NOTE SPECIAL DAY: MONDAY
Monday, August 19, 2013
SPEAKERS: Jinyang Li, New York University
TITLE: Re-designing Distributed Systems for the Era of Fast Data-center Networks
Will the re-design bring significant performance advantages? I will describe an ongoing project at NYU that aims to answer these questions. We have recently built a distributed in-memory key-value store called Pilaf that takes advantage of Remote Direct Memory Access, a form of CPU-bypassing, to achieve high performance with low CPU overhead. Specifically, Pilaf can surpass 1.3 million ops/sec using a single CPU core compared with 55K for Memcached and 59K for Redis.
Her recent projects focus on developing better programming and storage infrastructure to simplify the scaling of applications in the cloud. Her honors include a NSF CAREER award (2007) and a Sloan Research Fellowship (2010). She received her B.S. from National University of Singapore and her Ph.D. from MIT, both in Computer Science.