Welcome
Massimo Cafaro
9:30am - 9:45am

Keynote Speech

9:45am - 10:30am

Keynote Presentation
    Dr. Marco Aldinucci, University of Torino
    Title: Decentralized machine learning and the compute continuum

    Abstract: Decentralized machine learning (DML) enables collaborative machine learning without centralized input data. Federated learning (FL) and edge inference (EI) are examples of DML. Collaboration naturally happens at the edge of a distributed system with inherently distributed data. While tools for DML are starting to flourish, much needs to be done to get more flexible and portable tools to experiment with novel techniques, non-fully connected topologies, multiple data domains, and asynchronous collaboration schemes. We'll present recent advances in DML, aiming to improve usability in data centers and, at the edge, to widen the class of models extending FL to non-DDN paradigms, to improve the accuracy of models controlling normalization and frequency of communications, and to boost data privacy through generative adversarial networks.

Bio: Marco Aldinucci is a full professor and P.I. of the Parallel Computing research group at the University of Torino. He received the HPC Advisory Council University Award 2011, the NVidia Research Award 2013, the IBM Faculty Award 2015, and the Autodesk Award 2021. He has participated in over 20 EU-funded research projects on parallel, cloud, and high-performance computing, attracting over 10M€ of research funds to the University of Torino. He has been the Italian delegate on the EuroHPC JU Governing Board (2018-2021). He has led the design of the HPC4AI laboratory and is the founding director of the CINI HPC Key Technologies and Tools national laboratory, gathering researchers from 38 Italian Universities. He is co-leading FureHPC, the technological spoke of the Italian National Centre on HPC (ICSC). He co-designed over ten programming frameworks for parallel and distributed computing.     

Break

10:30am - 11:00am

Technical Sessions (Morning)

Chair: TBA
11:15am - 1:00pm

Parallel and Distributed Frugal Tracking of a Quantile
    M. Cafaro, I. Epicoco, M. Pulimeno

eGossip: Optimizing Resource Utilization in Gossip-Based Clusters through eBPF
    K. Tsai, J. Chou

Lunch

1:00pm - 2:00pm

Technical Sessions (Afternoon)

Chair: TBA
2:30pm - 4:00pm

Defining the Boundaries for Endpoint Congestion Management in Networks for High-Performance Computing
    D. Postigo, D. Herreros, E. Barón, C. Camarero, P. Fuentes

Accelerating Application Bulk Synchronous Writes in HPC Environments
    A. Khan, C. Zimmer, S. Atchley, R. Miller, S. Oral, F. Wang

Flying Base Station Channel Capacity
    S. Chang, K. Park, J. Kim, J. Kim