Spectrum of In-memory Computing

Reetu Das
University of Michigan

Abstract

In-memory computing provides revolutionary changes to computer architecture by fusing memory and computation, allowing data-intensive applications to reduce data movement overheads while increasing compute density. Despite promising results of in-memory computing in each layer of the memory hierarchy, an integrated approach to a system with multiple computable memories has not been examined. This talk will discuss the diverse spectrum of in-memory technologies. Further, we will brainstorm the challenges and opportunities of utilizing this spectrum with an integrated approach.

[Slides]

Bio

Reetu Das is an Associate Professor at the 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 Ph.D. in Computer Science and Engineering from Pennsylvania StateUniversity, University Park. Some of her recent projects include in-memory architectures,  custom computing for precision health and AI, fine-grain heterogeneous core architectures for mobile systems, and low-power scalable interconnects for kilo-core processors. She has authored over 45 papers, filed 7 patents, served on over 30 technical program committees, and served as program co-chair for MICRO-52. She has received two IEEE Top Picks awards, an NSF CAREER award, CRA-W’s Borg Early Career Award, Intel Outstanding Researcher Award, and Sloan Foundation Fellowship. Prof. Das has been inducted into IEEE/ACM MICRO and ISCA Hall of Fame.