. ACM SIGARCH Computer Architecture News. 28(1). 11–19. 11 indexed citations
19.
Clauss, Philippe & Vincent Loechner. (1998). Parametric Analysis of Polyhedral Iteration Spaces. The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 19(2). 179–194. 88 indexed citations
20.
Clauss, Philippe. (1996). Counting solutions to linear and nonlinear constraints through Ehrhart polynomials. 278–285. 54 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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