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Publications

Citation and bibliographic indexes: Google scholar   Scopus   DBLP

(Almost) All publications by year

You may find the list of all my publications organized by year here.

Journal papers

  1. M. Denelutto, P. Kilpatrick, G. Mencagli and M. Torquati. “State Access Patterns in Stream Parallel Computations”. International Journal of High Performance Computing Applications (IJHPCA), doi: To appear
  2. 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). doi: 10.1007/s10766-016-0476-8 To appear.
  3. 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, pg 1-25, doi: 10.1145/3004054
  4. 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), doi: 10.1007/s11227-016-1871-z. In press.
  5. 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, doi: 10.1007/s11227-016-1871-z. In press.
  6. M. Aldinucci, A.Bracciali, 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
  7. M. Danelutto, T. De Matteis, G. Mencagli and M. Torquati “Data Stream Processing via Code Annotations”, Journal of Supercomputing, 2016. doi:10.1007/s11227-016-1793-9. In press. Download
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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, 2013. doi:10.1093/bib/bbt040
  16. M. Aldinucci, M. Danelutto, P. Kilpatrick, and M. Torquati, “Targeting heterogeneous architectures via macro data flow” Parallel Processing Letters (PPL), vol. 22, iss. 2, 2012. doi:10.1142/S0129626412400063

Edited Books and Journal Special Issues

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

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

High-Level Parallel Programming and Applications” IJPP special issues of HLPP 2015. M. Danelutto, S. Pelagatti and M. Torquati (Eds) (In press.)

Other 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.

Some recent publications (Conference/Workshop/Book Chapter)

M. Danelutto, T. De Matteis, D. De Sensi, G. Mencagli, M. Torquati, P. Kilpatrick, M. Aldinucci “The RePhrase Extended Pattern Set for Data Intensive Parallel Computing” HLPGPU 2017 Workshop (HiPEAC Workshop), January 23rd, 2017, Stockholm, Sveden

M. Danelutto, T. De Matteis, D. De Sensi, and M. Torquati, “Evaluating concurrency throttling and thread packing on SMT multicores” in Proceedings of the 25th euromicro international conference on parallel, distributed, and network-based processing, PDP 2017

M. Danelutto, T. De Matteis, D. De Sensi, G. Mencagli, and M. Torquati, “P3arsec: towards parallel patterns benchmarking” in Proceedings of the 32nd annual acm symposium on applied computing, SAC 2017

P. Viviani, M. Aldinucci, M. Torquati and R. D'Ippolito, “Multiple back-end support for the Armadillo linear algebra interface”, in Proceedings of the 32nd annual acm symposium on applied computing, SAC 2017

M. Danelutto, T. De Matteis, G. Mencagli and M. Torquati “A Divide-and-Conquer Parallel Pattern Implementation for Multicores”, Third International Workshop on Software Engineering for Parallel Systems (SEPS 2016), Amsterdam, The Netherlands, 2016 doi:10.1145/3002125.3002128

M. Danelutto, D. De Sensi and M. Torquati “A Power-Aware, Self-Adaptive Macro Data Flow Framework”, 9th International Symposium on High-Level Parallel Programming and Applications (HLPP 2016), Muenster, Germany, 2016

D. Griebler, M. Danelutto, M. Torquati, and L. G. Fernandes. “SPar: a DSL for High-Level and Productive Stream Parallelism”, 9th International Symposium on High-Level Parallel Programming and Applications (HLPP 2016), Muenster, Germany, 2016

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, co-located with ScalCom 2016, Toulouse, France, 2016

M. Danelutto, M. Torquati and P. Kilpatrick. “A DSL based toolchain for design space exploration in structured parallel programming”, ICCS 2016 Workshop – Tools for Program Development and Analysis in Computational Science, San Diego, California, USA, 6-8 June, 2016.

M.Danelutto, M. Torquati and P. Kilpatrick. “State access patterns in embarrassingly parallel computations”, HLPGPU 2016 (Co-Located with HiPEAC 2016), Prague, Czech Republic, January 2016 .

M. F. Dolz, D del R. Astorga, J. Fernández, J. D. García, F. G.-Carballeira, M. Danelutto and M. Torquati “Embedding Semantics of the Single-Producer/Single-Consumer Lock-Free Queue into a Race Detection Tool”, In Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM16), ACM, Barcelona, Spain, January, 2016