U-M researchers present three papers at ISCA 2021
Fourteen researchers presented work on accelerating genome sequence alignment, fast multi-GPU systems, and more reliable data center caches.
Precision health in the palm of your hand
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
Das recognized as outstanding researcher for work on computational caches
Computational caches are an emerging technology based on the use of a processors cache space to perform computations.
Three papers chosen as IEEE Micro Top Picks
Top Picks is an annual special edition of IEEE Micro magazine that acknowledges the 10-12 most significant research papers.
Encouraging careers in research
Organizers hoped to equip students with the knowledge and skills they need to successfully apply to a graduate program.
NDSEG Fellowship for overcoming Moore’s Law with innovative architecture
Eckert is working to expand the role of memory and give it a dual responsibility to both store and compute data.
Sloan Fellowship for overcoming Moore’s Law in health and AI
To meet computing demand in a post Moore’s Law future, Das develops new architectures that improve performance by orders of magnitude.
Faster, cheaper gene sequencing to make healthcare more precise
Genome sequencing could be as affordable as a routine medical test with highly efficient computing.
Reetuparna Das earns Borg Early Career Award
Das is passionate about promoting diversity and mentoring women in computer science.
Reetuparna Das inducted into the MICRO Hall of Fame
This honor recognizes outstanding researchers with eight or more papers at the International Symposium on Microarchitecture.
CS kickStart wants first-year women to succeed in computer science
CS KickStart is a free week long summer program for incoming first-year students that aims to improve the enrollment and persistence of women in U-M’s computer science program.
Reetuparna Das receives NSF CAREER Award to develop in-situ compute memories
Das’ research seeks to design specialized data-centric computing systems that dramatically reduce time and energy required to move data from storage to computing units.
Eleven New Faculty Join CSE
We're building a bigger, better CSE.