Publications

Journals

  1. Garcia-Carballeira, F., Calderon, A. & Carretero, J. Enhancing the power of two choices load balancing algorithm using round robin policy. Cluster Comput 24, 611–624 (2021). LINK
  2. Alberto Cascajo, David E. Singh and Jesús Carretero. LIMITLESS – LIght-weight MonItoring Tool for LargE Scale Systems. Microprocessors and Microsystems (MICPRO). Volume 93, 2022, 104586, ISSN 0141-9331. DOI. eArchive.
  3. Miguel Guzmán-Merino, Christian Durán, Maria-Cristina Marinescu, Concepción Delgado-Sanz, DianaGomez-Barroso, JesusCarretero, David E.Singh. Assessing population-sampling strategies for reducing the COVID-19 incidence. Computers in Biology and Medicine. 2021, vol. 139, p. 104938. DOI. Full Text.
  4. Evaluation of Vaccination Strategies for the metropolitan area of Madrid} & David E. Singh, Carmen Olmedo Lucerón, Aurora Limia Sánchez, Miguel Guzman-Merino, Christian Duran, Concepción Delgado-Sanz, Diana Gomez-Barroso, Jesus Carretero, Maria-Cristina Marinescu. OVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv & Under review. Preprint LINK.
  5. Di Luccio D., C. G. De Vita, G. Mellone, E. Zambianchi, and R. Montella. Modeling passive tracers in the marine environment with high performance heterogeneous and hierarchical computing. Journal of Coastal and Offshore Engineering (In press).
  6. N. Tonci, M. Torquati, G. Mencagli, M.N. Tonci, M. Torquati, G. Mencagli, M. Danelutto. Distributed-memory FastFlow Building Blocks. International Journal of Parallel Programming (IJPP) 51, 1–21 (2023). https://doi.org/10.1007/s10766-022-00750-5 .
  7. Di Luccio D., C. G. De Vita, G. Mellone, E. Zambianchi, and R. Montella. Modeling passive tracers in the marine environment with high performance heterogeneous and hierarchical computing. International Journal of Coastal and Offshore Engineering.
  8. Cascajo, et al.,”Monitoring InfiniBand Networks to React Efficiently to Congestion” in IEEE Micro, vol. 43, no. 02, pp. 120-130, 2023. DOI: 10.1109/MM.2023.3241840
  9. European Initiative Projects Towards Exascale Computing         Jesus Carretero, Tiago Dias, Ricardo Nobre, Mario Kovacs, Anotnio Peña, Didem Unat            European Initiative Projects Towards Exascale Computing                     Europar 21                   https://easychair.org/smart-program/Euro-Par2021/
  10. Profile data of the ADMIRE project use case applications           Jean Baptiste Bernard; Jesus Carretero; Raffaelle Montela; Adalberto Pérez; Laura Bellentani; Wojciech Stefaniak; Shahbaz Memon           Profile data of the ADMIRE project use case applications           Zenodo ADMIRE EUROHPC Project Community                   10.5281/zenodo.7111282          Zenodo.org
  11. IO-Sets: Simple and efficient approaches for I/O bandwidth management          Francieli Boito, Guillaume Pallez, Luan Teylo,  Nicolas Vidal       IO-Sets: Simple and efficient approaches for I/O bandwidth management   IPDPS 2022                             https://hal.archives-ouvertes.fr/hal-03648225
  12. Improving Congestion Control through Fine-Grain Monitoring of InfiniBand Networks      Alberto Cascajo; Gabriel Gomez-Lopez; Jesus Escudero-Sahuquillo; Pedro Javier Garcia; David E. Singh; Francisco Alfaro-Cortés; Francisco J. Quiles; Jesus Carretero  Improving Congestion Control through Fine-Grain Monitoring of InfiniBand Networks    HOTI 2022       29th IEEE Hot Interconnects symposium. August, 17 – 19th, 2022            10.1109/hoti55740.2022.00020 https://ieeexplore.ieee.org/abstract/document/9912488
  13. Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications Yi Ju, Adalberto Perez, Stefano Markidis, Philipp Schlatter, Erwin Laure  Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications       IEEE eScience 2022                 10.5281/zenodo.7152158            https://zenodo.org/record/7152158#.Y1Keh3ZBxPY
  14. Doing better for jobs that failed: node stealing from a batch scheduler’s perspective       Du, Yishu; Marchal, Loris; Pallez, Guillaume; Robert, Yves            Doing better for jobs that failed: node stealing from a batch scheduler’s perspective        2022     2                      https://hal.inria.fr/hal-03643403

Conferences

  1. Javier Garcia-Blas, Genaro Sanchez-Gallegos, Cosmin Petre, Alberto Riccardo Martinelli, Marco Aldinuchi and Jesus Carretero. Hercules: scalable and network portable in-memory ad-hoc file system for data-centric and high-performance applications. Euro-Par (2023). Accepted.
  2. Genaro Sanchez-Gallegos, Javier Garcia-Blas, Cosmin Petre, and Jesus Carretero. Malleable and adaptive ad-hoc file system for data intensive workloads in HPC applications. HPCMALL (2023).
  3. Carretero, J., Exposito, D., Cascajo, A., Montella, R. (2023). Malleability Techniques for HPC Systems. In: Wyrzykowski, R., Dongarra, J., Deelman, E., Karczewski, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2022. Lecture Notes in Computer Science, vol 13827. Springer, Cham. https://doi.org/10.1007/978-3-031-30445-3_7
  4. Surbhi Sharma, Ribana Roscher, Morris Riedel, Shahbaz Memon, and Gabriele Cavallaro, ”Improving Generalization for Few-Shot Remote Sensing Classification with Meta-Learning”, in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022.
  5. Yingjin Qian, Wen Cheng, Lingfang Zeng, Marc-André Vef, Oleg Drokin, Andreas Dilger, Shuichi Ihara, Wusheng Zhang, Yang Wang, André Brinkmann.  MetaWBC: POSIX-compliant metadata write-back caching for distributed file systems. The International Conference for High Performance Computing, Networking, Storage, and Analysis 2022 (SC 22). Dallas, 13-18 November 2022 (published) LINK .
  6. Marc-André Vef, Alberto Miranda, Ramon Nou, and André Brinkmann. “From Static to Malleable: Improving Flexibility and Compatibility in Burst Buffer File Systems” HPCMALL 2023, ISC Workshop.
  7. Nafiseh Moti, Reza Salkhordeh, André Brinkmann. Protected Functions: User Space Privileged Function Calls. 35th GI/ITG International Conference on Architecture of Computing Systems (ARCS ´22). September 13-15, 2022. Heilbron, Germany. (published) LINK
  8. Alberto Cascajo, David E. Singh and Jesús Carretero. Utilización de proxies maleables para detectar interferencia y mejorar la planificación de aplicaciones. Jornadas SARTECO 2022. Septiembre 22-25, Alicante, Spain.
  9. Diego Camarmas-Alonso; Felix Garcia-Carballeira; Alejandro Calderon Mateos; Jesus Carretero Perez. Sistema de almacenamiento Ad-Hoc para entornos HPC basado en el sistema de ficheros paralelo Expand. Jornadas SARTECO 2022. Septiembre 22-25, Alicante, Spain. https://doi.org/10.5281/zenodo.6862882
  10. Javier Garcia-Blas. “IMMS: In-Memory Storage System for Data Intensive Applications”. HPCMALL2022. Workshop on Malleability Techniques Applications in High-Performance Computing. ISC 2022. May 29-June 02 2022. Hamburg. Germany.
  11. Alberto Cascajo, David E. Singh and Jesús Carretero. “Detecting interference between applications and improving the scheduling tasks using malleable proxies based on application models”. HPCMALL2022. Workshop on Malleability Techniques Applications in High-Performance Computing. ISC 2022. ISC 2022. May 29-June 02 2022. Hamburg. Germany. LINK.
  12. Jean-Baptiste Besnard, Ahmad Tarraf, Clément Barthelemy, Emmanuel Jeannot, Sameer Shende, Felix Wolf and Alberto Cascajo. “Smart Schedulers: Molding Jobs into the Right Shape via Monitoring and Modeling.” HPCMALL 2023, ISC Workshop LINK
  13. Marc-André Vef. “Supporting malleability in the GekkoFS distributed burst buffer file system”. HPC-IODC: HPC I/O in the Data Center Workshop. ISC 2022 . (In press).
  14. Yi Ju, Adalberto Perez, Stefano Markidis, Philipp Schlatter, Erwin Laure. Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications & IEEE eScience 2022. Accepted (future publication)
  15.  Yingjin Qian, Wen Cheng, Lingfang Zeng, Marc-André Vef, Oleg Drokin, Andreas Dilger, Shuichi Ihara, Wusheng Zhang, Yang Wang, André Brinkmann.  MetaWBC: POSIX-compliant metadata write-back caching for distributed file systems. The International Conference for High Performance Computing, Networking, Storage, and Analysis 2022 (SC 22). Dallas, 13-18 November 2022.
  16. Taylan Özden, Tim Beringer, Arya Mazaheri, Hamid Mohammadi Fard, Felix Wolf. ElastiSim: A Batch-System Simulator for Malleable Workloads. ICPP 2022: 51st International Conference on Parallel Processing. ACM International Conference Proceeding Series. August 29th to Sept 1st, 2022..
  17. Alberto Cascajo, Gabriel Gomez-Lopez, Jesus Escudero-Sahuquillo, Pedro Javier Garcia, David E. Singh, Francisco Alfaro-Cortés, Francisco J. Quiles and Jesus Carretero. Improving Congestion Control through Fine-Grain Monitoring of InfiniBand Networks. HOTI 2022: 29th IEEE Hot Interconnects symposium. August, 17 – 19th. Online conference.
  18. Angelina Horn, Hamid Mohammadi Fard, Felix Wolf. Multi-objective Hybrid Autoscaling of Microservices in Kubernetes Clusters. Euro-Par 2022: 28th International European Conference on Parallel and Distributed Computing. LNCS,volume 13440. Springer. Pp 233–250. 22-26 August 2022. Glasgow, UK. LINK
  19. Miguel Guzmán-Merino, Christian Durán, Maria-Cristina Marinescu, Concepción Delgado-Sanz, Diana Gomez-Barroso, Jesus Carretero & David E. Singh. Data Management in EpiGraph COVID-19 Epidemic Simulator. Euro-Par 2021: 27th International European Conference on Parallel and Distributed Computing. 30 August – 3 September 2021. Lisbon, Portugal. LINK. eArchive.
  20. Alberto Cascajo, David E. Singh and Jesús Carretero. Energy Consumption Studies of WRF Executions with the LIMITLESS Monitor. LATIN AMERICA HIGH PERFORMANCE COMPUTING CONFERENCE – CARLA 2021. October 6 -8 2021. Guadalajara, México. LINK.
  21. Fracieli Boito, Guillaume Pallez, Luan Teylo. The role of storage target allocation in applications’ I/O performance with BeeGFS. IEEE Cluster 2022. September 6-9, 2022, Heidelberg, Germany. LINK.
  22. Yi Ju, Adalberto Perez, Stefano Markidis, Philipp Schlatter, Erwin Laure. “Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications” in eScience 2022
  23. Marcus Ritter, Ahmad Tarraf, Alexander Geiß, Nour Daoud, Bernd Mohr, Felix Wolf: Conquering Noise With Hardware Counters on HPC Systems. In Proc. of the Workshop on Programming and Performance Visualization Tools (ProTools), held in conjunction with the Supercomputing Conference (SC22), pages 1–10, IEEE, 2022. LINK  DOI: http://dx.doi.org/10.1109/ProTools56701.2022.00007
  24. Marco Aldinucci. University of Torino. Keynote: “The modernization of HPC applications for the cloud era. Fifth EAGE Workshop on High Performance Computing for Upstream”. Heterogeneous HPC: Challenges, Current & Future Trends. 6-8 September 2021. LINK
  25. Frederic Schimmelpfennig, Marc-André Vef, Reza Salkhordeh, Alberto Miranda, Ramon Nou, and André Brinkmann. 2021. “Streamlining distributed Deep Learning I/O with ad hoc file systems”. In 23rd IEEE Cluster Conference (CLUSTER). 2021. LINK
  26. Aldinucci, M., Agosta, G., Andreini, A., Ardagna, C. A., Bartolini, A., Cilardo, A., … & Torquati, M. (2021, May). “The Italian research on HPC key technologies across EuroHPC”. In Proceedings of the 18th ACM International Conference on Computing Frontiers (pp. 178-184). LINK
  27. Carretero, J. Session Chair. Europar 21. Panel “European Initiative Projects Towards Exascale Computing”. September 3rd 2021, Lisbon. LINK
  28. Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure           In-Situ Techniques on GPU-Accelerated Data-Intensive Applications                    2023 IEEE 19th International Conference on e-Science (e-Science) 2023 Oct 9 (pp. 1-10)                 10.1109/E-SCIENCE58273.2023.10254865       
  29. Seyed Ali Mohammadi, Lukas Rothenberger, Gustavo de Morais, Bertin Nico Görlich, Erik Lille, Hendrik Rüthers, and Felix Wolf
    (Presented at SC23 by Lukas Rothenberger)                     Filtering and Ranking of Code Regions for Parallelization via Hotspot Detection and OpenMP Overhead Analysis                                             In Proceedings of the SC ’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W ’23). Association for Computing Machinery, New York, NY, USA, 1368–1379                    https://doi.org/10.1145/3624062.3624206          https://github.com/discopop-project
  30. Ritter, Marcus; Wolf, Felix    Extra-Deep: Automated Empirical Performance Modeling for Distributed Deep Learning   In Proc. of the Workshop on Programming and Performance Visualization Tools (ProTools), held in conjunction with the Supercomputing Conference (SC23). Association for Computing Machinery, New York, NY, USA, 1343–1356                            https://doi.org/10.1145/3624062.3624204  https://git.rwth-aachen.de/parallel/sci-staff/dissemination/-/blob/master/publications/2023/ProTools_ritter/paper/Extra-Deep.pdf
  31. De Luca, Pasquale, Diana Di Luccio, Ardelio Galletti, Giulio Giunta, Livia Marcellino, and Raffaele Montella                Towards a GPU parallel software for environmental data fitting                                             Proceedings    15th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA ’22) pp. 469-472. June 2022.                   doi:10.1145/3529190.3534776                 https://dl.acm.org/doi/10.1145/3529190.3534776
  32. C. G. de Vita, G. Mellone, F. Barchiesi, D. Di Luccio, A. Ciaramella and R. Montella                                                   Artificial Intelligence for mussels farm quality assessment and prediction                              Proceedings    2022 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea), Milazzo, Italy, October 2022, pp. 33-38                                                doi: 10.1109/MetroSea55331.2022.9950875                             https://ieeexplore.ieee.org/document/9950875
  33. G. Mellone, C. G. de Vita, E. Zambianchi, D. E. Singh, D. Di Luccio and R. Montella                                                  Democratizing the computational environmental marine data science: using the High-Performance Cloud-Native Computing for inert transport and diffusion Lagrangian modelling                 Proceedings       2022 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea), Milazzo, Italy, October 2022, pp. 267-272.                         doi: 10.1109/MetroSea55331.2022.9950862                 https://ieeexplore.ieee.org/document/9950862
  34. C. G. De Vita, G. Mellone, D. Di Luccio, S. Kosta, A. Ciaramella and R. Montella                                                       AIQUAM: Artificial Intelligence-based water QUAlity Model, Proceedings                           2022 IEEE 18th International Conference on e-Science (e-Science), Salt Lake City, UT, USA, October 2022, pp. 401-402                                       doi: 10.1109/eScience55777.2022.00058                 https://ieeexplore.ieee.org/document/9973587
  35. R. Montella, D. Di Luccio, C.G. De Vita, G. Mellone, M. Lapegna, G. Ortega, L. Marcellino, E. Zambianchi, and G. Giunta          A highly scalable high-performance Lagrangian transport and diffusion model for marine pollutants assessment                                           Proceedings       31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2023), Naples, Italy,March  2023, pp. 17-26       doi: 10.1109/PDP59025.2023.00012                                        https://ieeexplore.ieee.org/document/10137219
  36. C. G. De Vita, G. Mellone, A. Florio, C. A. Torres Charles, D. Di Luccio, M. Lapegna, G. Benassai, G. Budillon, and R. Montella Parallel and hierarchically-distributed Shoreline Alert Model (SAM)        Proceedings    31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2023), Naples, Italy,March  2023, pp. 109-113                                                        doi: 10.1109/PDP59025.2023.00024                                        https://ieeexplore.ieee.org/document/10136945
  37. Y. Arfat, G. Mittone, I. Colonnelli, F. D’Ascenzo, R. Esposito and M. Aldinucci                                                            Pooling critical datasets with Federated Learning             Proceedings                           31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2023), Naples, Italy,March  2023, pp. 329-337                doi: 10.1109/PDP59025.2023.00057                 https://iris.unito.it/bitstream/2318/1890256/1/23_pdp_fl.pdf (preprint)
  38. J. Carretero, J. Garcia-Blas, M. Aldinucci, J. B. B. Besnard, J. Acquaviva, A. Brinkmann, M. Vef, E. Jeannot, A. Miranda, R. Nou, M. Riedel, M. Torquati, and F. Wolf           Adaptive multi-tier intelligent data manager for Exascale                                                 Proceedings       20th ACM International Conference on Computing Frontiers (CF ’23), Bologna, Italy, May 2023, Pages 285–290                         doi:10.1145/3587135.3592174                 https://dl.acm.org/doi/abs/10.1145/3587135.3592174
  39. P. Ângelo, V. Bono, M. D. -Giancaglini, and M. Florido        Gradual Guarantee for FJ with lambda-Expressions          Proceedings       25th ACM International Workshop on Formal Techniques for Java-like Programs, FTfJP 2023, Seattle, WA, USA, 18 July 2023, 2023, p. 32–38.                 doi:10.1145/3605156.3606453                         https://dl.acm.org/doi/10.1145/3605156.3606453
  40. M. Aldinucci, A. Antelmi, D. Gregori, F. Polzella, G. Spinatelli, M.Torquati   The SWH-Analytics Framework                 Proceedings       The 2nd Italian Conference on Big Data and Data, September 11-13 2023
    University of Naples “Parthenope”
    Naples, Italy                        To Appear                               
  41. A. R. Martinelli, M. Torquati, M. Aldinuccci, I. Colonnelli, B. Cantalupo        CAPIO: a Middleware for Transparent I/O Streaming in Data-Intensive Workflows Proceedings       30th IEEE International Conference on High Performance Computing, Data, and Analytics, December 18-21, 2023
    Goa, India To Appear           
  42. Yingjin Qian, Wen Cheng, Lingfang Zeng, Xi Li, Marc-André Vef, Andreas Dilger, Siyao Lai, Shuichi Ihara, Yong Fan, and André Brinkmann      Xfast: Extreme File Attribute Stat Acceleration for Lustre              Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), Denver, CO, USA, November 12-17                Once a year                 https://doi.org/10.1145/3581784.3607080           
  43. Marco Aldinucci                   The modernization of HPC applications for the cloud era. Fifth EAGE Workshop on High Performance Computing for Upstream. Heterogeneous HPC: Challenges, Current & Future Trends       Fifth EAGE Workshop on High Performance Computing for Upstream. Heterogeneous HPC: Challenges, Current & Future Trends                                          https://www.earthdoc.org/content/proceedings/fifth-hpc-ws
  44. Aldinucci, Marco and Agosta, Giovanni and Andreini, Antonio and Ardagna, Claudio A. and Bartolini, Andrea and Cilardo, Alessandro and Cosenza, Biagio and Danelutto, Marco and Esposito, Roberto and Fornaciari, William and Giorgi, Roberto and Lengani, Davide and Montella, Raffaele and Olivieri, Mauro and Saponara, Sergio and Simoni, Daniele and Torquati, Massimo                                                     The Italian Research on HPC Key Technologies across EuroHPC                                   Proceedings of the 18th ACM International Conference on Computing Frontiers       CF ’21: Proceedings of the 18th ACM International Conference on Computing Frontiers                                                         10.1145/3457388.3458508                 https://iris.unito.it/retrieve/handle/2318/1783118/744641/preprint.pdf
  45. Frederic Schimmelpfennig, Marc-André Vef, Reza Salkhordeh, Alberto Miranda, Ramon Nou, and André Brinkmann   Streamlining distributed Deep Learning I/O with ad hoc file systems.                                23rd IEEE Cluster Conference                                         Proceeding of the 23rd IEEE Cluster Conference             10.1109/cluster48925.2021.00062                  https://seafile.rlp.net/f/2242b7a3a84f405980fc/
  46. Nafiseh Moti, Reza Salkhordeh, André Brinkmann              Protected Functions: User Space Privileged Function Calls  ARCS 2022: International Conference on Architecture of Computing Systems                                   10.1007/978-3-031-21867-5_8                 https://seafile.rlp.net/f/12252c0e11874aa89e2a/?dl=1
  47. Yingjin Qian, Wen Cheng, Lingfang Zeng, Marc-André Vef, Oleg Drokin, Andreas Dilger, Shuichi Ihara, Wusheng Zhang, Yang Wang, André Brinkmann MetaWBC: POSIX-Compliant Metadata Write-Back Caching for Distributed File Systems                          The International Conference for High Performance Computing, Networking, Storage, and Analysis 2022 (SC22)                                                           10.1109/SC41404.2022.00061                 https://seafile.rlp.net/f/c09ddb469917484c853e/
  48. Angelina Horn, Hamid Mohammadi Fard, Felix Wolf           Multi-objective Hybrid Autoscaling of Microservices in {Kubernetes} Clusters            Proc. of the 28th Euro-Par Conference: Parallel Processing, Glasgow, UK              13440                                                      10.1007/978-3-031-12597-3_15                 https://rdcu.be/cVbM6
  49. Taylan Özden, Tim Beringer, Arya Mazaheri, Hamid Mohammadi Fard, Felix Wolf                                                     ElastiSim: A Batch-System Simulator for Malleable Workloads                                     Proc. of the 51st International Conference on Parallel Processing (ICPP), Bordeaux, France                 51st International Conference on Parallel Processing.  ICPP 2022                                                               
  50. Boito, Francieli; Pallez, Guillaume; Teylo, Luan                  The role of storage target allocation in applications’ I/O performance with BeeGFS                 CLUSTER 2022 – IEEE International Conference on Cluster Computing. https://clustercomp.org/2022/                         10.1109/cluster51413.2022.00039                    https://hal.inria.fr/hal-03753813
  51. Miguel Guzmán-Merino, Christian Durán, Maria-Cristina Marinescu, Concepción Delgado-Sanz, Diana Gomez-Barroso, Jesus Carretero , David E. Singh        Data Management in EpiGraph COVID-19 Epidemic Simulator European Conference on Parallel Processing           Euro-Par 2021: Parallel Processing Workshops.       10.1007/978-3-031-06156-1_22                     https://researchportal.uc3m.es/display/act548525
  52. Alberto Cascajo, David E. Singh, Jesús Carretero, Andres Bustos, Antonio Juan Rubio-Montero, Elena García-Bustamante, José A. Moriñigo, Rafael Mayo – García                     Energy Consumption Studies of WRF Executions with the LIMITLESS Monitor                LATIN AMERICA HIGH PERFORMANCE COMPUTING CONFERENCE – CARLA 2021                vol 1540                                                   10.1007/978-3-031-04209-6_2                 https://www.researchgate.net/publication/352398370_LIMITLESS_-_LIght-weight_MonItoring_Tool_for_LargE_Scale_Systems
  53. Surbhi Sharma, Ribana Roscher, Morris Riedel, Shahbaz Memon and Gabriele Cavallaro                                          Improving Generalization for Few-Shot Remote Sensing Classification with Meta-Learning                    IEEE International Geoscience and Remote Sensing Symposium (GRSS)                 Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (GRSS)                 10.1109/igarss46834.2022.9884699                 http://hdl.handle.net/2128/31857
  54. De Vita, Ciro Giuseppe; Mellone, Gennaro; Di Luccio, Diana; Kosta, Sokol; Ciaramella, Angelo; Montella, Raffaele     
    AIQUAM: Artificial Intelligence-based water QUAlity Model IEEE eScience 2022                                                        1 10.5281/zenodo.7129476                 https://zenodo.org/record/7129476
  55. Marc-André Vef, Alberto Miranda, Ramon Nou, André Brinkmann          From Static to Malleable: Improving Flexibility and Compatibility in Burst Buffer File Systems           HPCMALL 2023                         https://seafile.rlp.net/f/9bb62d3f18c4412d9210/