Benoît Meister

624 total citations
29 papers, 344 citations indexed

About

Benoît Meister is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Benoît Meister has authored 29 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Hardware and Architecture, 13 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Benoît Meister's work include Parallel Computing and Optimization Techniques (23 papers), Distributed and Parallel Computing Systems (11 papers) and Advanced Data Storage Technologies (7 papers). Benoît Meister is often cited by papers focused on Parallel Computing and Optimization Techniques (23 papers), Distributed and Parallel Computing Systems (11 papers) and Advanced Data Storage Technologies (7 papers). Benoît Meister collaborates with scholars based in United States, France and Netherlands. Benoît Meister's co-authors include Richard Lethin, Muthu Manikandan Baskaran, Nicolas Vasilache, Philippe Clauss, Vincent Loechner, Cédric Bastoul, Rob Knauerhase, Justin Teller, Sven Verdoolaege and Mani Baskaran and has published in prestigious journals such as IEEE Computer Graphics and Applications, The Journal of Supercomputing and ACM Transactions on Architecture and Code Optimization.

In The Last Decade

Benoît Meister

28 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benoît Meister United States	10	269	191	84	76	50	29	344
Benjamin Lipshitz United States	8	191 0.7×	175 0.9×	47 0.6×	78 1.0×	31 0.6×	14	269
Hongbo Rong United States	10	265 1.0×	163 0.9×	43 0.5×	70 0.9×	20 0.4×	29	317
Oleksandr Zinenko United States	6	256 1.0×	120 0.6×	19 0.2×	132 1.7×	42 0.8×	11	373
Anand Venkat United States	10	178 0.7×	120 0.6×	19 0.2×	60 0.8×	16 0.3×	12	223
Israt Nisa United States	9	189 0.7×	124 0.6×	81 1.0×	124 1.6×	30 0.6×	16	302
Martin Kong United States	9	196 0.7×	133 0.7×	8 0.1×	59 0.8×	42 0.8×	23	240
Anton Lokhmotov United Kingdom	7	183 0.7×	157 0.8×	12 0.1×	46 0.6×	17 0.3×	12	250
Manu Shantharam United States	9	205 0.8×	182 1.0×	7 0.1×	56 0.7×	43 0.9×	18	289
Mehdi Amini United States	5	198 0.7×	105 0.5×	12 0.1×	124 1.6×	36 0.7×	6	316
Kamen Yotov United States	8	362 1.3×	271 1.4×	5 0.1×	98 1.3×	74 1.5×	12	408

Countries citing papers authored by Benoît Meister

Since Specialization

Citations

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

Fields of papers citing papers by Benoît Meister

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Meister

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

All Works

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20 of 20 papers shown

Wang, Fei, Benjamin Delaware, Roopsha Samanta, et al.. (2021). HACCLE: metaprogramming for secure multi-party computation. 130–143. 5 indexed citations

Meister, Benoît, et al.. (2019). PUMA-V: Optimizing Parallel Code Performance Through Interactive Visualization. IEEE Computer Graphics and Applications. 39(1). 84–99.

Baskaran, Muthu Manikandan, et al.. (2019). Automatic Parallelization to Asynchronous Task-Based Runtimes Through a Generic Runtime Layer. 1–11. 1 indexed citations

Meister, Benoît, et al.. (2019). Polyhedral Tensor Schedulers. 15. 504–512. 1 indexed citations

Mueller, Klaus, et al.. (2016). PUMA-V: An interactive visual tool for code optimization and parallelization based on the polyhedral model. 1–4. 2 indexed citations

Baskaran, Muthu Manikandan, et al.. (2016). Automatic code generation and data management for an asynchronous task-based runtime. 34–41. 1 indexed citations

Baskaran, Muthu Manikandan, et al.. (2016). Automatic Code Generation and Data Management for an Asynchronous Task-Based Runtime. abs 1409 1914. 34–41. 4 indexed citations

Mueller, Klaus, et al.. (2016). An Interactive Visual Tool for Code Optimization and Parallelization Based on the Polyhedral Model. 22. 309–318. 1 indexed citations

Ramananandro, Tahina, et al.. (2016). A unified Coq framework for verifying C programs with floating-point computations. 15–26. 12 indexed citations

10.

Baskaran, Muthu Manikandan, Tom Henretty, Taku Izubuchi, et al.. (2015). Polyhedral user mapping and assistant visualizer tool for the r-stream auto-parallelizing compiler. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 180–184. 2 indexed citations

11.

Baskaran, Muthu Manikandan, et al.. (2015). Optimization of symmetric tensor computations. 11. 1–7. 10 indexed citations

12.

Baskaran, Muthu Manikandan, Benoît Meister, & Richard Lethin. (2014). Low-overhead load-balanced scheduling for sparse tensor computations. 1–6. 17 indexed citations

13.

Márquez, Andrés, et al.. (2014). ACDT: Architected Composite Data Types trading-in unfettered data access for improved execution. 55455. 289–297. 1 indexed citations

14.

Vasilache, Nicolas, Muthu Manikandan Baskaran, Benoît Meister, & Richard Lethin. (2013). Memory reuse optimizations in the R-Stream compiler. 42–53. 5 indexed citations

15.

Vasilache, Nicolas, et al.. (2012). Joint scheduling and layout optimization to enable multi-level vectorization. 10 indexed citations

16.

Baskaran, Muthu Manikandan, Benoît Meister, Nicolas Vasilache, & Richard Lethin. (2012). Efficient and scalable computations with sparse tensors. 1–6. 45 indexed citations

17.

Baskaran, Muthu Manikandan, Nicolas Vasilache, Benoît Meister, et al.. (2011). Automatic generation of GPU‐accelerated code for seismic stencil applications. 3470–3474. 2 indexed citations

18.

Meister, Benoît. (2004). Projecting Periodic Polyhedra for Loop Nest Analysis. 1 indexed citations

19.

Loechner, Vincent, Benoît Meister, & Philippe Clauss. (2002). Precise Data Locality Optimization of Nested Loops. The Journal of Supercomputing. 21(1). 37–76. 29 indexed citations

20.

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

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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