Lightning Talks
Lightning Talks - 2023
- Matteo Barborini, QMeCha - quantum Monte Carlo package: features, implementations, performances and future developments, November 2023.
- Tobias Fischbach, The Energy Consumption of Computation, November 2023.
- Georgios Kafanas, Practical aspects of hybrid system simulation and analysis, October 2023.
- Jingjing Xu, BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph, September 2023.
- Caesar Wu, Trustworthy AI: For Strategic Investment Decision Regarding Credit Default Swaps (CDS) Using HPC, September 2023.
- Oscar Castro, Multi-target compiler for the deployment of machine learning models, July 2023.
- Mohammed Alswaitti, Data-Centric Green AI, July 2023.
- Lucas Alegre, Towards Sample-Efficient Multi-Objective Reinforcement Learning, June 2023.
- Pierrick Pochelu, Optimizing GPU Usage for Deep Learning Workloads: Insights and Strategies for Enhanced Efficiency, June 2023.
- Éric Monfroy, Grammar Inference: NFA learning with constraints, May 2023.
- Pierre Talbot, Constraint Programming with External Worst-Case Traversal Time Analysis, May 2023.
- Guillaume Helbecque, Productivity-aware parallel cooperative combinatorial optimization for ultra-scale supercomputers, April 2023.
- Muhammad Arslan Tariq, Towards Unified Data Ingestion and Transfer: A Comparison of Apache Kafka and Rucio, April 2023.
- Carlos J. Barrios H., Towads Advanced Computing Architecture: HPC + AI + QC, March 2023.
- Daniel H. Stolfi, Distributed Robot Swarm Formation Systems, March 2023.
- Rohi Tariq, Graph Partitioning Clustering with User-Specified Relative Density, February 2023.
- Pierre-Yves Houitte, Universal experimentation framework to simulate and test swarm of autonomous robots, February 2023.
Lightning Talks - 2021
Lightning Talks - 2020
