Papers and Editorials

The list of all publications organized by year (up to 2023) may be found here

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Journal papers

1. Nicolò Tonci, Sébastien Rivault, Mostafa Bamha, Sophie Robert, Sébastien Limet, Massimo Torquati. “LSH SimilarityJoin Pattern in FastFlow” International Journal of Parallel Programming (Springer), HLPP 2023 Special Issue, Volume Issue 2024, DOI: 10.1007/s10766-024-00772-1 (Open Access) Download
2. A. Vogel, M. Danelutto, M. Torquati, D. Griebler, L. G. Fernandez “Enhancing Self-adaptation for Efficient Decision-making at Run-time in Streaming Applications on Multicores”. The Journal of Supercomputing, May 2024 (To appear)
3. A. Antelmi, M. Torquati, G. Corridori, D. Gregori, F. Polzella, G. Spinatelli, M. Aldinucci. “Analyzing FOSS license usage in publicly available software at scale via the SWH-analytics framework”. The Journal of Supercomputing, March 2024, DOI: 10.1007/s11227-024-06069-x
4. G. Mencagli, M. Torquati, D. Griebler, A. Fais, M. Danelutto “General-purpose data stream processing on heterogeneous architectures with WindFlow”, Journal of Parallel and Distributed Computing (JPDC) Vol. 184, 2024. DOI: 10.1016/j.jpdc.2023.104782 (Open Access) Download
5. N. Tonci, M. Torquati, G. Mencagli, M. Danelutto “Distributed-Memory FastFlow Building Blocks” International Journal of Parallel Programming (Springer), HLPP 2022 Special Issue, Volume  51 Issue 1, 2023, DOI:10.1007/s10766-022-00750-5 (Open Access) Download
6. G. Agosta, M.Aldinucci, C.Alvarez, R.Ammendola, Y.Arfat, O.Beaumont, M.Bernaschi, A.Biagioni, T. Boccali, B. Bramas, C. Brandolese, B. Cantalupo, M. Carrozzo, D. Cattaneo, A. Celestini, M. Celino, I. Colonnelli, P. Cretaro, P. D’Ambra, M. Danelutto, R. Esposito, L. Eyraud-Dubois, A. Filgueras, W. Fornaciari, O. Frezza, A. Galimberti, F. Giacomini, B. Goglin, D. Gregori, A. Guermouche, F. Iannone, M. Kulczewski, F. Lo Cicero, A. Lonardo, A. R. Martinelli, M. Martinelli, X. Martorell, G. Massari, S. Montangero, G. Mittone, R. Namyst, A. Oleksiak, P. Palazzari, P. S. Paolucci, F. Reghenzani, C. Rossi, S. Saponara, F. Simula, F. Terraneo, S. Thibault, M. Torquati, M. Turisini, P. Vicini, M. Vidal, D. Zoni, G. Zummo “Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach”, Microprocessor and Microsystems, Elsevier, 2022, DOI: 10.1016/j.micpro.2022.104679
7. J. Löff, D. Griebler, G. Mencagli, G. Araujo, M. Torquati, M. Danelutto, L. G. Fernandes “The NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures”, Future Generation Computing Systems (FGCS), Volume 125, December 2021, Elsevier, Pages 743-757, ISSN:0167-739X, DOI:10.1016/j.future.2021.07.021
   The paper obtained the “Honorable Mention” from the Elsevier FGCS Editorial Board.
   
8. 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: 10.1109/TPDS.2017.2679197.
9. L. Rinaldi, M. Torquati, D. De Sensi, G. Mencagli, M. Danelutto. “Improving the performance of Actors on Multi-Cores with Parallel Patterns”, International Journal of Parallel Programming (IJPP), Vol. 48, pp 692-712, 2020, Springer, DOI: 10.1007/s10766-020-00663-1
10. 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 (IJPP), 2021. DOI: 10.1007/s10766-020-00684-w (Open Access) Download
11. 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. DOI:10.1002/cpe.5786 (In Press, “Online First” May 4th)
12. G. Mencagli, M. Torquati, D. Griebler, M. Danelutto, L.G. Fernandes. “Raising the Parallel Abstraction Level for Streaming Analytics Applications”. IEEE Access, Volume 7, pp. 131944-131961, 2019, IEEE. ISSN: 2169-3536, DOI:10.1109/ACCESS.2019.2941183 (Open Access) Download
13. 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, Volume 7, Issue 1, pp. 48753-48769, 2019, IEEE. ISSN: 2169-3536, DOI: 10.1109/ACCESS.2019.2910312 (Open Access) Download
14. J. D. Garcia, D. del Rio, M. Aldinucci,  F. Tordini,  M. Danelutto, G. Mencagli, M. Torquati “Challenging the abstraction penalty in parallel patterns libraries”, Journal of Supercomputing (JSUPE), Springer, 2019. doi: 10.1007/s11227-019-02826-5
15. M. Torquati, D. De Sensi, G. Mencagli, M. Aldinucci, M. Danelutto “Power-aware pipelining with automatic concurrency control” Concurrency and Computation: Practice and Experience (CC-PE), 31(5), 2019, Wiley, doi: 10.1002/cpe.4652
16. M. Danelutto, T. De Matteis, D. De Sensi, G. Mencagli, M. Torquati, M. Aldinucci, P. Kilpatrick “The RePhrase Extended Pattern Set for Data Intensive Parallel Computing” International Journal of Parallel Programming (IJPP), 47(1), pp. 74-93, 2017, Springer, doi: 10.1007/s10766-017-0540-z
17. M. Torquati, G. Mencagli, M. Drocco, M. Aldinucci, T. De Matteis, M. Danelutto “On Dynamic Memory Allocation in Sliding-Window Parallel Patterns for Streaming Analytics”. Journal of Supercomputing (JSUPE), Volume 75, Issue 8, 2019, Springer, doi: 10.1007/s11227-017-2152-1 (“Online First”: September 2017)
    
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 (FGCS), Volume 79 Part 3, 2018, Elsevier. doi:10.1016/j.future.2017.09.004. Download
19. G. Mencagli, M. Torquati, F. Lucattini, S. Cuomo, M. Aldinucci “Harnessing sliding-window execution semantics for parallel stream processing” Journal of Parallel and Distributed Computing (JPDC), Volume 116, pp 74-88, 2018, doi: 10.1016/j.jpdc.2017.10.021
20. 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 (TACO), Volume 14 Issue 4, Article No. 33, October 2017. doi: 10.1145/3132710
21. D. De Sensi, M. Torquati and M. Danelutto “Mammut: High-Level management of system knobs and sensors”, SoftwareX Journal, Elsevier, Vol. 6, 2017. doi: 10.1016/j.softx.2017.06.005 (Open Access) Download
22. M. Danelutto, D. De Sensi and M. Torquati “A Power-Aware, Self-Adaptive Macro Data Flow Framework”, Parallel Processing Letters, Vol. 27 No. 1, 2017, World Scientific Publisher. doi: 10.1142/S0129626417400047
23. D. Griebler, M. Danelutto, M. Torquati and L. G. Fernandes “SPar: A DSL for High-Level and Productive Stream Parallelism”, Parallel Processing Letters, Vol. 27 No. 1, 2017, World Scientific Publisher. doi:10.1142/S0129626417400059
24. 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 (TPDS), 28(9), 2608-2624, 2017, IEEE. ISSN: 1045-9219, DOI: 10.1109/TPDS.2017.2679197
25. D. del Rio Astorga, M. F. Dolz, L. M. Sanchez, J.D. Garcia, M. Danelutto and M. Torquati “Finding Parallel Patterns through Static Analysis in C++ Applications”, International Journal of High Performance Computing Applications (IJHPCA), Volume 32(6), pp 779-788, 2018. doi: 10.1177/1094342017695639
    
26. M. F. Dolz, D. del Rio Astorga, J. Fernandez, M. Torquati, J. D. Garcıa, F. Garcıa-Carballeira and M. Danelutto. “Enabling Semantics to Improve Detection of Data Races and Misuses of Lock-Free Data Structures”, Concurrency and Computation: Practice and Experience (CC-PE), Volume 29 Issue 15, 2017, doi: 10.1002/cpe.4114
27. M. Danelutto, P. Kilpatrick, G. Mencagli and M. Torquati. “State Access Patterns in Stream Parallel Computations”. International Journal of High Performance Computing Applications (IJHPCA) Volume 32, Issue 6, 2018, pp: 807-818 , doi: 10.1177/1094342017694134
28. A. Brogi, M. Danelutto, D. De Sensi, A. Ibrahim, J. Soldani, and M. Torquati. “Analysing multiple QoS attributes in Parallel Design Patterns-based Applications”, International Journal of Parallel Programming (IJPP), Volume 46(1), pp 81-100, 2018. doi: 10.1007/s10766-016-0476-8
29. D. De Sensi, M. Torquati and M. Danelutto “A reconfiguration Algorithm for Power-Aware Parallel Applications” ACM Transactions on Architecture and Code Optimization (TACO). Volume 13 Issue 4,n. 43, pp 1-25, doi:  10.1145/3004054
30. F. Tordini, M. Drocco, C. Misale, L. Milanesi, P. Lio`, I. Merelli, M. Torquati and Marco Aldinucci “NuChart-II: The road to a fast and scalable tool for Hi-C data analysis”,  Inter. Journal of High Performance Computing Applications (IJHPCA),  Volume 31, Issue 3, 2017, doi: 10.1007/s11227-016-1871-z.
31. M. Aldinucci, M. Danelutto, M. Drocco, P. Kilpatrick, C. Misale, G: Peretti Pezzi and M. Torquati “A Parallel Pattern for Iterative Stencil + Reduce”, Journal of Supercomputing, Volume 74, Issue 11, pp 5690–5705, November 2018 (First online in 2016). doi: 10.1007/s11227-016-1871-z.
32. A.Bracciali, M. Aldinucci, M.Patterson, T.Marschall, N.Pisanti, I.Merelli, M.Torquati “pWhatsHap: efficient haplotyping for future generation sequencing” BMC Bioinformatics. Vol 17 (Suppl 11):342, September, 2016. doi: 10.1186/s12859-016-1170-y (Open Access)  Download
33. M. Danelutto, T. De Matteis, G. Mencagli and M. Torquati “Data Stream Processing via Code Annotations”, Journal of Supercomputing, (First online in 2016), Volume 74(11), pp 5659-5673, 2018. doi:10.1007/s11227-016-1793-9.
34. M. Aldinucci, S. Campa, M. Danelutto, P. Kilpatrick and M. Torquati “Pool evolution: a parallel pattern for evolutionary and symbolic computing”, International Journal of Parallel Programming (IJPP), 2015. doi:10.1007/s10766-015-0358-5
35. M. Aldinucci, G. Peretti Pezzi, M. Drocco, C. Spampinato and M. Torquati “Parallel Visual Data Restoration on Multi-GPGPUs using Stencil-Reduce Pattern”, Inter. Journal of High Performance Computing Applications (JHPCA), Volume 29, Issue 4, 1 November 2015, pg 461-472. doi:10.1177/1094342014567907
36. C. Misale, G. Ferrero, M. Torquati, and M. Aldinucci, “Sequence Alignment Tools: One Parallel Pattern to Rule Them All?”, BioMed Research International, vol. 2014, Article ID 539410, 2014. doi:10.1155/2014/539410
37. M. Aldinucci, C. Calcagno, M. Coppo, F. Damiani, M. Drocco, E. Sciacca, S. Spinella, M. Torquati, and A. Troina, “On designing multicore-aware simulators for systems biology endowed with on-line statistics”, BioMed Research International, Volume 2014, Article ID 207041, June 2014. doi:10.1155/2014/207041
38. S. Campa, M. Danelutto, M. Goli, H.G. Vélez, A.M. Popescu and M. Torquati “Parallel patterns for heterogeneous CPU/GPU architectures: Structured parallelism from cluster to cloud” Future Generation Computer System (FGCS), Vol. 37, pag. 354-366, Elsevier, July 2014. doi:10.1016/j.future.2013.12.038
39. M. Aldinucci, S. Ruggieri, and M. Torquati, “Decision Tree Building on Multi-Core using FastFlow,”  Concurrency and Computation: Practice and Experience (CC-PE), Vol. 26, Issue 3, pag. 800-820, March 2014. doi:10.1002/cpe.3063
40. M. Aldinucci, S. Campa, M. Danelutto, P. Kilpatrick and M. Torquati “Design patterns percolating to parallel programming framework implementation” International Journal of Parallel Programming (IJPP), Volume: 42(6), pag. 1012-1031, 2013, doi: 10.1007/s10766-013-0273-6
41. M. Aldinucci, M. Torquati, C. Spampinato, M. Drocco, C. Misale, C. Calcagno, and M. Coppo “Parallel stochastic systems biology in the cloud”, Briefings in Bioinformatics, Volume 15(5), 2013. doi:10.1093/bib/bbt040
42. M. Aldinucci, M. Danelutto, P. Kilpatrick, and M. Torquati, “Targeting heterogeneous architectures via macro data flow” Parallel Processing Letters (PPL), Volume 22, Issue 2, 2012. doi:10.1142/S0129626412400063

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Edited Books and Journal Special Issues

M. Torquati, K. Bertels, S. Karlsson, F. Pacull (Eds)

Smart Multicore Embedded Systems

eBook ISBN 978-1-4614-8800-2
Hardcover ISBN 978-1-4614-8799-9
Springer US, November 2013

 

M. Danelutto, S. Pelagatti, M. Torquati (Eds)

High-Level Parallel Programming and Applications
Special Issue, Volume 45, Issue 2, April 2017, Springer

 

 

 

S. Cuomo, M. Aldinucci, M. Torquati (Eds)

Programming Models and Algorithms for data analysis in HPC systems   Special Issue Volume 46, Issue 3, June 2018, Springer

 

 

 

V. Cardellini, G. Mencagli, D. Talia, M. Torquati (Eds)

New Landscapes of the Data Stream Processing in the Era of Fog Computing FGCS Special Issue Volume 99, October 2019, Elsevier

 

 

M. Aldinucci, V. Cardellini, G. Mencagli, M. Torquati (Eds)

Data Stream Processing in HPC Systems: New Frameworks and Architectures for High-Frequency Streaming Special Issue, 2020, Elsevier

 

 

D. D’Agostino, F. Leporati, M. Torquati, Jingling Xue (Eds)

New Trends in Parallel and distributed Computing for Human Sensible Applications Special Session, 2020, Transactions on Emerging Topics in Computing (TETC), Volume 9, Issue 4, IEEE

 

 

A. Gonzalez-Escribano, J. Daniel Garcia,  M. Torquati (Eds)

Special Issue on Parallel, Distributed, and Network-Based Processing in Next-generation Architectures and Systems Special Session, 2021, Journal of Systems Architecture, Elsevier.

 

 

A. Gonzalez-Escribano, J. Daniel Garcia,  M. Torquati (Eds)

Special Issue on Parallel, Distributed, and Network-Based Processing  Special Session, 2022, Journal of Supercomputing, Springer.

 

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Others publications