Workshops

Wednesday | October 30, 2024 | 10:30 - 17:00

Top Picks recognizes the best of the best in hardware security, spanning the gamut from hardware to microarchitecture to embedded systems. Since it was founded in 2018, we have successfully organized six (6) Top Picks Workshops, all co-located with ICCAD. Top Picks has established itself as a great venue for researchers to share not only their impactful research results, but also their experience in conducting such research.

Thursday | October 31, 2024 | 8:00 - 17:00

The desire for digital sovereignty, exacerbated by global semiconductor shortages and geopolitical interests, has led to numerous worldwide initiatives to strengthen semiconductor technology and manufacturing on national and regional scales. Consequently, the pivotal role of hardware security and trustworthiness in computing systems and supply chains has become paramount.

Hardware security is foundational to the integrity of computing systems. Insecure hardware compromises critical system functionality and poses significant risks to society.

Yet, in recent years, we’ve witnessed a rise in hardware design and implementation vulnerabilities within this evolving landscape. When exploited by unprivileged software, these vulnerabilities can expose sensitive data or compromise entire computing systems. This emerging threat paradigm challenges decades of research in system security, disrupting traditional models that primarily focus on software vulnerabilities and undermining assumptions about hardware trustworthiness.

The workshop aims to unite global researchers and experts from academia, industry, and government to exchange knowledge, explore new ideas, and discuss challenges and research directions. Topics include security-by-design for hardware, scalable assurance methodologies, and security-aware electronic design automation.

Thursday | October 31, 2024 | 8:00 - 17:00

The ICCAD Quantum Computing Applications and Systems (QCAS) Workshop aims to provide a platform for researchers and industry professionals to present and discuss cross-disciplinary research and developments in quantum technologies, with a focus on design automation, computer architecture, and scientific methods. Foster collaboration and networking opportunities among participants from academia and industry to address emerging challenges and explore potential solutions in quantum error correction, quantum algorithms, quantum applications, and quantum control. Facilitate knowledge transfer and technology adoption by showcasing practical applications and case studies in areas such as quantum machine learning, quantum finance, quantum chemistry, and real-world applications in drug discovery and power systems. Promote interdisciplinary interactions and explore the intersection of quantum technologies with machine learning and the sciences, aiming to advance the field of quantum computing and its applications.

Thursday | October 31, 2024 | 8:00 - 17:00

The 2024 ACM/IEEE International Workshop on System-Level Interconnect Pathfinding (SLIP) is the 26th edition of the Workshop. SLIP, co-located with ICCAD 2024, will bring together researchers and practitioners who have a shared interest in the challenges and futures of system-level interconnect, coming from wide-ranging backgrounds that span system, application, design and technology.

Thursday | October 31, 2024 | 8:00 - 12:30

Our proposed workshop aims to explore the innovative synergy between large models and Electronic Design Automation (EDA). With the rapid advancements in artificial intelligence (AI) and EDA, these fields are on a converging path, and this workshop will delve into the mutual benefits they can offer each other. By bringing together researchers, practitioners, and industry experts, we aim to exchange ideas, share practical applications, and discuss the latest advancements. This event will serve as a platform to showcase cutting-edge research, foster collaboration, and drive innovation at the intersection of large models and EDA.

Thursday | October 31, 2024 | 8:00 - 12:30

Modern computing systems are experiencing an unprecedented growth of data to be processed, since, on one hand, these systems are increasingly used to interact with the physical world and, on the other hand, they process large amounts of data samples coming from all the various sensing sources. This leads to computing systems requiring a tremendous amount of energy, at an increasing rate every year. Power and energy, therefore, became critical requirements in the design of computing systems, especially in pervasive embedded and mobile electronic devices. Additionally, computationally intensive
tasks, such as machine-learning applications, have found their way into these power-limited devices, increasing the need for efficient electronics.