We are honored to announce our Netdev 0x17 keynote speaker, rising
superstar: Manya Ghobadi!
Manya Ghobadi is faculty in the EECS department at MIT. Her research
spans different areas in computer networks, focusing on optical
reconfigurable networks, networks for machine learning, and
high-performance cloud infrastructure. Her work has been recognized by
the ACM-W Rising Star award, Sloan Fellowship in Computer Science, ACM
SIGCOMM Rising Star award, NSF CAREER award, Optica Simmons Memorial
Speakership award, best paper award at the Machine Learning Systems
(MLSys) conference, as well as the best dataset and best paper awards
at the ACM Internet Measurement Conference (IMC). Manya received her
Ph.D. from the University of Toronto and spent a few years at
Microsoft Research and Google before joining MIT.
Manya will be speaking to us about the hot topic of machine learning
workloads and networking.
What makes machine learning workloads challenging?
She will explore three dimensions of designing next-generation
machine learning systems: congestion control, network topology, and
computation frequency.
More details later.
Come, listen, interact and benefit from some wisdom from professor Ghobadi.
cheers,
jamal
