Program

08:25 AM – 08:30 AM, Opening Remarks
Didier El Baz, Grégoire Danoy 

08:30 AM – 10:00 AM, Session 1

- PDCO-01: GPU-Accelerated Tree-Search in Chapel: Comparing Against CUDA and HIP on Nvidia and AMD GPUs
Guillaume Helbecque, Ezhilmathi Krishnasamy, Nouredine Melab, Pascal Bouvry

- PDCO-02: Parallel Maximum Cardinality Matching for General Graphs on GPUs;
Gregory Schwing, Daniel Grosu, Loren Schwiebert

- PDCO-05: GP-LSolve: An Efficient GPU-based Laplacian Solver for Million-scale Graphs; Sumaiya Dabeer, Amitabha Bagchi, Rahul Narain

10:00 AM – 10:30 AM, Coffee Break

10:30 AM – 12:30 AM, Session 2

- PDCO-03: KOptim: Kubernetes Optimization Framework
Tarek Menouer, Christophe Cérin, Patrice Darmon

- PDCO-04: Electric Drive Assignment Strategies Optimization for Plugin Hybrid Urban Buses on Tailored Emissions Mapping 
José Miguel Aragón-Jurado, Marina Díaz-Jiménez, Bernabé Dorronsoro, Pablo Pavón-Domínguez, Marcin Seredynski, Patricia Ruiz

- PDCO-07: DUST: Resource-Aware Telemetry Offloading with A Distributed Hardware-Agnostic Approach
Mehrnaz Sharifian, Diman Zad Tootaghaj, Chen-Nee Chuah, Puneet Sharma

- PDCO-08: Understanding Multi-Dimensional Efficiency of Fine-Tuning Large Language Models Using SpeedUp, MemoryUp, and EnergyUp
Dayuan Chen, Noe Soto, Jonas Tuttle, Ziliang Zong

12:30 AM Lunch Break

13:30 PM – 15:30 PM, Session 3

- PDCO-06: Compiler-Driven SWAR Parallelism for High-Performance Bitboard Algorithms
Florian Fey, Sergei Gorlatch

- PDCO-09: Multiobjective based strategy for Neural Architecture Search for segmentation Task
Abass Sana, Kaoutar Senhaji, Amir Nakib

- PDCO-11: A Mathematical Model and a Convergence Result for Totally Asynchronous Federated Learning
Didier El-Baz, Jia Luo, Hao Mo, Lei Shi

- PDCO-10: State-Space Search to find Energy-Aware Pareto-Efficient Optimal Task Schedules
Yasith Udagedara, Andrea Raith, Oliver Sinnen

15:30 PM, Concluding Remarks
Grégoire Danoy, Didier El Baz