Papers and Editorials

The list of all publications organized by year (up to 2019) may be found here


Journal papers

  1. 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
  2. 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), 2020. DOI: 10.1007/s10766-020-00684-w (Open AccessDownload
  3. 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)
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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)
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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.
  23. 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.
  24. 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 AccessDownload
  25. 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.
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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

Edited Books and Journal Special Issues

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

smecy_book_978-1-4614-8799-9_scaled

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)

ijppsiimage

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

 

 

 

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

ijppsiimage

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)

View Articles published in Future Generation Computer SystemsNew 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)

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

 

 

D. D’Agostino, F. Leporati, A. Plaza, M. Torquati (Eds)

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


Others publications

P0374R0: “Stream parallelism patterns” J. Daniel Garcia, David del Rio, Manuel F. Dolz, Javier Garcia-Blas, Luis M. Sanchez, Marco Danelutto, Massimo Torquati. 05/2016.

P0028R0: “Using non-standard attributes” J. Daniel Garcia, Luis M. Sanchez, M. Torquati, M. Danelutto, P. Sommerlad. 09/2015.

CPC2016a: “Identifying Parallel Patterns in C++ Codes”, D. Del Río Astorga, M. F. Dolz, L. M. Sanchez, J. D. Garcia, M. Danelutto and M. Torquati. 19th Workshop on Compilers for Parallel Computing. July 6-8, 2016. Valladolid, Spain.

CPC2016b: “Improving Detection of Data Races and Misuses of Lock-Free Queues via Semantics”, M. F. Dolz, D. Del Río Astorga, J. Fernandez, J. D. Garcia, F. Garcia-Carballeria, M. Danelutto and M. Torquati. 19th Workshop on Compilers for Parallel Computing. July 6-8, 2016. Valladolid, Spain.


Recent Papers (Conferences/Workshops/Book Chapters)

  • L. Rinaldi, M. Torquati, G. Mencagli, M. Danelutto “High-Throughput Stream Processing with Actors”, AGERE’20, 10th ACM SIGPLAN International Workshop on Programming Based on Actors, Agents, and Decentralized Control Proceedings, 2020 (co-located with SPLASH 2020)
  • L. Rinaldi, M. Torquati, M. Danelutto “Enforcing reference capability in FastFlow with Rust” Advanced in Parallel Computing Vol. 36, pp. 396-415, (ParCo 2019 Conference, Prague, Czech Republic), 2020.