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
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
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), 2017, IEEE. In Press
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), doi: To appear
M. F. Dolz, D. del Rio Astorga, J. Fernandez, M. Torquat, 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 (CCPE), doi: 10.1002/cpe.4114, To appear
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: 10.1177/1094342017694134
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 In Press
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
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.
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.
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
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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.
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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
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
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
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
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
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
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
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
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