McKee received her bachelor’s degree in Computer Science from Yale University, master’s from Princeton University, and doctorate from the University of Virginia. Her dissertation advisor was Bill Wulf, with whom she worked on memory systems architecture. Together they coined the now-common term the “memory wall” to describe a situation in which processors are always waiting on memory, and CPU performance is therefore entirely limited by memory performance.

Before graduate school, McKee worked for Digital Equipment Corporation and Microsoft Corporation. She has also held internships at Digital Equipment Corporation’s Systems Research Center (now HP Labs) and the former AT&T Bell Labs. McKee worked as a Post-Doctoral Research Associate in the University of Virginia Computer Science Department for a year after graduating (waiting for the chip to come back from fab) and as a Computer Architect at Intel’s Microcomputer Research Lab in Oregon for the next two years. During her time at Intel, she also taught at the Oregon Graduate Institute and Reed College. McKee was a Research Assistant Professor at the University of Utah’s School of Computing from 1998 to 2002, where she worked on the Impulse Adaptable Memory Controller project. She joined Cornell University’s Computer Systems Lab within the School of Electrical and Computer Engineering in 2002. She moved to the Department of Computer Science and Engineering at Chalmers University of Technology in 2008, and she became the C. Tycho Howle endowed chair within the Holcombe Department of Electrical and Computer Engineering at Clemson University in 2018. She spent the 2017 calendar year on sabbatical at Rambus Labs in Sunnyvale, CA.

Her research has historically focused mainly on analyzing application memory behavior and designing more efficient memory systems together with the software to exploit them. Achieving this broad objective requires developing new underpinnings for system understanding, and thus she and her students and collaborators have developed new approaches to performance analysis; built scalable tools for application analysis and system modeling; designed architectures to enable more comprehensive system introspection and analyses; designed efficient memory systems for HPC and embedded platforms; and automated memory optimizations for HPC applications.

I am Wen Wang, a final-year Ph.D. student in the Department of Electrical Engineering at Yale University, working with Prof. Jakub Szefer. I am interested in post-quantum cryptography and hardware security. My research focuses on designing secure, flexible and efficient hardware/software architectures for different families of post-quantum cryptography targeting new-generation heterogeneous computing platforms.

Reetu Das is an Assistant Professor at University of Michigan. Prior to this, she was a research scientist at Intel Labs, and the researcher-in-residence for the Center for Future Architectures Research. She received her PhD in Computer Science and Engineering from Pennsylvania State University, University Park. Some of her recent projects include in-memory architectures, fine-grain heterogeneous core architectures for mobile systems, and low-power scalable interconnects for kilo-core processors. Her research program has been funded by National Science Foundation, the Center for Future Architectures Research (C-FAR), Semiconductor Research Corporation and Intel Corporation. Reetu is an expert in computer architecture. She has authored over 45 papers, filed 7 patents and served on over 20 technical program committees. She has served as a track chair for Design Automation Conference for two consecutive years. Her research has been recognized by several awards. She has received outstanding research and teaching assistantship awards at Pennsylvania State University, an IEEE Top Picks award, an NSF CAREER award, CRA-W Borg Early Career Award, IEEE/ACM MICRO Hall of Fame award and was recently inducted to ISCA Hall of Fame. Her recent work on in-memory design named Compute Caches received the best Demo award in C-FAR and was selected from 50 projects from leading University research groups. She also serves as the CEO of a precision medicine start-up, Sequal Inc.

My research interests lie in field-programmable technology and electronic design automation, with increasing focus on the hardware security vulnerabilities of today’s heterogeneous and intelligent computing systems.