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2020 – today
- 2024
[j61]Gabriele Mencagli, Massimo Torquati, Dalvan Griebler
, Alessandra Fais, Marco Danelutto:
General-purpose data stream processing on heterogeneous architectures with WindFlow. J. Parallel Distributed Comput. 184: 104782 (2024)- [j60]Alberto Ottimo, Gabriele Mencagli, Marco Danelutto:
Boosting general-purpose stream processing with reconfigurable hardware. J. Supercomput. 80(9): 13048-13078 (2024) - [j59]Adriano Vogel, Marco Danelutto, Massimo Torquati, Dalvan Griebler, Luiz Gustavo Fernandes:
Enhancing self-adaptation for efficient decision-making at run-time in streaming applications on multicores. J. Supercomput. 80(15): 22213-22244 (2024) - [c145]Marco Danelutto, Patrizio Dazzi, Massimo Torquati:
Structuring the Continuum. AINA (5) 2024: 212-223 - [c144]Patrizio Dazzi, Luca Ferrucci, Marco Danelutto, Konstantinos Tserpes, Antonios Makris, Theodoros Theodoropoulos, Jacopo Massa, Emanuele Carlini, Matteo Mordacchini:
Urgent Edge Computing. FRAME@HPDC 2024 - [c143]Rourab Paul, Marco Danelutto:
Power Aware Scheduling of Tasks on FPGAs in Data Centers. PDP 2024: 148-152 - [i9]Patrizio Dazzi, Luca Ferrucci, Marco Danelutto, Konstantinos Tserpes, Antonios Makris, Theodoros Theodoropoulos, Jacopo Massa, Emanuele Carlini, Matteo Mordacchini:
Urgent Edge Computing. CoRR abs/2404.13411 (2024) - [i8]Marco Aldinucci, Marco Danelutto:
Stream parallel skeleton optimization. CoRR abs/2408.12394 (2024) - [i7]Rourab Paul, Alberto Ottimo, Marco Danelutto:
FastFlow in FPGA Stacks of Data Centers. CoRR abs/2409.20099 (2024) - 2023
- [j58]Adriano Vogel, Gabriele Mencagli, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes:
Online and transparent self-adaptation of stream parallel patterns. Computing 105(5): 1039-1057 (2023) - [j57]Nicolò Tonci, Massimo Torquati, Gabriele Mencagli, Marco Danelutto:
Distributed-Memory FastFlow Building Blocks. Int. J. Parallel Program. 51(1): 1-21 (2023) - [j56]Gabriell Alves de Araujo, Dalvan Griebler, Dinei A. Rockenbach, Marco Danelutto, Luiz Gustavo Fernandes:
NAS Parallel Benchmarks with CUDA and beyond. Softw. Pract. Exp. 53(1): 53-80 (2023) - [c142]Marco Aldinucci, Robert Birke, Antonio Brogi, Emanuele Carlini, Massimo Coppola, Marco Danelutto, Patrizio Dazzi, Luca Ferrucci, Stefano Forti, Hanna Kavalionak, Gabriele Mencagli, Matteo Mordacchini, Marcelo Pasin, Federica Paganelli, Massimo Torquati:
A Proposal for a Continuum-aware Programming Model: From Workflows to Services Autonomously Interacting in the Compute Continuum. COMPSAC 2023: 1852-1857 - [c141]Ricardo Leonarczyk, Dalvan Griebler, Gabriele Mencagli, Marco Danelutto:
Evaluation of Adaptive Micro-batching Techniques for GPU-Accelerated Stream Processing. Euro-Par Workshops (1) 2023: 81-92 - [c140]Adriano Vogel, Marco Danelutto, Dalvan Griebler, Luiz Gustavo Fernandes:
Revisiting self-adaptation for efficient decision-making at run-time in parallel executions. PDP 2023: 43-50 - [c139]Alberto Ottimo, Gabriele Mencagli, Marco Danelutto:
FSP: a Framework for Data Stream Processing Applications targeting FPGAs. PDP 2023: 92-99 - [c138]Marco Danelutto, Gabriele Mencagli, Alberto Ottimo, Francesco Iannone, Paolo Palazzari:
FastFlow targeting FPGAs. PDP 2023: 104-108 - [c137]Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras:
Message from the General Chairs: PDP 2023. PDP 2023: xii-xiii - [c136]Raffaele Montella, Angelo Ciaramella, Marco Lapegna, Marco Danelutto, Dora Blanco Heras:
Message from the Organizing Committee Chairs: PDP 2023. PDP 2023: xiv - [c135]Marco Aldinucci, Elena Maria Baralis, Valeria Cardellini, Iacopo Colonnelli, Marco Danelutto, Sergio Decherchi, Giuseppe Di Modica, Luca Ferrucci, Marco Gribaudo, Francesco Iannone, Marco Lapegna, Doriana Medic, Giuseppa Muscianisi, Francesca Righetti, Eva Sciacca, Nicola Tonellotto, Mauro Tortonesi, Paolo Trunfio, Tullio Vardanega:
A Systematic Mapping Study of Italian Research on Workflows. SC Workshops 2023: 2065-2076 - [c134]Luca Ferrucci, Marco Danelutto, Patrizio Dazzi:
StarFlow: fine-grained execution of workflows in Hybrid Cloud HPC for data stream applications. UCC 2023: 64 - [i6]Rourab Paul, Marco Danelutto:
Power Aware Scheduling of Tasks on FPGAs in Data Centers. CoRR abs/2311.11015 (2023) - 2022
- [j55]Adriano Vogel, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes:
Self-adaptation on parallel stream processing: A systematic review. Concurr. Comput. Pract. Exp. 34(6) (2022) - [j54]Giovanni Agosta, Marco Aldinucci, Carlos Álvarez, Roberto Ammendola, Yasir Arfat, Olivier Beaumont, Massimo Bernaschi, Andrea Biagioni, Tommaso Boccali, Bérenger Bramas, Carlo Brandolese, Barbara Cantalupo, Mauro Carrozzo, Daniele Cattaneo, Alessandro Celestini, Massimo Celino, Iacopo Colonnelli, Paolo Cretaro, Pasqua D'Ambra, Marco Danelutto, Roberto Esposito, Lionel Eyraud-Dubois, Antonio Filgueras, William Fornaciari, Ottorino Frezza, Andrea Galimberti, Francesco Giacomini, Brice Goglin, Daniele Gregori, Abdou Guermouche, Francesco Iannone, Michal Kulczewski, Francesca Lo Cicero, Alessandro Lonardo, Alberto Riccardo Martinelli, Michele Martinelli, Xavier Martorell, Giuseppe Massari, Simone Montangero, Gianluca Mittone, Raymond Namyst, Ariel Oleksiak, Paolo Palazzari, Pier Stanislao Paolucci, Federico Reghenzani, Cristian Rossi, Sergio Saponara, Francesco Simula, Federico Terraneo, Samuel Thibault, Massimo Torquati, Matteo Turisini, Piero Vicini, Miquel Vidal, Davide Zoni, Giuseppe Zummo:
Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach. Microprocess. Microsystems 95: 104679 (2022) - [c133]Gabriele Mencagli, Dalvan Griebler, Marco Danelutto:
Towards Parallel Data Stream Processing on System-on-Chip CPU+GPU Devices. PDP 2022: 34-38 - 2021
- [j53]Charles Michael Stein, Dinei A. Rockenbach, Dalvan Griebler, Massimo Torquati, Gabriele Mencagli, Marco Danelutto, Luiz Gustavo Fernandes:
Latency-aware adaptive micro-batching techniques for streamed data compression on graphics processing units. Concurr. Comput. Pract. Exp. 33(11) (2021) - [j52]Júnior Löff, Dalvan Griebler, Gabriele Mencagli, Gabriell Alves de Araujo, Massimo Torquati, Marco Danelutto, Luiz Gustavo Fernandes:
The NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures. Future Gener. Comput. Syst. 125: 743-757 (2021) - [j51]Marco Danelutto, Gabriele Mencagli, Massimo Torquati, Horacio González-Vélez, Peter Kilpatrick:
Algorithmic Skeletons and Parallel Design Patterns in Mainstream Parallel Programming. Int. J. Parallel Program. 49(2): 177-198 (2021) - [j50]Gabriele Mencagli, Massimo Torquati, Andrea Cardaci, Alessandra Fais, Luca Rinaldi, Marco Danelutto:
WindFlow: High-Speed Continuous Stream Processing With Parallel Building Blocks. IEEE Trans. Parallel Distributed Syst. 32(11): 2748-2763 (2021) - [c132]Marco Aldinucci, Giovanni Agosta, Antonio Andreini, Claudio Agostino Ardagna, Andrea Bartolini, Alessandro Cilardo, Biagio Cosenza, Marco Danelutto, Roberto Esposito, William Fornaciari, Roberto Giorgi, Davide Lengani, Raffaele Montella, Mauro Olivieri, Sergio Saponara, Daniele Simoni, Massimo Torquati:
The Italian research on HPC key technologies across EuroHPC. CF 2021: 178-184 - [c131]Giovanni Agosta, Daniele Cattaneo, William Fornaciari, Andrea Galimberti, Giuseppe Massari, Federico Reghenzani, Federico Terraneo, Davide Zoni, Carlo Brandolese, Massimo Celino, Francesco Iannone, Paolo Palazzari, Giuseppe Zummo, Massimo Bernaschi, Pasqua D'Ambra, Sergio Saponara, Marco Danelutto, Massimo Torquati, Marco Aldinucci, Yasir Arfat, Barbara Cantalupo, Iacopo Colonnelli, Roberto Esposito, Alberto Riccardo Martinelli, Gianluca Mittone, Olivier Beaumont, Bérenger Bramas, Lionel Eyraud-Dubois, Brice Goglin, Abdou Guermouche, Raymond Namyst, Samuel Thibault, Antonio Filgueras, Miquel Vidal, Carlos Álvarez, Xavier Martorell, Ariel Oleksiak, Michal Kulczewski, Alessandro Lonardo, Piero Vicini, Francesca Lo Cicero, Francesco Simula, Andrea Biagioni, Paolo Cretaro, Ottorino Frezza, Pier Stanislao Paolucci, Matteo Turisini, Francesco Giacomini, Tommaso Boccali, Simone Montangero, Roberto Ammendola:
TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale. DSD 2021: 286-294 - [c130]Gabriella Andrade, Dalvan Griebler, Rodrigo Pereira dos Santos, Marco Danelutto, Luiz Gustavo Fernandes:
Assessing Coding Metrics for Parallel Programming of Stream Processing Programs on Multi-cores. SEAA 2021: 291-295 - [c129]Adriano Vogel, Gabriele Mencagli, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes:
Towards On-the-fly Self-Adaptation of Stream Parallel Patterns. PDP 2021: 89-93 - [d5]Júnior Löff, Dalvan Griebler, Gabriele Mencagli, Gabriell Alves de Araujo, Massimo Torquati, Marco Danelutto, Luiz Gustavo Fernandes:
NPB-CPP: NAS Parallel Benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures. Zenodo, 2021
- 2020
- [j49]Luca Rinaldi, Massimo Torquati, Daniele De Sensi, Gabriele Mencagli, Marco Danelutto:
Improving the Performance of Actors on Multi-cores with Parallel Patterns. Int. J. Parallel Program. 48(4): 692-712 (2020) - [j48]Dalvan Griebler, Adriano Vogel, Daniele De Sensi, Marco Danelutto, Luiz Gustavo Fernandes:
Simplifying and implementing service level objectives for stream parallelism. J. Supercomput. 76(6): 4603-4628 (2020) - [j47]José Daniel García, David del Rio Astorga, Marco Aldinucci, Fabio Tordini, Marco Danelutto, Gabriele Mencagli, Massimo Torquati:
Challenging the abstraction penalty in parallel patterns libraries. J. Supercomput. 76(7): 5139-5159 (2020) - [c128]Luca Rinaldi, Massimo Torquati, Gabriele Mencagli, Marco Danelutto:
High-throughput stream processing with actors. AGERE!@SPLASH 2020: 1-10 - [c127]Gabriell Alves de Araujo, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes:
Efficient NAS Parallel Benchmark Kernels with CUDA. PDP 2020: 9-16 - [c126]Renato B. Hoffmann, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes:
Stream Parallelism Annotations for Multi-Core Frameworks. SBLP 2020: 48-55
2010 – 2019
- 2019
- [j46]Tiziano De Matteis, Gabriele Mencagli, Daniele De Sensi, Massimo Torquati, Marco Danelutto:
GASSER: An Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs. IEEE Access 7: 48753-48769 (2019) - [j45]Gabriele Mencagli, Massimo Torquati, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes:
Raising the Parallel Abstraction Level for Streaming Analytics Applications. IEEE Access 7: 131944-131961 (2019) - [j44]Massimo Torquati, Daniele De Sensi, Gabriele Mencagli, Marco Aldinucci, Marco Danelutto:
Power-aware pipelining with automatic concurrency control. Concurr. Comput. Pract. Exp. 31(5) (2019) - [j43]Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Gabriele Mencagli, Massimo Torquati, Marco Aldinucci, Peter Kilpatrick:
The RePhrase Extended Pattern Set for Data Intensive Parallel Computing. Int. J. Parallel Program. 47(1): 74-93 (2019) - [j42]Dalvan Griebler, Renato B. Hoffmann, Marco Danelutto, Luiz Gustavo Fernandes:
High-Level and Productive Stream Parallelism for Dedup, Ferret, and Bzip2. Int. J. Parallel Program. 47(2): 253-271 (2019) - [j41]Leonardo Gazzarri, Marco Danelutto:
Supporting structured parallel program design, development and tuning in FastFlow. J. Supercomput. 75(8): 4026-4041 (2019) - [j40]Dalvan Griebler, Renato B. Hoffmann, Marco Danelutto, Luiz Gustavo Fernandes:
Stream parallelism with ordered data constraints on multi-core systems. J. Supercomput. 75(8): 4042-4061 (2019) - [j39]Massimo Torquati, Gabriele Mencagli, Maurizio Drocco, Marco Aldinucci, Tiziano De Matteis, Marco Danelutto:
On dynamic memory allocation in sliding-window parallel patterns for streaming analytics. J. Supercomput. 75(8): 4114-4131 (2019) - [c125]Adriano Vogel, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes:
Minimizing Self-adaptation Overhead in Parallel Stream Processing for Multi-cores. Euro-Par Workshops 2019: 30-41 - [c124]Daniele De Sensi, Marco Danelutto:
Transparent Autonomicity for OpenMP Applications. Euro-Par Workshops 2019: 54-64 - [c123]Marco Danelutto, Daniele De Sensi, Gabriele Mencagli, Massimo Torquati:
Autonomic management experiences in structured parallel programming. HPCS 2019: 336-343 - [c122]Dinei A. Rockenbach, Charles Michael Stein, Dalvan Griebler, Gabriele Mencagli, Massimo Torquati, Marco Danelutto, Luiz Gustavo Fernandes:
Stream Processing on Multi-cores with GPUs: Parallel Programming Models' Challenges. IPDPS Workshops 2019: 834-841 - [c121]Luca Rinaldi, Massimo Torquati, Marco Danelutto:
Enforcing Reference Capability in FastFlow with Rust. PARCO 2019: 396-405 - [c120]Alessandro Di Giorgio, Marco Danelutto:
Backus FP Revisited: A Parallel Perspective on Modern Multicores. PARCO 2019: 465-474 - [c119]Adriano Vogel, Dalvan Griebler, Luiz Gustavo Fernandes, Marco Danelutto:
Seamless Parallelism Management for Video Stream Processing on Multi-Cores. PARCO 2019: 533-542 - [c118]Dinei A. Rockenbach, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes:
High-Level Stream Parallelism Abstractions with SPar Targeting GPUs. PARCO 2019: 543-552 - [c117]Luca Rinaldi, Massimo Torquati, Gabriele Mencagli, Marco Danelutto, Tullio Menga:
Accelerating Actor-Based Applications with Parallel Patterns. PDP 2019: 140-147 - [c116]Charles Michael Stein, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes:
Stream Parallelism on the LZSS Data Compression Application for Multi-Cores with GPUs. PDP 2019: 247-251 - [c115]Daniele De Sensi, Marco Danelutto:
Application-Aware Power Capping Using Nornir. PPAM (2) 2019: 191-202 - 2018
- [j38]Gabriele Mencagli, Massimo Torquati, Marco Danelutto:
Elastic-PPQ: A two-level autonomic system for spatial preference query processing over dynamic data streams. Future Gener. Comput. Syst. 79: 862-877 (2018) - [j37]Daniele De Sensi, Tiziano De Matteis, Marco Danelutto:
Simplifying self-adaptive and power-aware computing with Nornir. Future Gener. Comput. Syst. 87: 136-151 (2018) - [j36]David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sánchez, José Daniel García, Marco Danelutto, Massimo Torquati:
Finding parallel patterns through static analysis in C++ applications. Int. J. High Perform. Comput. Appl. 32(6) (2018) - [j35]Marco Danelutto, Peter Kilpatrick, Gabriele Mencagli, Massimo Torquati:
State access patterns in stream parallel computations. Int. J. High Perform. Comput. Appl. 32(6) (2018) - [j34]Antonio Brogi, Marco Danelutto, Daniele De Sensi, Ahmad Ibrahim, Jacopo Soldani, Massimo Torquati:
Analysing Multiple QoS Attributes in Parallel Design Patterns-Based Applications. Int. J. Parallel Program. 46(1): 81-100 (2018) - [j33]Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli, Massimo Torquati:
Data stream processing via code annotations. J. Supercomput. 74(11): 5659-5673 (2018) - [j32]Marco Aldinucci, Marco Danelutto, Maurizio Drocco, Peter Kilpatrick, Claudia Misale, Guilherme Peretti Pezzi, Massimo Torquati:
A parallel pattern for iterative stencil + reduce. J. Supercomput. 74(11): 5690-5705 (2018) - [c114]Adriano Vogel, Dalvan Griebler, Daniele De Sensi, Marco Danelutto, Luiz Gustavo Fernandes:
Autonomic and Latency-Aware Degree of Parallelism Management in SPar. Euro-Par Workshops 2018: 28-39 - [c113]Dalvan Griebler, Daniele De Sensi, Adriano Vogel, Marco Danelutto, Luiz Gustavo Fernandes:
Service Level Objectives via C++11 Attributes. Euro-Par Workshops 2018: 745-756 - [c112]Marco Danelutto, Massimo Torquati:
Increasing Efficiency in Parallel Programming Teaching. PDP 2018: 306-310 - [c111]Dalvan Griebler, Junior Loff, Gabriele Mencagli, Marco Danelutto, Luiz Gustavo Fernandes:
Efficient NAS Benchmark Kernels with C++ Parallel Programming. PDP 2018: 733-740 - [e9]Sanzio Bassini, Marco Danelutto, Patrizio Dazzi, Gerhard R. Joubert, Frans J. Peters:
Parallel Computing is Everywhere, Proceedings of the International Conference on Parallel Computing, ParCo 2017, 12-15 September 2017, Bologna, Italy. Advances in Parallel Computing 32, IOS Press 2018, ISBN 978-1-61499-842-6 [contents] - [d4]Marco Danelutto, Massimo Torquati:
Increasing efficiency in parallel programming teaching. Zenodo, 2018 - [d3]Marco Danelutto, Massimo Torquati, Peter Kilpatrick:
A DSL based toolchain for design space exploration in structured parallel programming. Zenodo, 2018 - [d2]Leonardo Gazzarri, Marco Danelutto:
A tool to support FastFlow program design. Zenodo, 2018 - [d1]Dalvan Griebler, Junior Loff, Gabriele Mencagli, Marco Danelutto, Luiz Gustavo Fernandes:
Efficient NAS Benchmark Kernels with C++ Parallel Programming Frameworks for Multi-Cores. Zenodo, 2018 - 2017
- [j31]Manuel F. Dolz, David del Rio Astorga, Javier Fernández, Massimo Torquati, José Daniel García, Félix García Carballeira, Marco Danelutto:
Enabling semantics to improve detection of data races and misuses of lock-free data structures. Concurr. Comput. Pract. Exp. 29(15) (2017) - [j30]Marco Danelutto, Susanna Pelagatti, Massimo Torquati:
Guest Editorial: High-Level Parallel Programming and Applications. Int. J. Parallel Program. 45(2): 199-202 (2017) - [j29]Marco Danelutto, Daniele De Sensi, Massimo Torquati:
A Power-Aware, Self-Adaptive Macro Data Flow Framework. Parallel Process. Lett. 27(1): 1740004:1-1740004:20 (2017) - [j28]Dalvan Griebler, Marco Danelutto, Massimo Torquati, Luiz Gustavo Fernandes:
SPar: A DSL for High-Level and Productive Stream Parallelism. Parallel Process. Lett. 27(1): 1740005:1-1740005:20 (2017) - [j27]Daniele De Sensi, Massimo Torquati, Marco Danelutto:
Mammut: High-level management of system knobs and sensors. SoftwareX 6: 150-154 (2017) - [j26]Daniele De Sensi, Tiziano De Matteis, Massimo Torquati, Gabriele Mencagli, Marco Danelutto:
Bringing Parallel Patterns Out of the Corner: The P3 ARSEC Benchmark Suite. ACM Trans. Archit. Code Optim. 14(4): 33:1-33:26 (2017) - [j25]Gabriele Mencagli, Massimo Torquati, Marco Danelutto, Tiziano De Matteis:
Parallel Continuous Preference Queries over Out-of-Order and Bursty Data Streams. IEEE Trans. Parallel Distributed Syst. 28(9): 2608-2624 (2017) - [c110]Daniele De Sensi, Tiziano De Matteis, Marco Danelutto:
Nornir: A Customizable Framework for Autonomic and Power-Aware Applications. Euro-Par Workshops 2017: 42-54 - [c109]Leonardo Gazzarri, Marco Danelutto:
A Tool to Support FastFlow Program Design. PARCO 2017: 687-697 - [c108]Dalvan Griebler, Renato B. Hoffmann, Marco Danelutto, Luiz Gustavo Fernandes:
Higher-Level Parallelism Abstractions for Video Applications with SPar. PARCO 2017: 698-707 - [c107]Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Massimo Torquati:
Evaluating Concurrency Throttling and Thread Packing on SMT Multicores. PDP 2017: 219-223 - [c106]Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Gabriele Mencagli, Massimo Torquati:
P3ARSEC: towards parallel patterns benchmarking. SAC 2017: 1582-1589 - 2016
- [j24]Marco Aldinucci, Sonia Campa, Marco Danelutto, Peter Kilpatrick, Massimo Torquati:
Pool Evolution: A Parallel Pattern for Evolutionary and Symbolic Computing. Int. J. Parallel Program. 44(3): 531-551 (2016) - [j23]Daniele De Sensi, Massimo Torquati, Marco Danelutto:
A Reconfiguration Algorithm for Power-Aware Parallel Applications. ACM Trans. Archit. Code Optim. 13(4): 43:1-43:25 (2016) - [c105]Marco Danelutto, Massimo Torquati, Peter Kilpatrick:
A DSL Based Toolchain for Design Space Exploration in Structured Parallel Programming. ICCS 2016: 1519-1530 - [c104]Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli, Massimo Torquati:
A divide-and-conquer parallel pattern implementation for multicores. SEPS@SPLASH 2016: 10-19 - [c103]Vladimir Janjic, Christopher Brown, Kenneth MacKenzie, Kevin Hammond, Marco Danelutto, Marco Aldinucci, José Daniel García:
RPL: A Domain-Specific Language for Designing and Implementing Parallel C++ Applications. PDP 2016: 288-295 - [c102]Marco Danelutto, José Daniel García, Luis Miguel Sánchez, Rafael Sotomayor, Massimo Torquati:
Introducing Parallelism by Using REPARA C++11 Attributes. PDP 2016: 354-358 - [c101]Manuel F. Dolz, David del Rio Astorga, Javier Fernández, José Daniel García, Félix García Carballeira, Marco Danelutto, Massimo Torquati:
Embedding Semantics of the Single-Producer/Single-Consumer Lock-Free Queue into a Race Detection Tool. PMAM@PPoPP 2016: 20-29 - [c100]Marco Danelutto, Gabriele Mencagli, Massimo Torquati:
Efficient Dynamic Memory Allocation in Data Stream Processing Programs. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld 2016: 1181-1188 - [i5]Marco Aldinucci, Marco Danelutto, Maurizio Drocco, Peter Kilpatrick, Claudia Misale, Guilherme Peretti Pezzi, Massimo Torquati:
A parallel pattern for iterative stencil + reduce. CoRR abs/1609.04567 (2016) - [i4]Marco Danelutto, Massimo Torquati, Peter Kilpatrick:
State access patterns in embarrassingly parallel computations. CoRR abs/1609.05002 (2016) - 2015
- [c99]Marco Danelutto, Claudio Gallicchio, Alessio Micheli, Massimo Torquati, Daniele Virgilio:
Structured parallel implementation of Tree Echo State Network model selection. PARCO 2015: 145-154 - [c98]Ugo Albanese, Marco Danelutto:
Data parallel patterns in Erlang/OpenCL. PARCO 2015: 165-174 - [c97]Dalvan Griebler, Marco Danelutto, Massimo Torquati, Luiz Gustavo Fernandes:
An Embedded C++ Domain-Specific Language for Stream Parallelism. PARCO 2015: 317-326 - [c96]Marco Danelutto, Daniele De Sensi, Massimo Torquati:
Energy Driven Adaptivity in Stream Parallel Computations. PDP 2015: 103-110 - [c95]Marco Danelutto, Massimo Torquati, Peter Kilpatrick:
A Green Perspective on Structured Parallel Programming. PDP 2015: 430-437 - [c94]Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli, Massimo Torquati:
Parallelizing High-Frequency Trading Applications by Using C++11 Attributes. TrustCom/BigDataSE/ISPA (3) 2015: 140-147 - [c93]Marco Aldinucci, Marco Danelutto, Maurizio Drocco, Peter Kilpatrick, Guilherme Peretti Pezzi, Massimo Torquati:
The Loop-of-Stencil-Reduce Paradigm. TrustCom/BigDataSE/ISPA (3) 2015: 172-177 - 2014
- [j22]