Keynote Speakers

John Shalf

Lawrence Berkeley National Laboratory

John Shalf is the Department Head for Computer Science at Lawrence Berkeley National Laboratory. He also formerly served as the Deputy Director for Hardware Technology on the US Department of Energy (DOE)-led Exascale Computing Project (ECP) before he returned to his department head position at LBNL. He has co-authored over 100 peer-reviewed publications in parallel computing software and HPC technology, including the widely cited report “The Landscape of Parallel Computing Research: A View from Berkeley” (with David Patterson and others). He is also the 2024-2027 distinguished lecturer for the IEEE Electronics Packaging Society. Before joining Berkeley Laboratory, John worked at the National Center for Supercomputing Applications and the Max Planck Institute for Gravitation Physics/Albert Einstein Institute (AEI), where he co-created the Cactus Computational Toolkit.

Keynote Title: Investigating Chiplets for Scalable and Cost Effective HPC Beyond Exascale

Abstract: Chiplets have become a compelling approach to scaling and heterogeneous integration e.g. integrating workload-specific processors and massive bandwidth memory systems into computing systems; integrating die from multiple function-optimized process nodes into one product; integrating silicon from multiple businesses into one product. Chiplet-based products have been produced in high volume by multiple companies using proprietary chiplet ecosystems. Recently, the community has proposed several new standards (e.g., UCIe) to facilitate integration and interoperability of any compliant chiplet. Hyperscalers (e.g., Google, Amazon) are actively designing high volume products with chiplets through these open interfaces. Other communities are exploring the end-to-end workflow and tooling to assemble chiplet-based products. High performance computing can benefit from this trend. However, the performance, power, and thermal requirements unique to HPC, present many challenges to realizing a vision for affordable, modular HPC using this new approach.

Giancarlo Guizzardi

University of Twente, The Netherlands

Giancarlo Guizzardi is a Full Professor of Software Science and Evolution as well as Chair and Department Head of Semantics, Cybersecurity & Services (SCS) at the University of Twente, The Netherlands. He is also an Affiliated/Guest Professor at the Department of Computer and Systems Sciences (DSV) at Stockholm University, in Sweden. He has been active for nearly three decades in the areas of Formal and Applied Ontology, Conceptual Modelling, Business Informatics, and Information Systems Engineering, working with a multi-disciplinary approach in Computer Science that aggregates results from Philosophy, Cognitive Science, Logics and Linguistics. Over the years, he has delivered keynote speeches in several key international conferences in these fields. He is currently an associate editor of a number of journals including Applied Ontology and Data & Knowledge Engineering, a co-editor of the Lecture Notes in Business Information Processing series, and a member of several international journal editorial boards. He is also a member of the Advisory Board of the International Association for Ontology and its Applications (IAOA), and fellow of the most important scientific international community in Conceptual Modelling (

Keynote Title: Carving Reality at its Digital Joints

Abstract: We live much of our lives immersed in the world of made-up structures that we call Social Reality. In other words, much of our lives are governed by socially constructed (and, hence, to a certain extent fictional) entities such as money, citizenships, employments, enrolments, marriages, presidential mandates, legal liabilities, stock options and derivative transactions, etc. With the massive advance of information technology, much of social reality is now purely grounded in a world of symbolic manipulation of digital representations. Moreover, much of this digital existence is scattered in several independent information silos that were created in different organizational cultures, through independent engineering processes, in different moments in space and time. Finally, we are more and more delegating decisions that help to create social reality to autonomous artificial systems. This scenario raises several critical questions, for example: how can we create a unified view of social reality by putting together pieces of information that now reside in independent information silos, each of which potentially carving out reality in potentially different ways? How can we build autonomous information systems that we understand and trust, i.e., systems that reflect our values, and that are semantically transparent and able to explain their decisions? In this talk, I intend to argue that modern information systems engineering cannot succeed without the support of the 2400 years-old discipline of Ontology in philosophy, a discipline devoted to the systematic investigation of what exists in a system of representations.