Publications

Journal Articles

  1. Reghenzani F., et al., “The Misconception of Exponential Tail Upper-Bounding in Probabilistic Real Time”, IEEE Embedded Systems Letters, vol. 11 is. 3, 2018.
  2. Reghenzani F., et al., “The Real Time Linux Kernel: A Survey on PREEMPT_RT”, ACM Computing Surveys (CSUR), Volume 52, Issue 1, Article 18, Feb 2019
  3. Martino R., et al., “A Flexible Framework for Exploring, Evaluating, and Comparing SHA 2 Designs”, IEEE Access, Volume 7, pp. 72443 72456, May 30, 2019
  4. Reghenzani F., et al., “Statistical power estimation dataset for external validation GoF tests on EVT distribution”, Data in Brief, Volume 25, August 2019
  5. Fusi, et al., “On the Use of Probabilistic Worst-Case Execution Time Estimation for Parallel Applications in High Performance Systems”, Mathematics 2020, 8(3), 314.
  6. Scotti G., et al., “A Fresh View on the Microarchitectural Design of FPGA-Based RISC CPUs in the IoT Era”, J. Low Power Electron. Appl. 2019.
  7. Pupykina A., et al., “Survey of Memory Management Techniques for HPC and Cloud Computing”, IEEE Access, October, 2019.
  8. Zoni D., et al., “All-Digital Energy-Constrained Controller for General-Purpose Accelerators and CPUs”, IEEE Embedded Systems Letters, vol. 12 is. 1, 2019.
  9. Agosta G., et al., “The RECIPE Approach to Challenges in Deeply Heterogeneous High Performance Systems”, Microprocessors and Microsystems, Volume 77, 2020. (pre-print)
  10. Zoni D., et al., “Flexible and Scalable FPGA-Oriented Design of Multipliers for Large Binary Polynomials”, IEEE Access, vol. 8, April, 2020.
  11. Silva-de-Souza W., et al., “Containergy—A Container-Based Energy and Performance Profiling Tool for Next Generation Workloads”, Energies 2020.
  12. Zoni D., et al., “All-Digital Control-Theoretic Scheme to Optimize Energy Budget and Allocation in Multi-Cores”, IEEE Transactions on Computers, volume 69 issue 5, May, 2020.
  13. Canal R., et al., “Predictive Reliability and Fault Management in Exascale Systems: State of the Art and Perspectives”, ACM Computing Surveys, volume 53 issue 5 article 95, September, 2020.
  14. Denkinger B.W., et al., “Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices”, IEEE Design & Test, volume 37 issue 2, October, 2019.
  15. Cherubin et al., “Tools for Reduced Precision Computation: A Survey”, ACM Computing Surveys, vol. 53, is. 2, no. 33, April, 2020.
  16. Zoni et al., “Efficient and Scalable FPGA-Oriented Design of QC-LDPC Bit-Flipping Decoders for Post-Quantum Cryptography”, IEEE Access volume 8, August, 2020.
  17. Reghenzani et al., “Dealing with Uncertainty in pWCET Estimations”, ACM Transactions on Embedded Computing Systems, vol. 19, is. 5, no. 33, September, 2020.
  18. Cherubin et al., “Dynamic Precision Autotuning with TAFFO”, ACM Transactions on Architecture and Code Optimization, vol. 17, is. 2, no. 10, May, 2020.
  19. Bhuiyan A., et al., “Optimizing Energy in Non-Preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 39, is. 11, October, 2020.
  20. Cremona L., et al., “Automatic identification and hardware implementation of a resource-constrained power model for embedded systems”, Sustainable Computing: Informatics and Systems, November, 2020.
  21. Qureshi Y.M., et al., “Genome Sequence Alignment – Design Space Exploration for Optimal Performance and Energy Architectures”, IEEE Transactions on Computers, 2020.
  22. Costero L., et al., “Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning”, IEEE Transactions on Parallel and Distributed Systems, vol 31 is.2, 2020.
  23. Reghenzani F., Timing Predictability in High-Performance Computing With Probabilistic Real-Time, IEEE Access 8, 2020.
  24. Pahlevan A., ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets
    , IEEE Transactions on Sustainable Computing 6(2), 2020.
  25. Cattaneo D., et al., “FixM: Code generation of fixed point mathematical functions”, Sustainable Computing: Informatics and Systems, vol. 29, part B, March, 2021.
  26. Picornell T. et al., Enforcing Predictability of Many-Cores With DCFNoC, IEEE Transactions on Computers 70 (2), 270-283, 2021.
  27. Terraneo F. et al., 3D-ICE 3.0: efficient nonlinear MPSoC thermal simulation with pluggable heat sink models, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021.
  28. Cilardo A., Evaluation of HPC Acceleration and Interconnect Technologies for High-Throughput Data Acquisition, Sensors 22: 7759, 2021.

Conference Papers


  1. Reghenzani F., et al., “A constrained extremum seeking control for CPU thermal management”, Proceedings of the 15th ACM International Conference on Computing Frontiers, pp. 320 325, May 2018
  2. Zanella M., et al., “Back to the future: resource management in post-cloud solutions”, ProcINTESA ’18: Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications, October 2018
  3. Fornaciari W., et al., “Reliable Power and Time Constraints Aware Predictive Management of Heterogeneous Exascale Systems”, Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling , and Simulation, pp. 187 194, July 2018.
  4. Iranfar A., et al., “Enhancing Two Phase Cooling Efficiency through Thermal Aware Workload Mapping for Power Hungry Servers”, Design, Automation, and Test in Europe Conference & Exhibition (DATE), Jan 2019.
  5. Costero L ., et al., “Multi Agent Reinforcement Learning for Efficient Real Time Multi User Video Transcoding Design”, Automation, and Test in Europe Conference & Exhibition (DATE), March 2019.
  6. Qureshi Y., et al., “Gem5 X: A gem5 based System Level Simulation Framework to Optimize Many Core Platforms ”, High Performance Computing Symposium. Spring Simulation Conference (SpringSim), April 2019 Best Runner Up Paper Award.
  7. Simon, W.A., et al., “BLADE: A BitLine Accelerator for Devices on the Edge”, ACM Great Lakes Symposium on VLSI (GLSVLSI), May 2019
  8. Reghenzani F., et al., “Probabilistic-WCET Reliability: On the experimental validation of EVT hypotheses”, Proceeding of the International Conference on Omni Layer Intelligent Systems, pp. 229 234, May 2019
  9. Picornell T. et al., “DCFNoC : A Delayed Conflict Free Time Division Multiplexing Network on Chip”, Proceedings of the 56th Annual Design Automation Conference 2019
  10. Reghenzani F., et al., “A Probabilistic Approach To Energy-Constrained Mixed Criticality Systems”, 2019 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), July 2019
  11. Massari G., et al., “Predictive Resource Management for Next-Generation High-Performance Computing Heterogeneous Platforms
    ”    , Proceedings of International Conference on Embedded Computer Systems, July 2019
  12. Agosta G., et al., “Challenges in Deeply Heterogeneous High Performance Systems”, Proceedings of Euromicro Conference on Digital System Design (DSD), August 2019
  13. Terraneo F., et al., “An Open-Hardware Platform for MPSoC Thermal Modeling”, SAMOS 2019: Embedded Computer Systems: Architectures, Modeling, and Simulation, August 2019
  14. Iranfar , A., et al., “A Machine Learning Based Framework for Throughput Estimation of Time Varying Applications in Multi Core Servers”, IEEE Int. Conf. on Very Large Scale Integration (VLSI SoC), Oct 2019
  15. Pupykina A. and Agosta G., “Prediction based Partitions Evaluation Algorithm for Resource Allocation”, Proceedings of the 2019 Parallel Computing Conference (ParCo), 2019
  16. Agosta G., et al., “Challenges in Deeply Heterogeneous High Performance Systems”, 22nd Euromicro Conference on Digital System Design (DSD), Kallithea, Greece, pp. 428-435, 2019.
  17. Eltaras T.A., et al., “Partial Packet Forwarding to Improve Performance in Fully Adaptive Routing for Cache-Coherent NoCs”, 27th Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2019.
  18. Zanella M., et al., “Run-Time Managed Mobile Application Execution”, 2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC), 2019.
  19. Costero L., et al., “MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding”, 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2019
  20. Iranfar A., et al., “Enhancing Two-Phase Cooling Efficiency through Thermal-Aware Workload Mapping for Power-Hungry Servers”, 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2019
  21. Martino R., et al., “A Configurable Implementation of the SHA-256 Hash Function”, 3PGCIC 2019: Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019.
  22. Simon W.A., et al., “BLADE: A BitLine Accelerator for Devices on the Edge”, GLSVLSI ’19: Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019.
  23. Barenghi A., et al., “Evaluating the Trade-offs in the Hardware Design of the LEDAcrypt Encryption Functions”, IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2019.
  24. Qureshi Y.M., et al., “Gem5-X: A Gem5-Based System Level Simulation Framework to Optimize Many-Core Platforms”, 2019 Spring Simulation Conference (SpringSim), 2019.
  25. Henares K., et al., “Definition Of A Transparent Constraint-Based Modeling And Simulation Layer For The Management Of Complex Systems”, 2019 Spring Simulation Conference (SpringSim), 2019.
  26. De Souza W.S., et al., “A QoS and Container-Based Approach for Energy Saving and Performance Profiling in Multi-Core Servers”, 2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC), December, 2019.
  27. Iranfar, A., et al., “Dynamic Thermal Management with Proactive Fan Speed Control Through Reinforcement Learning”, Proceedings Design, Automation and Test in Europe Conference and Exhibition, March, 2020.
  28. Cilardo A., et al., “Evaluating Reconfigurable Hardware for Accelerating Industrial CT”, International Conference on Industrial Engineering and Applications (ICIEA), April, 2020.
  29. Levisse A., et al., “Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI Systems”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May, 2020.
  30. Crippa S., et al., “Predictive Resource Management in Energy-constrained Embedded Systems”, Euromicro Symposium on Digital System Design (DSD), 2020.
  31. Cremona L., et al., “VGM-Bench: FPU Benchmark Suite for Computer Vision, Computer Graphics and Machine Learning Applications”, SAMOS 2020: Embedded Computer Systems: Architectures, Modeling, and Simulation, October, 2020.
  32. Premi L., et al., “A Game Theory Approach to Heterogeneous Resource Management: Work-in-Progress”, 2020 Proceedings of the International Conference on Embedded Software (EMSOFT), 2020.
  33. Fossati N., et al., “Automated Precision Tuning in Activity Classification Systems: A Case Study”, PARMA-DITAM’2020, 2020.
  34. Magnani G., Cattaneo D., Chiari M., Agosta, G., The Impact of Precision Tuning on Embedded Systems Performance: A Case Study on Field-Oriented Control, 12th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and 10th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2021), 2021.
  35. Flich J. et al., From a FPGA Prototyping Platform to a Computing Platform: The MANGO Experience, DATE 2021, 7-12, 2021.
  36. Picornell T. et al., DCFNoC: A Delayed Conflict-Free Time Division Multiplexing Network on Chip, DAC 2019, 7-12, 2021.

Technical Reports

  1. Petar Radojkovic, Manolis Marazakis, Paul Carpenter, Reiley Jeyapaul, Dimitris Gizopoulos, Martin Schulz, Adria Armejach, Eduard Ayguade, François Bodin, Ramon Canal, et al. Towards Resilient EU HPC Systems: A Blueprint. European HPC resilience initiative. 2020.

Others

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