Carlo Bertolli

1.1k total citations
35 papers, 411 citations indexed

About

Carlo Bertolli is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Carlo Bertolli has authored 35 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 26 papers in Hardware and Architecture and 10 papers in Information Systems. Recurrent topics in Carlo Bertolli's work include Parallel Computing and Optimization Techniques (24 papers), Distributed and Parallel Computing Systems (19 papers) and Advanced Data Storage Technologies (19 papers). Carlo Bertolli is often cited by papers focused on Parallel Computing and Optimization Techniques (24 papers), Distributed and Parallel Computing Systems (19 papers) and Advanced Data Storage Technologies (19 papers). Carlo Bertolli collaborates with scholars based in United Kingdom, United States and Italy. Carlo Bertolli's co-authors include Paul H. J. Kelly, Gihan R. Mudalige, Michael B. Giles, István Z. Reguly, Samuel Antão, Arpith C. Jacob, Marco Vanneschi, Alexandre E. Eichenberger, Gabriele Mencagli and Zehra Sura and has published in prestigious journals such as IBM Journal of Research and Development, Journal of Parallel and Distributed Computing and Wireless Communications and Mobile Computing.

In The Last Decade

Carlo Bertolli

33 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlo Bertolli United Kingdom 12 313 276 113 41 36 35 411
R. Biswas United States 11 311 1.0× 222 0.8× 121 1.1× 28 0.7× 61 1.7× 32 434
Olga Pearce United States 10 297 0.9× 273 1.0× 106 0.9× 28 0.7× 28 0.8× 30 443
Kalyan Kumaran United States 13 365 1.2× 302 1.1× 144 1.3× 22 0.5× 73 2.0× 25 506
Ryusuke Egawa Japan 10 239 0.8× 205 0.7× 99 0.9× 19 0.5× 42 1.2× 87 419
Elliott Slaughter United States 9 516 1.6× 521 1.9× 197 1.7× 32 0.8× 56 1.6× 21 636
Catherine Olschanowsky United States 14 251 0.8× 208 0.8× 78 0.7× 29 0.7× 57 1.6× 29 388
Jianwei Li China 10 293 0.9× 135 0.5× 99 0.9× 32 0.8× 84 2.3× 25 521
Brian Toonen United States 12 691 2.2× 526 1.9× 141 1.2× 33 0.8× 49 1.4× 24 813
Christian Terboven Germany 9 179 0.6× 155 0.6× 90 0.8× 9 0.2× 48 1.3× 41 300
Laksono Adhianto United States 9 477 1.5× 433 1.6× 196 1.7× 10 0.2× 40 1.1× 17 594

Countries citing papers authored by Carlo Bertolli

Since Specialization
Citations

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

Fields of papers citing papers by Carlo Bertolli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlo Bertolli

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Bertolli. A scholar is included among the top collaborators of Carlo Bertolli 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 Carlo Bertolli. Carlo Bertolli 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.
Bertolli, Carlo, et al.. (2024). Performance Analysis of Runtime Handling of Zero-Copy for OpenMP Programs on MI300A APUs. 1420–1429. 3 indexed citations
2.
Chakrabarti, Dhruva R., et al.. (2023). Specialized Kernels for Optimizing GPU Offload in OpenMP. 1918–1928.
3.
Bercea, Gheorghe-Teodor, et al.. (2019). An open-source solution to performance portability for Summit and Sierra supercomputers. IBM Journal of Research and Development. 64(3/4). 12:1–12:23.
4.
Jacob, Arpith C., Alexandre E. Eichenberger, Hyojin Sung, et al.. (2017). Efficient Fork-Join on GPUs Through Warp Specialization. 7 indexed citations
5.
Martineau, Matt, Simon McIntosh‐Smith, Carlo Bertolli, et al.. (2016). Performance analysis and optimization of Clang's OpenMP 4.5 GPU support. IEEE International Conference on High Performance Computing, Data, and Analytics. 54–64. 8 indexed citations
6.
Martineau, Matt, Simon McIntosh‐Smith, Carlo Bertolli, et al.. (2016). Performance Analysis and Optimization of Clang's OpenMP 4.5 GPU Support. Bristol Research (University of Bristol). 54–64. 7 indexed citations
7.
Antão, Samuel, Arpith C. Jacob, Gheorghe-Teodor Bercea, et al.. (2016). Offloading Support for OpenMP in Clang and LLVM. 1–11. 22 indexed citations
8.
Sura, Zehra, Arpith C. Jacob, Tong Chen, et al.. (2015). Data access optimization in a processing-in-memory system. 1–8. 31 indexed citations
9.
Bertolli, Carlo, Samuel Antão, Gheorghe-Teodor Bercea, et al.. (2015). Integrating GPU support for OpenMP offloading directives into Clang. 1–11. 27 indexed citations
10.
Strout, Michelle Mills, Fabio Luporini, Christopher D. Krieger, et al.. (2014). Generalizing Run-Time Tiling with the Loop Chain Abstraction. Civil War Book Review. 1136–1145. 11 indexed citations
11.
Bertolli, Carlo, et al.. (2014). Coordinating GPU Threads for OpenMP 4.0 in LLVM. 12–21. 38 indexed citations
12.
Mudalige, Gihan R., Michael B. Giles, Jeyan Thiyagalingam, et al.. (2013). Design and initial performance of a high-level unstructured mesh framework on heterogeneous parallel systems. Parallel Computing. 39(11). 669–692. 21 indexed citations
13.
Bertolli, Carlo, Adam Betts, Paul H. J. Kelly, Gihan R. Mudalige, & Michael B. Giles. (2012). Mesh independent loop fusion for unstructured mesh applications. 43–52. 3 indexed citations
14.
Mudalige, Gihan R., Michael B. Giles, Carlo Bertolli, & Paul H. J. Kelly. (2012). Predictive modeling and analysis of OP2 on distributed memory GPU clusters. ACM SIGMETRICS Performance Evaluation Review. 40(2). 61–67. 5 indexed citations
15.
Mudalige, Gihan R., Michael B. Giles, Carlo Bertolli, & Paul H. J. Kelly. (2011). Predictive modeling and analysis of OP2 on distributed memory GPU clusters. 3–4. 1 indexed citations
16.
Bertolli, Carlo, Gabriele Mencagli, & Marco Vanneschi. (2011). Consistent reconfiguration protocols for adaptive high-performance applications. CINECA IRIS Institutial research information system (University of Pisa). 23. 2121–2126. 3 indexed citations
17.
Bertolli, Carlo, Daniele Tarchi, Romano Fantacci, Marco Vanneschi, & Andrea Tassi. (2010). An integrated communication-computing solution in emergency management. 651–655. 2 indexed citations
18.
Bertolli, Carlo, Gabriele Mencagli, & Marco Vanneschi. (2010). A cost model for autonomic reconfigurations in high-performance pervasive applications. CINECA IRIS Institutial research information system (University of Pisa). 20–29. 9 indexed citations
19.
Bertolli, Carlo, et al.. (2009). A Programming Model for High-Performance Adaptive Applications on Pervasive Mobile Grids. CINECA IRIS Institutial research information system (University of Pisa). 2 indexed citations
20.
Aldinucci, Marco, et al.. (2006). Self-configuring and self-optimizing grid components in the GCM model and their ASSIST implementation. CINECA IRIS Institutial research information system (University of Pisa). 45–52. 2 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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