SymbioticLab

University of Michigan

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SymbioticLab focuses on large-scale data systems that can yield order-of-magnitude performance and efficiency improvements. We tailor existing Big Data and AI/ML applications and design new ones to best leverage their underlying infrastructure. This boils down to three operating regimes: single-microsecond latency within a rack, single-millisecond latency within a datacenter, and hundreds-of-milliseconds latency across the world.

Overview

Join SymbioticLab to work on first-of-its-kind projects made possible by the SymbioticLab cluster!

Learn about openings in ongoing projects if you’re already in Michigan.

News

2017-12-02
Infiniswap in USENIX ;login: and Elsewhere
2017-05-24
Infiniswap Released on GitHub
2017-05-10
Hermes Accepted to Appear at SIGCOMM'2017
2017-05-04
FaiRDMA Accepted to Appear at KBNets'2017. Congrats Yiwen and Juncheng!
2017-04-25
"No! Not Another Deep Learning Framework" to Appear at HotOS'2017. Congrats Peifeng!
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