This page reports the updated list of my scientific publications. Most of the pdf files are preprint versions and they may be different from the published versions present online. My H-index is equal to 14 for Scopus and 20 for Google Scholar.
Journal Papers
2024
32. G. Mencagli, M. Torquati, D. Griebler, A. Fais, and M. Danelutto. General-purpose data stream processing on heterogeneous architectures with WindFlow. Journal of Parallel and Distributed Computing (JPDC). 2024, Elsevier. ISSN: 0743-7315, DOI: https://doi.org/10.1016/j.jpdc.2023.104782. Link
2023
31. N.Tonci, M. Torquati, G. Mencagli, and M. Danelutto. Distributed-Memory FastFlow Building Blocks. International Journal of Parallel Programming. 2023, Springer. ISSN: 0885-7458, DOI: https://doi.org/10.1007/s10766-022-00750-5. Link
30. A. Vogel, G. Mencagli, D. Griebler, M. Danelutto, and L. G. Fernandes. Online and transparent self-adaptation of stream parallel patterns. Computing, 2023, Springer. ISSN: 0010-485X, DOI: https://doi.org/10.1007/s00607-021-00998-8. Preprint
2021
29. J. Löff, D. Griebler, G. Mencagli, G. Araujo, M. Torquati, M. Danelutto, and L. G. Fernandes. The NAS Parallel Benchmarks for Evaluating C++ Parallel Programming Frameworks on Shared-Memory Architectures. Future Generation Computing Systems, 2021, Elsevier. ISSN: 0167-739X, DOI: https://doi.org/10.1016/j.future.2021.07.021. The paper has been nominated "Fall 2023 Editor’s Choice Paper” by the Elsevier FGCS Editorial Board
. Preprint
28. G. Mencagli, M. Torquati, A. Cardaci, A. Fais, L. Rinaldi, and M. Danelutto. WindFlow: High-Speed Continuous Stream Processing with Parallel Building Blocks. IEEE Transactions on Parallel and Distributed Systems, 2021, IEEE. ISSN: 1045-9219, DOI: https://doi.org/10.1109/TPDS.2017.2679197. Preprint
27. M. Danelutto, G. Mencagli, M. Torquati, H. G.-Vélez, P. Kilpatrick. Algorithmic Skeletons and Parallel Design Patterns in Mainstream Parallel Programming. International Journal of Parallel Programming, 2021, Springer. ISSN: 0885-7458, DOI: https://doi.org/10.1007/s10766-020-00684-w. Link
2020
26. M. V. Bordin, D. Griebler, G. Mencagli, Claudio F. R. Geyer, Luiz G. L. Fernandes. DSPBench: a Suite of Benchmark Applications for Distributed Data Stream Processing Systems. IEEE Access, 2020, IEEE. ISSN: 2169-3536, DOI: https://doi.org/10.1109/ACCESS.2020.3043948. Link
25. L. Rinaldi, M. Torquati, D. De Sensi, G. Mencagli and M. Danelutto. Improving the Performance of Actors on Multi-cores with Parallel Patterns. International Journal of Parallel Programming, 2020, Springer. ISSN: 0885-7458, DOI: https://doi.org/10.1007/s10766-020-00663-1. Link
24. C. M. Stein, D. A. Rockenbach, D. Griebler, M. Torquati, G. Mencagli, M. Danelutto, L. G. Fernandes. Latency‐aware adaptive micro‐batching techniques for streamed data compression on graphics processing units. Concurrency and Computation, 2020, John Wiley & Sons. ISSN: 1532-0634, DOI: https://doi.org/10.1002/cpe.5786. Preprint
2019
23. G. Mencagli, M. Torquati, D. Griebler, M. Danelutto and L. G. Fernandes. Raising the Parallel Abstraction Level for Streaming Analytics Applications. IEEE Access, 2019, IEEE. ISSN: 2169-3536, DOI: https://doi.org/10.1109/ACCESS.2019.2941183. Link
22. T. De Matteis, G. Mencagli, D. De Sensi, M. Torquati and M. Danelutto. GASSER: an Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs. IEEE Access, 2019, IEEE. ISSN: 2169-3536, DOI: https://doi.org/10.1109/ACCESS.2019.2910312. Link
21. J. D. Garcia, D. del Rio, M. Aldinucci, F. Tordini, M. Danelutto, G. Mencagli and M. Torquati. Challenging the Abstraction Penalty in Parallel Patterns Libraries. Journal of Supercomputing, 2019, Springer. ISSN: 1573-0484, DOI: https://doi.org/10.1007/s11227-019-02826-5. Link
20. M. Torquati, D. De Sensi, G. Mencagli, M. Danelutto and M. Aldinucci. Power-Aware Pipelining with Automatic Concurrency Control. Concurrency and Computation, 2019, John Wiley & Sons. ISSN: 1532-0634, DOI: https://doi.org/10.1002/cpe.4652. Preprint
19. Caio B. G. Carvalho, Victor da Cruz Ferreira, Felipe Maia Galvão França, Cristiana Barbosa Bentes, Gabriele Mencagli, Tiago Assumpção de Oliveira Alves, Alexandre da Costa Sena, Leandro Augusto Justen Marzulo. A Dataflow Runtime Environment and Static Scheduler for Edge, Fog and In-Situ Computing. International Journal of Grid and Utility Computing, 2019, Inderscience. ISSN: 1741-847X, DOI: https://doi.org/10.1504/IJGUC.2019.099685. Preprint
2018
18. G. Mencagli, M. Torquati and M. Danelutto. Elastic-PPQ: a Two-level Autonomic System for Spatial Preference Query Processing over Dynamic Data Streams. Future Generation Computer Systems, 2018, Elsevier. ISSN: 0167-739X, DOI: https://doi.org/10.1016/j.future.2017.09.004. Preprint
17. G. Mencagli, M. Vanneschi and S. Lametti. The Home-Forwarding Mechanism to Reduce the Cache Coherence Overhead in Next-Generation CMPs. Future Generation Computer Systems, 2018, Elsevier. ISSN: 0167-739X, DOI: https://doi.org/10.1016/j.future.2017.01.009. Preprint
16. G. Mencagli, M. Torquati, F. Lucattini, S. Cuomo and M. Aldinucci. Harnessing Sliding-Window Execution Semantics for Parallel Stream Processing. Journal of Parallel and Distributed Computing, 2018, Elsevier. ISSN: 0743-7315, DOI: https://doi.org/10.1016/j.jpdc.2017.10.021. Preprint
15. M. Danelutto, T. De Matteis, G. Mencagli and M. Torquati. Data Stream Processing via Code Annotations. Journal of Supercomputing, 2018, Springer. ISSN: 0920-8542, DOI: https://doi.org/10.1007/s11227-016-1793-9. Preprint
14. M. Denelutto, P. Kilpatrick, G. Mencagli and M. Torquati. State Access Patterns in Stream Parallel Computations. International Journal of High Performance Computing Applications, 2018, Sage Publications. ISSN: 1094-3420, DOI: https://doi.org/10.1177/1094342017694134. Preprint
2017
13. M. Danelutto, T. De Matteis, D. De Sensi, G. Mencagli, M. Torquati, M. Aldinucci and P. Kilpatrick. The RePhrase Extended Pattern Set for Data Intensive Parallel Computing. International Journal of Parallel Programming, 2017, Springer. ISSN: 0885-7458, DOI: https://doi.org/10.1007/s10766-017-0540-z. Preprint
12. M. Torquati, G. Mencagli, M. Drocco, M. Aldinucci, T. De Matteis and M. Danelutto. On Dynamic Memory Allocation in Sliding-Window Parallel Patterns for Streaming Analytics. Journal of Supercomputing, 2017, Springer. ISSN: 0920-8542, DOI: https://doi.org/10.1007/s11227-017-2152-1. Preprint
11. D. De Sensi, T. De Matteis, M. Torquati, G. Mencagli and M. Danelutto. Bringing Parallel Patterns out of the Corner: the P3ARSEC Benchmark Suite. ACM Transactions on Architecture and Code Optimization, 2017, ACM. ISSN: 1544-3566, DOI: https://doi.org/10.1145/3132710. Preprint
10. G. Mencagli, M. Torquati, M. Danelutto and T. De Matteis. Parallel Continuous Preference Queries over Out-of-Order and Bursty Data Streams. IEEE Transactions on Parallel and Distributed Systems, 2017, IEEE. ISSN: 1045-9219, DOI: https://doi.org/10.1109/TPDS.2017.2679197. Preprint
9. T. De Matteis and G. Mencagli. Proactive Elasticity and Energy Awareness in Data Stream Processing. Journal of Systems and Software, 2017, Elsevier. ISSN: 0164-1212, DOI: https://doi.org/10.1016/j.jss.2016.08.037. Preprint
8. T. De Matteis and G. Mencagli. Parallel Patterns for Window-based Stateful Operators on Data Streams: an Algorithmic Skeleton Approach. International Journal of Parallel Programming, 2017, Springer. ISSN: 0885-7458, DOI: https://doi.org/10.1007/s10766-016-0413-x. Preprint
2016
7. G. Mencagli. A Game-Theoretic Approach for Elastic Distributed Data Stream Processing. ACM Transactions on Autonomous and Adaptive Systems, 2016, ACM. ISSN: 1556-4703, DOI: https://doi.org/10.1145/2903146. Preprint
6. T. De Matteis, S. Di Girolamo and G. Mencagli. Continuous Skyline Queries on Multicore Architectures. Concurrency and Computation, 2016, John Wiley & Sons. ISSN: 1532-0634, DOI: https://doi.org/10.1002/cpe.3866. Preprint
5. G. Mencagli. Adaptive Model Predictive Control of Autonomic Distributed Parallel Computations with Variable Horizons and Switching Costs. Concurrency and Computation, 2016, John Wiley & Sons. ISSN: 1532-0634, DOI: https://doi.org/10.1002/cpe.3495. Preprint
2014
4. G. Mencagli, E. Vespa, M. Vanneschi. A Cooperative Predictive Control Approach to improve the Reconfiguration Stability of Adaptive Distributed Parallel Applications. ACM Transactions on Autonomous and Adaptive Systems, 2014, ACM. ISSN: 1556-4703, DOI: https://doi.org/10.1145/2567929. Preprint
3. D. Buono, G. Mencagli, A. Pascucci and M. Vanneschi. Performance Analysis and Structured Parallelisation of the Space–time Adaptive Processing Computational Kernel on Multi-core Architectures. International Journal of Parallel, Emergent and Distributed Systems, 2014, Taylor and Francis. ISSN: 1744-5760, DOI: https://doi.org/10.1080/17445760.2014.885967. Preprint
2. G. Mencagli and M. Vanneschi. Towards a Systematic Approach to the Dynamic Adaptation of Structured Parallel Computations using Model Predictive Control. Cluster Computing, 2014, Springer. ISSN: 1386-7857, DOI: https://doi.org/10.1007/s10586-014-0346-3. Preprint
2009
1. C. Bertolli, R. Fantacci, G. Mencagli, D. Tarchi and M. Vanneschi. Next Generation Grids and Wireless Communication Networks: Towards a Novel Integrated Approach. Wireless Communications and Mobile Computing, 2009, John Wiley & Sons. ISSN: 1530-8669, DOI: https://doi.org/10.1002/wcm.v9:4. PDF
Conference and Workshop Papers
2023
42. M. Aldinucci, R. Birke, A. Brogi, E. Carlini, M. Coppola, M. Danelutto, P. Dazzi, L. Ferrucci, S. Forti, H. Kavalionak, G. Mencagli, M. Mordacchini, M. Pasin, F. Paganelli, and M. Torquati. A Proposal for a Continuum-aware Programming Model: From Workflows to Services Autonomously Interacting in the Compute Continuum. In proceedings of the 1st IEEE International Workshop on Workflows in Distributed Environments on the Edge (WIDE 2023), co-located with COMPSAC 2023, Turin, Italy. ISBN: 979-8-3503-2697-0, DOI: https://doi.org/10.1109/COMPSAC57700.2023.00287. Preprint
41. F. Frasca, V. Gulisano, G. Mencagli, D. Palyvos-Giannas and M. Torquati. Accelerating Stream Processing Queries with Congestion-aware Scheduling and Real-time Linux Threads. In proceedings of the 20th ACM International Conference on Computing Frontiers (CF), Bologna, Italy, 2023. ISBN: 979-840070140-5, DOI: https://doi.org/10.1145/3587135.3592202. Preprint
40. A. Ottimo, G. Mencagli and M. Danelutto. FSP: a Framework for Data Stream Processing Applications targeting FPGAs. In proceedings of the 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Naples, Italy, 2023. ISBN: 979-8-3503-3763-1, DOI: https://doi.org/10.1109/PDP59025.2023.00021. Preprint
39. M. Danelutto, G. Mencagli, A. Ottimo, F. Iannone and P. Palazzari. FastFlow targeting FPGAs. In proceedings of the 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Naples, Italy, 2023. ISBN: 979-8-3503-3763-1, DOI: https://doi.org/10.1109/PDP59025.2023.00023. Preprint
2022
38. G. Mencagli, D. Griebler and M. Danelutto. Towards Parallel Data Stream Processing on System-on-Chip CPU+GPU Devices. In proceedings of the 30th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Valladolid, Italy, 2022. ISBN: 978-166546958-6, DOI: https://doi.org/10.1109/PDP55904.2022.00014. Preprint
2021
37. D. Palyvos-Giannas, G. Mencagli, M. Papatriantafilou and V. Gulisano. Lachesis: a middleware for customizing OS scheduling of stream processing queries. In Proceedings of the 22nd International Middleware Conference (Middleware '21). New York, NY, USA, 2022. ISBN: 978-1-4503-8534-3, DOI: https://doi.org/10.1145/3464298.3493407.
36. D. Bacciu, S. Akarmazyan, E. Armengaud, M. Bacco, G. Bravos, C. Calandra, E. Carlini, A. Carta, P. Cassarà, M. Coppola, C. Davalas, P. Dazzi, M. Degennaro, S. Carmela; D. Di Sarli, J. Dobaj, C. Gallicchio S. Girbal, A. Gotta. R. Groppo, V. Lomonaco, G. Macher, D. Mazzei, G. Mencagli, D. Michail, A. Micheli, R. Peroglio, S. Petroni, R. Potenza, F. Pourdanesh, C. Sardianos, K. Tserpes, F. Tagliabò, J. Valtl, I. Varlamis, O. Veledar. TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. In proceedings of the 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS 2021), Virtual Conference, 2021. ISBN: 978-1-6654-3156-9, DOI: https://doi.org/10.1109/COINS51742.2021.9524099. Preprint
35. E. Carlini, L. Carnevale, M. Coppola, P. Dazzi, G. Mencagli, D. Talia, and M. Villari. 2020. An Osmotic Ecosystem for Data Streaming Applications in Smart Cities. In proceedings of the 1st Workshop on Flexible Resource and Application Management on the Edge (Frame 2021), co-located with HPDC 2021, Stockholm, Sweden, 2021. ISBN: 978-145038384-4, DOI: https://doi.org/10.1145/3452369.3463822. Preprint
2020
34. A. Vogel, G. Mencagli, D. Griebler, M. Denelutto, L. G. Fernandes. Towards On-the-fly Self-Adaptation of Stream Parallel Patterns. In proceedings of the 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Valladolid, Italy, 2021. ISBN: 978-1-6654-1455-5, DOI: https://doi.org/10.1109/PDP52278.2021.00022. Preprint
33. L. Rinaldi, M. Torquati, G. Mencagli and M. Danelutto. High-Throughput Stream Processing with Actors. In proceedings of the 10th ACM SIGPLAN International Workshop on Programming Based on Actors, Agents, and Decentralized Control (AGERE 2020), co-located with SPLASH 2020, Chicago, USA, 2020. ISBN: 978-145038185-7, DOI: https://doi.org/10.1145/3427760.3428338. Preprint
2019
32. A. Vogel, C. Rista, E. Ewald, G. Justo, D. Griebler, G. Mencagli, L. G. Fernandes. Parallel Stream Processing with MPI for Video Analytics and Data Visualization. In proceedings of the 19th Symposium on High Performance Computing Systems (WSCAD 2019), San Paolo, Brazil. ISBN: 978-3-030-410, DOI: https://doi.org/10.1007/978-3-030-41050-6_7. Preprint
31. D. A. Rockenbach, C. M. Stein, D. Griebler, G. Mencagli, M. Torquati, M. Danelutto and L. G. Fernandes. Stream Processing on Multi-Cores with GPUs: Parallel Programming Models’ Challenges. In proceedings of the 8th Workshop on Parallel Programming Models - Special Edition on IoT and Machine Learning (MPP), co-located with IPDPS 2019, Rio de Janeiro, Brazil, 2019. ISBN: 978-1-7281-3510-6, DOI: https://doi.org/10.1109/IPDPSW.2019.00137. Preprint
30. M. Danelutto, D. De Sensi, G. Mencagli and M. Torquati. Autonomic Management Experiences in Structured Parallel Programming. In proceedings of the 2019 International Conference on High Performance Computing and Simulation (HPCS), Dublin, Ireland. ISBN: 978-172814484-9, DOI: https://doi.org/10.1109/HPCS48598.2019.9188228. Preprint
29. L. Rinaldi, M. Torquati, G. Mencagli, M. Danelutto and T. Menga. Accelerating Actor-based Applications with Parallel Patterns. In proceedings of the 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Pavia, Italy, 2019. ISBN: 978-1-7281-1644-0, DOI: https://doi.org/10.1109/EMPDP.2019.8671602. Preprint
2018
28. G. Mencagli, P. Dazzi and N. Tonci. SpinStreams: a Static Optimization Tool for Data Stream Processing Applications. In proceedings of the 2018 ACM/IFIP/USENIX Middleware Conference, Rennes, France, 2018. ISBN: 978-1-4503-5702-9, DOI: https://doi.org/10.1145/3274808.3274814. Preprint
27. D. Griebler, J. Loff, G. Mencagli, M. Danelutto and L. G. Fernandes. Efficient NAS Benchmark Kernels with C++ Parallel Programming. In proceedings of the 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Cambridge, United Kingdom, 2018. ISBN: 978-1-5386-4975-6, DOI: https://doi.org/10.1109/PDP2018.2018.00120. Preprint
26. M. Torquati, T. Menga, T. De Matteis, D. De Sensi and G. Mencagli. Reducing Message Latency and CPU Utilization in the CAF Actor Framework. In proceedings of the 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Cambridge, United Kingdom, 2018. ISBN: 978-1-5386-4975-6, DOI: https://doi.org/10.1109/PDP2018.2018.00028. Preprint
2017
25. A. Brogi, G. Mencagli, D. Neri, J. Soldani and M. Torquati. Container-based Support for Autonomic Data Stream Processing through the Fog. In proceedings of the 1st International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP), co-located with Euro-Par 2017, Santiago de Compostela, Spain, 2017. ISBN: 978-3-319-75177-1, DOI: https://doi.org/10.1007/978-3-319-75178-8_2. Preprint
24. M. Danelutto, T. De Matteis, D. De Sensi, G. Mencagli and M. Torquati. P3ARSEC: Towards Parallel Patterns Benchmarking. In proceedings of the 32nd ACM SIGAPP Symposium on Applied Computing (SAC), Marrakesh, Morocco, 2017. ISBN: 978-145034486-9, DOI: https://doi.org/10.1145/3019612.3019745. Preprint
23. T. De Matteis and G. Mencagli. Elastic Scaling for Distributed Latency-sensitive Data Stream Operators. In proceedings of the 25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Saint-Petersburg, Russia, 2017. ISBN: 978-150906058-0, DOI: https://doi.org/10.1109/PDP.2017.31. Preprint
2016
22. T. De Matteis, M. Danelutto, G. Mencagli and M. Torquati. A Divide-and-Conquer Parallel Pattern Implementation for Multicores. In Proceedings of the third International Workshop on Software Engineering for Parallel Systems (SEPS), co-located with SPLASH 2016, Amsterdam, Netherlands, 2016. ISBN: 978-145034641-2, DOI: https://doi.org/10.1145/3002125.3002128. Preprint
21. M. Danelutto, G. Mencagli and M. Torquati. Efficient Dynamic Memory Allocation in Data Stream Processing Programs. In Proceedings of the second IEEE International Workshop on Reengineering for Parallelism in Heterogeneous Parallel Platforms (REPARA), co-located with ScalCom 2016, Toulouse, France, 2016. ISBN: 978-150902770-5, DOI: https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0181. Preprint
20. T. De Matteis and G. Mencagli. Keep Calm and React with Foresight: Strategies for Low-Latency and Energy-Efficient Elastic Data Stream Processing. In Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), Barcelona, Spain, 2016. (19% acceptance rate). ISBN: 978-145034092-2, DOI: https://doi.org/10.1145/2851141.2851148. The paper passed the artifact evaluation phase
. Preprint
2015
19. M. Danelutto, T. De Matteis, G. Mencagli and M. Torquati. Parallelizing High-Frequency Trading Applications by using C++11 Attributes. In Proceedings of the first IEEE International Workshop on Reengineering for Parallelism in Heterogeneous Parallel Platforms (REPARA), co-located with ISPA 2015, Helsinki, Finland, 2015. ISBN: 978-146737951-9, DOI: https://doi.org/10.1109/Trustcom.2015.623. Preprint
18. T. De Matteis, S. Di Girolamo and G. Mencagli. A Multicore Parallelization of Continuous Skyline Queries on Data Streams. In proceedings of the 2015 International Conference on Parallel Processing (Euro-Par), Vienna, Austria, 2015. ISBN: 978-366248095-3, DOI: https://doi.org/10.1007/978-3-662-48096-0_31. Distinguished Paper
. Preprint
2014
17. D. Buono, T. De Matteis and G. Mencagli. A High-Throughput and Low-Latency Parallelization of Window-based Stream Joins on Multicores. In proceedings of the 12th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), Milan, Italy, 2014. ISBN: 978-147994293-0, DOI: https://doi.org/10.1109/ISPA.2014.24. Preprint
16. D. Buono and G. Mencagli. Run-time Mechanisms for Fine-Grained Parallelism on Network Processors: the TILEPro64 Experience. In proceedings of the 2014 International Conference on High Performance Computing and Simulation (HPCS), Bologna, Italy, 2014. ISBN: 978-147995312-7, DOI: https://doi.org/10.1109/HPCSim.2014.6903669. Preprint
15. D. Buono, M. Danelutto, T. De Matteis, G. Mencagli and M. Torquati. A Lightweight Run-Time Support for Fast Dense Linear Algebra on Multi-Core. In proceedings of the 12th IASTED International Conference on Parallel Distributed Computing and Networks (PDCN), Innsbruck, Austria, 2014. ISBN: 978-0-88986-965-3, DOI: https://doi.org/10.2316/P.2014.811-029. Preprint
14. D. Buono, T. De Matteis, G. Mencagli and M. Vanneschi. Optimizing Message-Passing on Multicore Architectures using Hardware Multi-Threading. In proceedings of the 22nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Turin, Italy, 2014. ISBN: 978-147992728-9, DOI: https://doi.org/10.1109/PDP.2014.63. Preprint
2013
13. G. Mencagli, M. Vanneschi and E. Vespa. Reconfiguration Stability of Adaptive Distributed Parallel Applications through a Cooperative Predictive Control Approach. In proceedings of the 2013 International Conference on Parallel Processing (Euro-Par), Aachen, Germany, 2013. ISBN: 978-364240046-9, DOI: https://doi.org/10.1007/978-3-642-40047-6_34. Preprint
12. G. Mencagli, M. Vanneschi and E. Vespa. Control-theoretic Adaptation Strategies for Autonomic Reconfigurable Parallel Applications on Cloud Environments. In proceedings of the 2013 International Conference on High Performance Computing and Simulation (HPCS), Helsinki, Finland, 2013. ISBN: 978-147990836-3, DOI: https://doi.org/10.1109/HPCSim.2013.6641387. Outstanding Best Paper Award
. Preprint
11. G. Mencagli and M. Vanneschi. Analysis of Control-theoretic Predictive Strategies for the Adaptation of Distributed Parallel Computations. In Proceedings of the first ACM workshop on Optimization techniques for resources management in clouds (ORMaCloud), co-located with HPDC 2013, New York City, USA, 2013. ISBN: 978-1-4503-1982-9, DOI: https://doi.org/10.1145/2465823.2465827. Preprint
10. T. De Matteis, F. Luporini, G. Mencagli and M. Vanneschi. Evaluation of Architectural Supports for Fine-Grained Synchronization Mechanisms. In proceedings of the 11th IASTED International Conference on Parallel Distributed Computing and Networks (PDCN), Innsbruck, Austria, 2013. ISBN: 978-088986943-1, DOI: https://doi.org/10.2316/P.2013.795-023. Preprint
2011
9. C. Bertolli, G. Mencagli and M. Vanneschi. Consistent Rollback Protocols for Autonomic ASSISTANT Applications. In proceedings of the CoreGRID/ERCIM Workshop on Grid, Clouds and P2P Computing (CGWS), co-located with Euro-Par 2011, Bordeaux, France, 2011. ISBN: 978-364229736-6, DOI: https://doi.org/10.1007/978-3-642-29737-3-17. PDF
8. G. Mencagli and M. Vanneschi. QoS-control of Structured Parallel Computations: a Predictive Control Approach. In proceedings of the 3rd IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Athens, Greece, 2011. ISBN: 978-076954622-3, DOI: https://doi.org/10.1109/CloudCom.2011.47. PDF
7. C. Bertolli, G. Mencagli and M. Vanneschi. Consistent Reconfiguration Protocols for Adaptive High-Performance Applications. In proceedings of the 7th International Wireless Communications and Mobile Computing Conference (IWCMC), Istanbul, Turkey, 2011. ISBN: 978-142449539-9, DOI: https://doi.org/10.1109/IWCMC.2011.5982862. PDF
2010
6. C. Bertolli, G. Mencagli and M. Vanneschi. A Cost Model for Autonomic Reconfigurations in High-Performance Pervasive Applications. In proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems (Casemans), co-located with UbiComp 2010, Copenhagen, Denmark, 2010. ISBN: 978-145030213-5, DOI: https://doi.org/10.1145/1858367.1858370. PDF
5. C. Bertolli, D. Buono, G. Mencagli, M. Mordacchini, F. M. Nardini, M. Torquati and M. Vanneschi. Resource Discovery Support for Time-critical Adaptive Applications. In proceedings of the 6th International Wireless Communications and Mobile Computing Conference (IWCMC), Caen, France, 2010. ISBN: 978-145030062-9, DOI: https://doi.org/10.1145/1815396.1815513. PDF
4. C. Bertolli, G. Mencagli and M. Vanneschi. Analyzing Memory Requirements for Pervasive Grid Applications. In proceedings of the 18th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Pisa, Italy, 2010. ISBN: 978-076953939-3, DOI: https://doi.org/10.1109/PDP.2010.71. PDF
3. C. Bertolli, D. Buono, G. Mencagli and M. Vanneschi. Expressing Adaptivity and Context Awareness in the ASSISTANT Programming Model. In proceedings of the third International Conference on Autonomic Computing and Communication Systems (Autonomics), Limassol, Cyprus, 2010. ISBN: 978-364211481-6, DOI: https://doi.org/10.1007/978-3-642-11482-3_3. Preprint
2009
2. C. Bertolli, G. Mencagli and M. Vanneschi. Adaptivity in Risk and Emergency Management Applications on Pervasive Grids. In proceedings of the 10th International Symposium on Pervasive Systems, Algorithms and Networks (ISPAN), Kaoshiung, Taiwan, 2009. ISBN: 978-076953908-9, DOI: https://doi.org/10.1109/I-SPAN.2009.92. PDF
1. C. Bertolli, D. Buono, S. Lametti, G. Mencagli, M. Meneghin, A. Pascucci and M. Vanneschi. A Programming Model for High-Performance Adaptive Applications on Pervasive Mobile Grids. In proceedings of the 21st IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS), Cambridge, USA, 2009. ISBN: 978-088986811-3. PDF
Chapters in Handbooks
2012
3. G. Mencagli and M. Vanneschi. Developing Real-time Emergency Management Applications: Methodology for a novel Programming Model Approach. Emergency Management, 2012, InTech. ISBN: 978-953-307-989-9, DOI: https://doi.org/10.5772/35243.
2. C. Bertolli, G. Mencagli and M. Vanneschi. High-Performance Pervasive Computing. Pervasive Computing, series of Computer Science, Technology and Applications, 2012, Nova Science Publisher. ISBN: 978-161122057-5.
2011
1. C. Bertolli, D. Buono, G. Mencagli and M. Vanneschi. An approach to Mobile Grid platforms for the development and support of Complex Ubiquitous Applications. Handbook of Research on Mobility and Computing: Evolving Technologies and Ubiquitous Impacts, 2011, IGI Global. ISBN: 978-160960042-6, DOI: https://doi.org/10.4018/978-1-60960-042-6.ch039.
Books
Adaptiveness in Structured Parallel Computations: a Control-theoretic Methodology
Author: Gabriele Mencagli
Publisher: Lambert Academic Publishing
Year: 2012
ISBN: 978-3-659-29552-2