Learning based Memory Interference Prediction for Co-running Applications on Multi-Cores
Publication in Conference Proceedings/Workshop

Ahsan Saeed, Daniel Mueller-Gritschneder, Falk Rehm, Arne Hamann, Dirk Ziegenbein, Ulf Schlichtmann, Andreas Gerstlauer. Learning based Memory Interference Prediction for Co-running Applications on Multi-Cores.


Repository link: http://slam.ece.utexas.edu/pubs/mlcad21.IARP.pdf
Publication link: https://ieeexplore.ieee.org/document/9531245
DOI: 10.1109/MLCAD52597.2021.9531245
Migrating Constant Bandwidth Servers on Multi-Cores
Publication in Conference Proceedings/Workshop

T. Cucinotta, L. Abeni. "Migrating Constant Bandwidth Servers on Multi-Cores," in Proceedings of the 29th International Conference on Real-Time Networks and Systems (RTNS 2021), April 7-9, 2021, Nantes, France.

Available software

  • Open-source simulator: To to reproduce all the results shown in the paper, follow the instructions in the enclosed README.txt file.

Publication link: http://retis.sssup.it/~tommaso/publications/RTNS-2021.pdf
Performance modeling of Heterogeneous HW Platforms
Article in journal

Rehm, F., Dasari, D., Hamann, A., Pressler, M., Ziegenbein, D., Seitter, J., Sanudo, I., Capodieci, N., Bertogna, M. (2021). Performance modeling of heterogeneous HW platforms. Microprocessors and Microsystems, 87.


Repository link: https://zenodo.org/record/7689269#.ZAiUux_MKUk
Publication link: https://www.sciencedirect.com/science/article/abs/pii/S0141933121004956?via%3Dihub
DOI: https://doi.org/10.1016/j.micpro.2021.104336
Real-time Issues in the Ada Parallel Model with OpenMP
Article in journal

Luis Miguel Pinho, Sara Royuela Alcázar, and Eduardo Quiñones. Real-time Issues in the Ada Parallel Model with OpenMP.


Repository link: https://upcommons.upc.edu/handle/2117/349202
Publication link: https://dl.acm.org/doi/10.1145/3463478.3463491
DOI: https://doi.org/10.1145/3463478.3463491
Time-Predictable Acceleration of Deep Neural Networks on FPGA SoC Platforms
Publication in Conference Proceedings/Workshop

F. Restuccia and A. Biondi, "Time-Predictable Acceleration of Deep Neural Networks on FPGA SoC Platforms," 2021 IEEE Real-Time Systems Symposium (RTSS), Dortmund, DE, 2021, pp. 441-454, doi: 10.1109/RTSS52674.2021.00047.


Repository link: https://www.iris.sssup.it/handle/11382/545030?mode=complete
Publication link: https://ieeexplore.ieee.org/document/9622368/citations#citations
DOI: 10.1109/RTSS52674.2021.00047
A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimization
Publication in Conference Proceedings/Workshop

Eduardo Quiñones, Sara Royuela, Claudio Scordino, Paolo Gai, Luis Miguel Pinho, Luis Nogueira, Jan Rollo, Tommaso Cucinotta, Alessandro Biondi, Arne Hamann, Dirk Ziegenbein, Hadi Saoud, Romain Soulat, Björn Forsberg, Luca Benini, Gianluca Mando, Luigi Rucher. A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimization. 


Repository link: https://upcommons.upc.edu/handle/2117/191574
Publication link: https://ieeexplore.ieee.org/abstract/document/9113000
DOI: https://doi.org/10.1109/ISORC49007.2020.00042
A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi Core
Oral presentation

Björn Forsberg. A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi.


Publication link: https://www.youtube.com/watch?reload=9&v=n4pyvDcbCe4&list=PLyrlk8Xaylp4KF3J_svUstmH-l9RERLDV&index=3&t=0s
A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi-Cores
Publication in Conference Proceedings/Workshop

Björn Forsberg, Maxim Mattheeuws, Andreas Kurth, Andrea Marongiu, Luca Benini. A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi-Cores. 


Repository link: https://www.research-collection.ethz.ch/handle/20.500.11850/420966
Publication link: https://dl.acm.org/doi/abs/10.1145/3372799.3394369
DOI: https://doi.org/10.1145/3372799.3394369
A Toolchain to Verify the Parallelization of OmpSs-2 Applications
Publication in Conference Proceedings/Workshop

Simone Economo, Sara Royuela, Eduard Ayguadé, Vicenç Beltran.  A Toolchain to Verify the Parallelization of OmpSs-2 Applications.


Repository link: https://upcommons.upc.edu/handle/2117/330464
Publication link: https://link.springer.com/chapter/10.1007%2F978-3-030-57675-2_2
DOI: https://doi.org/10.1007/978-3-030-57675-2_2
AMPERE: A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation
Poster presentation

Eduardo Quiñones, Sara Royuela, Arne Hamann, Dirk Ziegenbein, Björn Fosberg, Luca Benini, Claudio Scordino, Paolo Gai, Luis Miguel Pinho, Luis Nogueira, Tomasso Cucinotta, Alessandro Biondi, Jan Rollo, Hadi Saoud, Romain Soulat, Gianluca Mando, Luigi Rucher. AMPERE: A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation.


Publication link: https://www.hipeac.net/media/public/files/14/6928/DATE2020_HiPEAC_Booth-AMPERE_Project.pdf