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3rd Intel4EC workshop 2025 is co-located with 39th IEEE IPDPS 2025 to be held at Milan, Italy between June 3-7, 2025.
3rd Intel4EC workshop 2025 is co-located with 39th IEEE IPDPS 2025 to be held at Milan, Italy between June 3-7, 2025.
Submission Deadline: 8th Feb 2025 AoE (Extended, FIRM) | Notification: 5th March 2025 AoE. New: Workshop Program Available
Keynote Speakers
Keynote Speakers
The third edition of Intel4EC 2025 workshop will feature following keynote presentations. Return here for details.
Title: Jet, Set, Go. Experiences with Optimizing AI for Edge Accelerators and Cloud
Abstract: Edge accelerators have exponentially grown in their compute capabilities, forming a first-class computing fabric that extend to the cloud as well. This is of particular interest given the growing use of ML workloads for IoT data generated in the field. In this talk, we will examine the opportunities and challenges of modelling and optimizing edge accelerator platforms such as Nvidia Jetsons for ML workloads. It will explore our experiences with both single edge devices with heterogeneous accelerators, and distributed clusters of edge devices and cloud, to support diverse workloads from UAVs to federated learning. We will examine methods that help enhance performance metrics such as training throughput, inference latency and energy efficiency under constrained conditions. We will also discuss future research challenges of edge and cloud resources in the LLM era with agentic AI.
Biography: Yogesh Simmhan is an Associate Professor in the Department of Computational and Data Sciences at the Indian Institute of Science, Bangalore. His research explores scalable software platforms, algorithms and applications on distributed systems. These span Cloud and Edge Computing, Temporal Graph Processing, and Scalable Machine Learning to support emerging data-driven applications. He has published over 100 peer-reviewed papers, and won the Best Paper Award at IEEE CLOUD 2019, IEEE TCSC SCALE Challenge Award in 2019 and 2012, the Distinguished Paper award at EuroPar 2018, and the IEEE/ACM HPC Storage Challenge Award at SC 2008. He is the recipient of the Swarna Jayanti Fellowship in 2019 and IEEE TCSC Award for Excellence in Scalable Computing (Mid-career) in 2020. He is an Associate Editor of Future Generation Computing System (FGCS), and earlier served as Associate Editor-in-Chief of the Journal of Parallel and Distributed Systems (JPDC) and Associate Editor of IEEE Transactions on Cloud Computing. Yogesh has a Ph.D. in Computer Science from Indiana University, Bloomington, and was previously a Research Assistant Professor at the University of Southern California (USC), Los Angeles, and a Postdoc at Microsoft Research, San Francisco. He is a Distinguished Member of ACM and a Distinguished Contributor of the IEEE Computer Society.
Title: Trustworthy Quality Critical Distributed Computing
Abstract: Edge Quality-critical computing is essential for a range of data and AI-driven industrial innovations, such as smart cities, digital twins, and early warning systems. It is pivotal in executing machine learning inferences, performing simulations, and enabling real-time data processing within interconnected environments. However, developing and operating quality-critical applications pose numerous challenges and can be particularly time-consuming, especially in environments involving federations of multiple providers, where service-level agreements are not always reliable. In this talk, we will explore innovative models for quality-critical programming, scheduling, and adaptation as part of a comprehensive solution encompassing various service layers throughout the development and operational lifecycle (DevOps). The proposed solution is designed with varying assumptions concerning the trustworthiness of infrastructure providers. It will be illustrated through examples from Digital Twin technology, environmental and earth sciences, and medical imaging.
Biography: Dr. Zhiming Zhao is an Associate Professor and the Chair of the Multiscale Networked Systems (MNS) research group at the Informatics Institute of the University of Amsterdam (UvA). He leads the technical development of the Virtual Lab & Innovation Center (VLIC) within the European Research Infrastructure LifeWatch. His research is dedicated to creating innovative programming and control models for quality-critical systems on programmable infrastructures, including Clouds, Edges, and Software-Defined Networking. Supported by various EU and Dutch projects, his research team develops Digital Twinning solutions, Virtual Research Environments, and cloud automation tools to tackle data and computational challenges in industrial innovation and big data infrastructures. He is a Senior Member of the IEEE and serves as the Managing Editor of the Journal of Cloud Computing.
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