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2020 – today
- 2024
[j47]Bruno Casella
, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci:
Experimenting With Normalization Layers in Federated Learning on Non-IID Scenarios. IEEE Access 12: 47961-47971 (2024)- [j46]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato:
FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis. Comput. Vis. Image Underst. 238: 103882 (2024) - [j45]Emilio Sulis, Ilaria Angela Amantea, Marco Aldinucci, Guido Boella, Renata Marinello, Marco Grosso, Paolo Platter, Serena Ambrosini:
An ambient assisted living architecture for hospital at home coupled with a process-oriented perspective. J. Ambient Intell. Humaniz. Comput. 15(5): 2737-2755 (2024) - [j44]Giulio Malenza, Valentina Cesare, Marco Aldinucci, Ugo Becciani, Alberto Vecchiato:
Toward HPC application portability via C++ PSTL: the Gaia AVU-GSR code assessment. J. Supercomput. 80(10): 14369-14390 (2024) - [j43]Alessia Antelmi, Massimo Torquati, Giacomo Corridori, Daniele Gregori, Francesco Polzella, Gianmarco Spinatelli, Marco Aldinucci:
Analyzing FOSS license usage in publicly available software at scale via the SWH-analytics framework. J. Supercomput. 80(11): 15799-15833 (2024) - [j42]Raffaele Mineo, Federica Proietto Salanitri, Giovanni Bellitto, Isaak Kavasidis, Ovidio De Filippo, M. Millesimo, Gaetano Maria de Ferrari, Marco Aldinucci, Daniela Giordano, Simone Palazzo, Fabrizio D'Ascenzo, Concetto Spampinato:
A Convolutional-Transformer Model for FFR and iFR Assessment From Coronary Angiography. IEEE Trans. Medical Imaging 43(8): 2866-2877 (2024) - [c101]Antonio Filgueras, Giovanni Agosta, Marco Aldinucci, Carlos Álvarez, Pasqua D'Ambra, Massimo Bernaschi, Andrea Biagioni, Daniele Cattaneo, Alessandro Celestini, Massimo Celino, Carlotta Chiarini, Francesca Lo Cicero, Paolo Cretaro, William Fornaciari, Ottorino Frezza, Andrea Galimberti, Francesco Giacomini, Juan Miguel De Haro Ruiz, Francesco Iannone, Daniel Jaschke, Daniel Jiménez-González, Michal Kulczewski, Alberto Leva, Alessandro Lonardo, Michele Martinelli, Xavier Martorell, Simone Montangero, Lucas Morais, Ariel Oleksiak, Paolo Palazzari, Luca Pontisso, Federico Reghenzani, Cristian Rossi, Sergio Saponara, Carlo Saverio Lodi, Francesco Simula, Federico Terraneo, Piero Vicini, Miquel Vidal, Davide Zoni, Giuseppe Zummo:
The TEXTAROSSA Project: Cool all the Way Down to the Hardware. DSD 2024: 526-533 - [c100]Iacopo Colonnelli, Doriana Medic, Alberto Mulone, Viviana Bono, Luca Padovani, Marco Aldinucci:
Introducing SWIRL: An Intermediate Representation Language for Scientific Workflows. FM (1) 2024: 226-244 - [c99]Lorenzo Brescia, Iacopo Colonnelli, Marco Aldinucci:
Performance Analysis on DNA Alignment Workload with Intel SGX Multithreading. BigHPC@itaDATA 2024: 13-24 - [c98]Adriano M. Garcia, Giulio Malenza, Robert Birke, Marco Aldinucci:
Assessing Large Language Models Inference Performance on a 64-core RISC-V CPU with Silicon-Enabled Vectors. BigHPC@itaDATA 2024: 25-33 - [c97]Miruna Betianu, Abele Malan, Marco Aldinucci, Robert Birke, Lydia Y. Chen:
DALLMi: Domain Adaption for LLM-Based Multi-label Classifier. PAKDD (3) 2024: 277-289 - [c96]Marco Edoardo Santimaria, Samuele Fonio, Giulio Malenza, Iacopo Colonnelli, Marco Aldinucci:
Benchmarking Parallelization Models through Karmarkar's Interior-point method. PDP 2024: 1-8 - [c95]Bruno Casella, Iacopo Colonnelli, Gianluca Mittone, Robert Birke, Walter Riviera, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci:
A Performance Analysis for Confidential Federated Learning. SP (Workshops) 2024: 40-47 - [c94]Lorenzo Brescia, Marco Aldinucci:
Secure Generic Remote Workflow Execution with TEEs. WiDE@EuroSys 2024: 8-13 - [i29]Miruna Betianu, Abele Malan, Marco Aldinucci, Robert Birke, Lydia Y. Chen:
DALLMi: Domain Adaption for LLM-based Multi-label Classifier. CoRR abs/2405.01883 (2024) - [i28]Iacopo Colonnelli, Doriana Medic, Alberto Mulone, Viviana Bono, Luca Padovani, Marco Aldinucci:
Introducing SWIRL: An Intermediate Representation Language for Scientific Workflows. CoRR abs/2407.01838 (2024) - [i27]Alberto Mulone, Doriana Medic, Marco Aldinucci:
A Fault Tolerance Mechanism for Hybrid Scientific Workflows. CoRR abs/2407.05337 (2024) - [i26]Marco Aldinucci, Marco Danelutto:
Stream parallel skeleton optimization. CoRR abs/2408.12394 (2024) - 2023
- [j41]Bruno Casella, Walter Riviera, Marco Aldinucci, Gloria Menegaz:
MERGE: A model for multi-input biomedical federated learning. Patterns 4(11): 100856 (2023) - [c93]Gianluca Mittone, Nicolò Tonci, Robert Birke, Iacopo Colonnelli, Doriana Medic, Andrea Bartolini, Roberto Esposito, Emanuele Parisi, Francesco Beneventi, Mirko Polato, Massimo Torquati, Luca Benini, Marco Aldinucci:
Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning. CF 2023: 73-83 - [c92]Jesús Carretero, Javier García-Blas, Marco Aldinucci, Jean-Baptiste Besnard, Jean-Thomas Acquaviva, André Brinkmann, Marc-André Vef, Emmanuel Jeannot, Alberto Miranda, Ramon Nou, Morris Riedel, Massimo Torquati, Felix Wolf:
Adaptive multi-tier intelligent data manager for Exascale. CF 2023: 285-290 - [c91]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 - [c90]Alberto Mulone, Sherine Awad, Davide Chiarugi, Marco Aldinucci:
Porting the Variant Calling Pipeline for NGS data in cloud-HPC environment. COMPSAC 2023: 1858-1863 - [c89]Doriana Medic, Marco Aldinucci:
Towards formal model for location aware workflows. COMPSAC 2023: 1864-1869 - [c88]Gianluca Mittone, Robert Birke, Marco Aldinucci:
Efficiently Distributed Federated Learning. Euro-Par Workshops 2023: 321-326 - [c87]Gianluca Mittone, Walter Riviera, Iacopo Colonnelli, Robert Birke, Marco Aldinucci:
Model-Agnostic Federated Learning. Euro-Par 2023: 383-396 - [c86]Javier García Blas, Genaro Sanchez-Gallegos, Cosmin Petre, Alberto Riccardo Martinelli, Marco Aldinucci, Jesús Carretero:
Hercules: Scalable and Network Portable In-Memory Ad-Hoc File System for Data-Centric and High-Performance Applications. Euro-Par 2023: 679-693 - [c85]Alberto Riccardo Martinelli, Massimo Torquati, Marco Aldinucci, Iacopo Colonnelli, Barbara Cantalupo:
CAPIO: a Middleware for Transparent I/O Streaming in Data- Intensive Workflows. HiPC 2023: 153-163 - [c84]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Concetto Spampinato, Simone Palazzo, Bruno Casella, Marco Aldinucci:
Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning. ICCV (Workshops) 2023: 3368-3375 - [c83]Alessia Antelmi, Massimo Torquati, Daniele Gregori, Francesco Polzella, Gianmarco Spinatelli, Marco Aldinucci:
The SWH-Analytics Framework. itaDATA 2023 - [c82]Yasir Arfat, Gianluca Mittone, Iacopo Colonnelli, Fabrizio D'Ascenzo, Roberto Esposito, Marco Aldinucci:
Pooling critical datasets with Federated Learning. PDP 2023: 329-337 - [c81]William Fornaciari, Federico Reghenzani, Federico Terraneo, Davide Baroffio, Cecilia Metra, Martin Omaña, Josie E. Rodriguez Condia, Matteo Sonza Reorda, Robert Birke, Iacopo Colonnelli, Gianluca Mittone, Marco Aldinucci, Gabriele Mencagli, Francesco Iannone, Filippo Palombi, Giuseppe Zummo, Daniele Cesarini, Federico Tesser:
RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data Clusters. SAMOS 2023: 395-410 - [c80]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 - [c79]Roberto Esposito, Mirko Polato, Marco Aldinucci:
Boosting Methods for Federated Learning. SEBD 2023: 439-448 - [c78]Gianluca Mittone, Giulio Malenza, Marco Aldinucci, Robert Birke:
Distributed Edge Inference: an Experimental Study on Multiview Detection. UCC 2023: 30 - [c77]Gianluca Mittone, Filip Svoboda, Marco Aldinucci, Nicholas D. Lane, Pietro Lió:
A Federated Learning Benchmark for Drug-Target Interaction. WWW (Companion Volume) 2023: 1177-1181 - [i25]Gianluca Mittone, Nicolò Tonci, Robert Birke, Iacopo Colonnelli, Doriana Medic, Andrea Bartolini, Roberto Esposito, Emanuele Parisi, Francesco Beneventi, Mirko Polato, Massimo Torquati, Luca Benini, Marco Aldinucci:
Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning. CoRR abs/2302.07946 (2023) - [i24]Gianluca Mittone, Walter Riviera, Iacopo Colonnelli, Robert Birke, Marco Aldinucci:
Model-Agnostic Federated Learning. CoRR abs/2303.04906 (2023) - [i23]Bruno Casella, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci:
Experimenting with Normalization Layers in Federated Learning on non-IID scenarios. CoRR abs/2303.10630 (2023) - [i22]Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci:
Benchmarking FedAvg and FedCurv for Image Classification Tasks. CoRR abs/2303.17942 (2023) - [i21]Valentina Cesare, Ugo Becciani, Alberto Vecchiato, Mario Gilberto Lattanzi, Fabio Pitari, Marco Aldinucci, Beatrice Bucciarelli:
The MPI + CUDA Gaia AVU-GSR Parallel Solver Toward Next-generation Exascale Infrastructures. CoRR abs/2308.00778 (2023) - 2022
- [j40]Valentina Cesare, Ugo Becciani, Alberto Vecchiato, Mario Gilberto Lattanzi, Fabio Pitari, Mario Raciti, Giuseppe Tudisco, Marco Aldinucci, Beatrice Bucciarelli:
The Gaia AVU-GSR parallel solver: Preliminary studies of a LSQR-based application in perspective of exascale systems. Astron. Comput. 41: 100660 (2022) - [j39]Iacopo Colonnelli, Marco Aldinucci, Barbara Cantalupo, Luca Padovani, Sergio Rabellino, Concetto Spampinato, Roberto Morelli, Rosario Di Carlo, Nicolò Magini, Carlo Cavazzoni:
Distributed workflows with Jupyter. Future Gener. Comput. Syst. 128: 282-298 (2022) - [j38]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) - [c76]Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ismail Irmakci, Michael B. Wallace, Candice W. Bolan, Megan Engels, Sanne Hoogenboom, Marco Aldinucci, Ulas Bagci, Daniela Giordano, Concetto Spampinato:
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. EMBC 2022: 475-479 - [c75]Mirko Polato, Roberto Esposito, Marco Aldinucci:
Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent. IJCNN 2022: 1-10 - [c74]Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci:
Benchmarking FedAvg and FedCurv for Image Classification Tasks. itaDATA 2022: 99-110 - [p3]Marco Aldinucci, David Atienza, Federico Bolelli, Mónica Caballero, Iacopo Colonnelli, José Flich, Jon Ander Gómez, David González, Costantino Grana, Marco Grangetto, Simone Leo, Pedro López, Dana Oniga, Roberto Paredes, Luca Pireddu, Eduardo Quiñones, Tatiana Silva, Enzo Tartaglione, Marina Zapater:
The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures. Technologies and Applications for Big Data Value 2022: 183-202 - [i20]Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato:
Decentralized Distributed Learning with Privacy-Preserving Data Synthesis. CoRR abs/2206.10048 (2022) - [i19]Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ismail Irmakci, Michael B. Wallace, Candice W. Bolan, Megan Engels, Sanne Hoogenboom, Marco Aldinucci, Ulas Bagci, Daniela Giordano, Concetto Spampinato:
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. CoRR abs/2206.10531 (2022) - [i18]Marco Aldinucci, Livio Bioglio, Cristina Calcagno, Mario Coppo, Ferruccio Damiani, Maurizio Drocco, Elena Grassi, Pablo Ramón, Eva Sciacca, Salvatore Spinella, Angelo Troina:
Modelling Biological and Ecological Systems with the Calculus of Wrapped Compartments. CoRR abs/2212.07105 (2022) - [i17]Valentina Cesare, Ugo Becciani, Alberto Vecchiato, Mario Gilberto Lattanzi, Fabio Pitari, Mario Raciti, Giuseppe Tudisco, Marco Aldinucci, Beatrice Bucciarelli:
The Gaia AVU-GSR parallel solver: preliminary studies of a LSQR-based application in perspective of exascale systems. CoRR abs/2212.11675 (2022) - 2021
- [j37]Matteo Pennisi, Isaak Kavasidis, Concetto Spampinato, Vincenzo Schininà, Simone Palazzo, Federica Proietto Salanitri, Giovanni Bellitto, Francesco Rundo, Marco Aldinucci, Massimo Cristofaro, Paolo Campioni, Elisa Pianura, Federica Di Stefano, Ada Petrone, Fabrizio Albarello, Giuseppe Ippolito, Salvatore Cuzzocrea, Sabrina Conoci:
An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans. Artif. Intell. Medicine 118: 102114 (2021) - [j36]Daniele D'Agostino, Pietro Liò, Marco Aldinucci, Ivan Merelli:
Advantages of using graph databases to explore chromatin conformation capture experiments. BMC Bioinform. 22-S(2): 43 (2021) - [j35]Gianluca Bontempi, Ricardo Chavarriaga, Hans ed Canck, Emanuela Girardi, Holger H. Hoos, Iarla Kilbane-Dawe, Tonio Ball, Ann Nowé, Jose Sousa, Davide Bacciu, Marco Aldinucci, Manlio ed Domenico, Alessandro Saffiotti, Marco Maratea:
The CLAIRE COVID-19 initiative: approach, experiences and recommendations. Ethics Inf. Technol. 23(S1): 127-133 (2021) - [j34]Marco Aldinucci, Valentina Cesare, Iacopo Colonnelli, Alberto Riccardo Martinelli, Gianluca Mittone, Barbara Cantalupo, Carlo Cavazzoni, Maurizio Drocco:
Practical parallelization of scientific applications with OpenMP, OpenACC and MPI. J. Parallel Distributed Comput. 157: 13-29 (2021) - [j33]Daniele D'Agostino, Ivan Merelli, Marco Aldinucci, Daniele Cesini:
Hardware and Software Solutions for Energy-Efficient Computing in Scientific Programming. Sci. Program. 2021: 5514284:1-5514284:9 (2021) - [j32]Iacopo Colonnelli, Barbara Cantalupo, Ivan Merelli, Marco Aldinucci:
StreamFlow: Cross-Breeding Cloud With HPC. IEEE Trans. Emerg. Top. Comput. 9(4): 1723-1737 (2021) - [c73]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 - [c72]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 - [c71]Carmelo Pino, Giuseppe Vecchio, Marco Fronda, Marco Calandri, Marco Aldinucci, Concetto Spampinato:
TwinLiverNet: Predicting TACE Treatment Outcome from CT scans for Hepatocellular Carcinoma using Deep Capsule Networks. EMBC 2021: 3039-3043 - [c70]Iacopo Colonnelli, Barbara Cantalupo, Roberto Esposito, Matteo Pennisi, Concetto Spampinato, Marco Aldinucci:
HPC Application Cloudification: The StreamFlow Toolkit (Invited Paper). PARMA-DITAM@HiPEAC 2021: 5:1-5:13 - [c69]Carmelo Pino, Simone Palazzo, Francesca Trenta, Francesca Cordero, Ulas Bagci, Francesco Rundo, Sebastiano Battiato, Daniela Giordano, Marco Aldinucci, Concetto Spampinato:
Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans. ISBI 2021: 891-894 - [i16]Iacopo Colonnelli, Barbara Cantalupo, Concetto Spampinato, Matteo Pennisi, Marco Aldinucci:
Bringing AI pipelines onto cloud-HPC: setting a baseline for accuracy of COVID-19 AI diagnosis. CoRR abs/2108.01033 (2021) - 2020
- [j31]Vasco Amaral, Beatriz Norberto, Miguel Goulão, Marco Aldinucci, Siegfried Benkner, Andrea Bracciali, Paulo Carreira, Edgars Celms, Luís Correia, Clemens Grelck, Helen D. Karatza, Christoph W. Kessler, Peter Kilpatrick, Hugo F. M. C. Martiniano, Ilias Mavridis, Sabri Pllana, Ana Respício, José Simão, Luís Veiga, Ari Visa:
Programming languages for data-Intensive HPC applications: A systematic mapping study. Parallel Comput. 91 (2020) - [j30]Marco Aldinucci, Valeria Cardellini, Gabriele Mencagli, Massimo Torquati:
Data stream processing in HPC systems: New frameworks and architectures for high-frequency streaming. Parallel Comput. 98: 102694 (2020) - [j29]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) - [c68]Valentina Cesare, Iacopo Colonnelli, Marco Aldinucci:
Practical Parallelization of Scientific Applications. PDP 2020: 376-384 - [c67]Paul Metzger, Murray Cole, Christian Fensch, Marco Aldinucci, Enrico Bini:
Enforcing Deadlines for Skeleton-based Parallel Programming. RTAS 2020: 188-199 - [i15]Iacopo Colonnelli, Barbara Cantalupo, Ivan Merelli, Marco Aldinucci:
StreamFlow: cross-breeding cloud with HPC. CoRR abs/2002.01558 (2020)
2010 – 2019
- 2019
- [j28]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) - [j27]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) - [j26]Ivan Merelli, Federico Fornari, Fabio Tordini, Daniele D'Agostino, Marco Aldinucci, Daniele Cesini:
Exploiting Docker containers over Grid computing for a comprehensive study of chromatin conformation in different cell types. J. Parallel Distributed Comput. 134: 116-127 (2019) - [j25]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) - [c66]Daniele D'Agostino, Pietro Liò, Marco Aldinucci, Ivan Merelli:
NeoHiC: A Web Application for the Analysis of Hi-C Data. CIBB 2019: 98-107 - [c65]Maurizio Drocco, Paolo Viviani, Iacopo Colonnelli, Marco Aldinucci, Marco Grangetto:
Accelerating Spectral Graph Analysis Through Wavefronts of Linear Algebra Operations. PDP 2019: 9-16 - [c64]Paolo Viviani, Maurizio Drocco, Daniele Baccega, Iacopo Colonnelli, Marco Aldinucci:
Deep Learning at Scale. PDP 2019: 124-131 - [p2]Clemens Grelck, Ewa Niewiadomska-Szynkiewicz, Marco Aldinucci, Andrea Bracciali, Elisabeth Larsson:
Why High-Performance Modelling and Simulation for Big Data Applications Matters. High-Performance Modelling and Simulation for Big Data Applications 2019: 1-35 - [r1]Marco Aldinucci, Maurizio Drocco, Claudia Misale, Guy Tremblay:
Languages for Big Data analysis. Encyclopedia of Big Data Technologies 2019 - [d2]Vasco Amaral, Beatriz Norberto, Miguel Goulão, Marco Aldinucci, Siegfried Benkner, Andrea Bracciali, Paulo Carreira, Edgars Celms, Luís Correia, Clemens Grelck, Helen D. Karatza, Christoph W. Kessler, Peter Kilpatrick, Hugo F. M. C. Martiniano, Ilias Mavridis, Sabri Pllana, Ana Respício, José Simão, Luís Veiga:
Companion data of a Systematic Mapping Study of Programming Languages for Data-Intensive HPC Applications. Zenodo, 2019
- [d1]Vasco Amaral, Beatriz Norberto, Miguel Goulão, Marco Aldinucci, Siegfried Benkner, Andrea Bracciali, Paulo Carreira, Edgars Celms, Luís Correia, Clemens Grelck, Helen D. Karatza, Christoph W. Kessler, Peter Kilpatrick, Hugo F. M. C. Martiniano, Ilias Mavridis, Sabri Pllana, Ana Respício, José Simão, Luís Veiga:
Companion data of a Systematic Mapping Study of Programming Languages for Data-Intensive HPC Applications. Zenodo, 2019 - 2018
- [j24]Claudia Misale, Maurizio Drocco, Guy Tremblay, Alberto Riccardo Martinelli, Marco Aldinucci:
PiCo: High-performance data analytics pipelines in modern C++. Future Gener. Comput. Syst. 87: 392-403 (2018) - [j23]Salvatore Cuomo, Marco Aldinucci, Massimo Torquati:
Guest Editorial for Programming Models and Algorithms for Data Analysis in HPC Systems. Int. J. Parallel Program. 46(3): 505-507 (2018) - [j22]Gabriele Mencagli, Massimo Torquati, Fabio Lucattini, Salvatore Cuomo, Marco Aldinucci:
Harnessing sliding-window execution semantics for parallel stream processing. J. Parallel Distributed Comput. 116: 74-88 (2018) - [j21]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) - [c63]Marco Aldinucci, Sergio Rabellino, Marco Pironti, Filippo Spiga, Paolo Viviani, Maurizio Drocco, Marco Guerzoni, Guido Boella, Marco Mellia, Paolo Margara, Idilio Drago, Roberto Marturano, Guido Marchetto, Elio Piccolo, Stefano Bagnasco, Stefano Lusso, Sara Vallero, Giuseppe Attardi, Alex Barchiesi, Alberto Colla, Fulvio Galeazzi:
HPC4AI: an AI-on-demand federated platform endeavour. CF 2018: 279-286 - [c62]Paolo Viviani, Maurizio Drocco, Marco Aldinucci:
Scaling Dense Linear Algebra on Multicore and Beyond: A Survey. PDP 2018: 751-758 - [e2]Marco Aldinucci, Luca Padovani, Massimo Torquati:
Euro-Par 2018: Parallel Processing - 24th International Conference on Parallel and Distributed Computing, Turin, Italy, August 27-31, 2018, Proceedings. Lecture Notes in Computer Science 11014, Springer 2018, ISBN 978-3-319-96982-4 [contents] - [i14]Paolo Viviani, Maurizio Drocco, Marco Aldinucci:
Pushing the boundaries of parallel Deep Learning - A practical approach. CoRR abs/1806.09528 (2018) - 2017
- [j20]Fabio Tordini, Maurizio Drocco, Claudia Misale, Luciano Milanesi, Pietro Liò, Ivan Merelli, Massimo Torquati, Marco Aldinucci:
NuChart-II: The road to a fast and scalable tool for Hi-C data analysis. Int. J. High Perform. Comput. Appl. 31(3): 196-211 (2017) - [j19]Concetto Spampinato, Simone Palazzo, Daniela Giordano, Marco Aldinucci, Rosalia Leonardi:
Deep learning for automated skeletal bone age assessment in X-ray images. Medical Image Anal. 36: 41-51 (2017) - [j18]Claudia Misale, Maurizio Drocco, Marco Aldinucci, Guy Tremblay:
A Comparison of Big Data Frameworks on a Layered Dataflow Model. Parallel Process. Lett. 27(1): 1740003:1-1740003:20 (2017) - [c61]Claudia Misale, Maurizio Drocco, Guy Tremblay, Marco Aldinucci:
PiCo: A Novel Approach to Stream Data Analytics. Euro-Par Workshops 2017: 118-128 - [c60]Fabio Tordini, Marco Aldinucci, Paolo Viviani, Ivan Merelli, Pietro Liò:
Scientific Workflows on Clouds with Heterogeneous and Preemptible Instances. PARCO 2017: 605-614 - [c59]Paolo Viviani, Marco Aldinucci, Massimo Torquati, Roberto d'lppolito:
Multiple back-end support for the armadillo linear algebra interface. SAC 2017: 1566-1573 - [i13]Maurizio Drocco, Claudia Misale, Guy Tremblay, Marco Aldinucci:
A Formal Semantics for Data Analytics Pipelines. CoRR abs/1705.01629 (2017) - [i12]Marco Aldinucci, Stefano Bagnasco, Stefano Lusso, Paolo Pasteris, Sergio Rabellino, Sara Vallero:
OCCAM: a flexible, multi-purpose and extendable HPC cluster. CoRR abs/1709.03715 (2017) - 2016
- [j17]Andrea Bracciali, Marco Aldinucci, Murray Patterson, Tobias Marschall, Nadia Pisanti, Ivan Merelli, Massimo Torquati:
PWHATSHAP: efficient haplotyping for future generation sequencing. BMC Bioinform. 17(S-11): 342 (2016) - [j16]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) - [c58]