Dr. Conrad R. Guhl studied Materials Science at Friedrich Schiller University Jena (2009–2015), focusing on metallic materials. He then pursued a Ph.D. at Technische Universität Darmstadt (2015–2018), specializing in XPS analysis of battery cathode materials. From 2019 to 2023, he worked as a scientist for Chemical Mechanical Polishing at Fraunhofer IPMS, focusing on design process interactions. Since 2024, he has led the Interconnect Technologies group and serves as a work package leader in the "Advanced Packaging and Heterogeneous Integration for Electronic Components and Systems" project.
Title:
A brief overview of Advanced Packaging Technologies – how to combine different functionalities in one device
Abstract:
The Tutorial provides an overview of advanced packaging technologies, emphasizing their significance in integrating diverse functionalities within a single device. It begins with an exploration of the essential roles of packaging, which serves as a connection and protective barrier to the external environment, while also addressing spatial requirements for interconnections. Further focus is package scaling, highlighting the need for increased input/output (I/O) counts, reduced interconnect sizes, and the advantages of novel interconnect technologies and 3D packaging.
A brief technological view examines bonding techniques starting with the evolution of wire bonding, micro bumps for flip chip, and hybrid bonding. Emphasis is given on process interdependencies such as thermal management and planarity. Finally, the presentation outlines the myriad options enabled by advanced packaging technologies, such as the ability to integrate multiple functions into one package, leverage different technologies for optimal performance, utilize smaller chiplets for enhanced yield, and combine novel computing methods like quantum computing with established technologies.
Dwaipayan Biswas received the M.Sc. degree in SoC design and the Ph.D. degree in electrical engineering from University of Southampton (UoS), Southampton, U.K., in 2011 and 2015, respectively. From 2015 to 2016, he was a Postdoctoral Research Fellow with UoS. In 2016, he joined IMEC, as a digital IC designer for biomedical applications. Currently he manages a team of 15 researchers, responsible for the System Technology Co-optimization (STCO) program at IMEC, Leuven, Belgium. His current research focusses on exploring the interception of advanced semiconductor technology on future compute system challenges, driving the memory sub-system roadmap.
Title:
Driving the More than Moore Era
Abstract:
In the ever-evolving technology landscape, the advent of denser technologies has become a catalyst for unprecedented
innovation. Technology scaling enable higher compute density, memory density/bandwidth and hence is a key factor towards scalable
system architecture design. In the more than Moore era, system-technology co-optimization (STCO) is a promising paradigm for
leveraging the synergy between emerging technology and application-driven architectures to achieve higher efficiency and performance
at cost parity. As artificial Intelligence (AI) and Machine Learning (ML), continue to advance and become more integrated into various
industries, there is a growing need for joint optimization across the stack – workloads-architecture-design and technology. In this talk,
we will discuss scaling bottlenecks in four system domains – Mobile; Cloud CPU servers; Datacenter GPUs; Edge Inference accelerators
and the role of emerging technology to mitigate these bottlenecks. 3D Technology offers great opportunities to unlock CMOS scaling –
new device architectures, BEOL boosters, backside technology, functional partitioning and heterogeneous integration, all of which will
play a key role in next generation system architectures. Through system disaggregation, technology specialization and deep scaled
assembly methods, the CMOS2.0 era will be instrumental in the future of dimensional scaling.
Salvatore Levantino is Professor of Electronics at the Politecnico di Milano, Milan, Italy, where he teaches the course of Radio Frequency Circuit Design. He is a co-author of the textbook Integrated Frequency Synthesizers for Wireless Systems (Cambridge University Press, 2007).
Title:
Phase Locked Loops
Abstract:
Phase locked loops (PLLs) are among the most critical blocks in wireless and wireline applications, and are also used to generate low-jitter clocks for digital processing applications. This tutorial starts with the basics of classic analog PLLs and then moves on to recent architectural innovations that have reduced the RMS integrated jitter of multi-GHz PLLs in modern CMOS technologies to less than 100 fs.
Dr. Joerg Winkler is a Fellow Design Engineer at GLOBALFOUNDRIES. In this role, he focuses on digital design developments and SoC architecture solutions in the area of design-technology co-optimization for leading edge technology nodes. Dr. Winkler has worked in semiconductor digital design for the past 27 years, most of that time with AMD and GLOBALFOUNDRIES. With AMD he was chip architect in the areas of communications, x86 chipsets, and AMD’s x86 Fusion APU’s. He began his career with the Fraunhofer Institute of Microelectronic Systems in Dresden, Germany. Dr. Winkler holds graduate and doctoral degrees from Technical University Dresden.
Title:
Adaptive Body Biasing - Additional SoC PPA Optimizations in GlobalFoundries 22FDX Technology
Abstract:
GlobalFoundries 22FDX is a fully depleted silicon on insulator (FDSOI) technology. 22FDX FET devices realize
ultra-thin silicon channel structures in conjunction with thin buried oxide. The well (i.e., body) below the buried
oxide is electrically isolated from the channel and can be used to tune the effective threshold voltage of the FET
devices by applying body bias voltages. 22FDX realizes two distinct well architectures; flip-well architecture in
support of Forward Body Biasing, and conventional well architecture in support of Reverse Body Biasing.
GlobalFoundries has collaborated with IP partners in developing the industry’s first complete ecosystem to
enable the application of body biasing for customer SoC products. Specifically, IP solutions for Adaptive Body
Biasing are able to reduce the impact of process, voltage, and temperature variation at digital circuit behavior
and thus to further improve the power, performance, and area (PPA) metrics of digital SoC designs. This tutorial
outlines the development of Adaptive Body Bias solutions, based on specific characteristics of 22FDX FET
devices, its design platform enablement covering foundational IP characterization, SoC sign-off methodology,
and PPA optimization strategies. The tutorial concludes with PPA optimization examples of SoC cores.
Dr. Mona Ezzadeen is a research engineer at the French Atomic Energy Commission (CEA). She earned her master's degree in Microelectronics from the Grenoble Institute of Technology in 2019 and completed her doctoral thesis in 2022 in collaboration with Aix-Marseille University, where her doctoral thesis earned the Best Thesis Award. Her research focuses on designing low-power hardware for edge AI applications. Her work explores integrated systems that combine storage and processing, opening new avenues for next-generation computing solutions.
Title:
AI at the edge: Resistive in-memory computing circuits for efficient processing
Abstract:
As the Internet of Things and AI continue to expand, the growing flow of data calls for more energy-efficient computing systems. In this landscape, in/near-memory computing (I/NMC) —where computations occur directly in or near memory— shows great promise. Moreover, with AI’s growing need for vast data processing, the use of non-volatile memories for both storage and computation is becoming crucial.
This tutorial explores recent advances in resistive memory-based I/NMC technology, focusing on innovative circuits and experimental findings that boost performance while lowering power consumption, paving the way for sustainable edge computing systems.
Maurizio Galvano graduated cum laude in electronic engineering from the University of Palermo, Italy, in 1998. From 1998 to 2000, he was working for ST microelectronic in Catania as RF Analog Designer. He is currently working for Infineon Technologies Italy, in automotive IC concept and design with focus on emerging LED driver applications. At Infineon he is a Lead Principal Expert in the field of analog and mixed signal design and leads a team of Concept Engineers with more than 30 LED driver ICs designed for automotive rear, interior and front light applications. He has more than 40 granted patents in U.S. and EU and several IEEE publications in the field of Led Driver.
Title:
The Evolution of Automotive Lightning for Future Mobility
Abstract:
The automotive industry has been rapidly evolving in recent years, driven by technological advancements that make our cars clean, safe and smart. The use of LED lighting in vehicles has emerged as a key innovation with widespread adoption, driving further innovation in future mobility. Automotive LED lighting systems offer improved safety, enhanced design capabilities, and increased energy efficiency, from exterior to interior lighting. The convergence of LEDs and connectivity is driving a new wave of innovation in the lighting world, and the automotive industry is at the forefront of this change.
In this tutorial, we'll explore the latest trends, technologies, and solutions that are shaping the future of automotive lighting innovation, with a focus on LED driver development and design challenges.