Spectrum of In-memory Computing
University of Michigan
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.
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.