All Stories

  1. SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference
  2. Modeling and Controlling Many-Core HPC Processors: An Alternative to PID and Moving Average Algorithms
  3. MCBound: An Online Framework to Characterize and Classify Memory/Compute-bound HPC Jobs
  4. Predicting Compute Node Unavailability in HPC: A Graph-Based Machine Learning Approach
  5. Unleashing OpenTitan's Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading
  6. Detecting LiDAR Contamination in Self-Driving Cars
  7. ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC
  8. Exploring the Utility of Graph Methods in HPC Thermal Modeling
  9. NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores
  10. Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips
  11. TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle
  12. PM100: A Job Power Consumption Dataset of a Large-scale Production HPC System
  13. Device-Edge-Cloud Intelligent Collaboration Framework
  14. Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning
  15. Graph Neural Networks for Anomaly Anticipation in HPC Systems
  16. Graph-Optimizer: Towards Predictable Large-Scale Graph Processing Workloads
  17. Multi-level anomaly prediction in Tier-0 datacenter
  18. Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance
  19. Semi-supervised anomaly detection on a Tier-0 HPC system
  20. The Italian research on HPC key technologies across EuroHPC
  21. Paving the Way Toward Energy-Aware and Automated Datacentre
  22. The D.A.V.I.D.E. big-data-powered fine-grain power and performance monitoring support
  23. Don't burn your mobile!