Regular biography
Natalie Enright Jerger is a Professor in the Department of Electrical & Computer Engineering at the University of Toronto. She received her B.S. degree in Computer Engineering from Purdue University in 2002, and her M.S. and Ph.D. degrees in Electrical Engineering from the University of Wisconsin-Madison in 2004 and 2008, respectively. During her Ph.D. studies, she spent time at Intel and IBM. She joined the ECE Department at the University of Toronto in 2009, was promoted to Associate Professor in 2014, and to Full Professor in 2017. Her research interests include computer architecture, with a focus on interconnection networks, approximate computing, cache coherence protocols, memory hierarchies, and sustainable computing systems. She has served as program chair for the International Symposium on High Performance Computer Architecture (2014) and program co-chair for the International Conference on Architectural Support for Programming Languages and Operating Systems (2023). She is also actively involved in improving diversity and inclusion within the computer architecture community.
Scholar-generated biography
Natalie Enright Jerger is a researcher in Computer Architecture and Interconnection Networks. Her work focuses on the design and optimization of on-chip networks, particularly in the context of multi-core processors and chiplet-based systems. She has explored routing algorithms, such as DBAR and Scarab, to support efficient and adaptive communication in networks-on-chip. Her research also addresses challenges in memory controllers, coherence protocols, and power efficiency in many-core systems. Jerger has contributed to the development of reduced-precision strategies for deep neural networks and has investigated circuit-switched coherence and interposer-based architectures. Her publications highlight the importance of scalable, predictable, and energy-efficient interconnect solutions for modern computing systems.