The UTNS research group at the University of Texas at Austin works on foundational systems and networking problems that arise in supporting big data analytics, distributed machine learning, and large-scale distributed applications. Our work explores both theoretical underpinnings and system design/implementation, and builds on ideas from adjacent areas such as game theory, optimization, and formal methods.
News
The Transcraft project, which focuses on developing an end-to-end framework for the design and implementation of network transport stacks, has won an NSF Award!
The Learning Directed Operating System (LDOS) team has been awarded an NSF Expeditions Award!
Jiaxin Lin won 2023 Google PhD Fellowship!
Darwin and Slingshot got accepted at SIGCOMM 2023!
Better Together and Shockwave got accepted at NSDI 2023!
Network Traffic Characteristics of Data Centers in the Wild (IMC, 2010) received SIGCOMM Test-of-Time Award!
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs got accepted at HOT-I 2022!
Medes and Jiffy got accepted at EuroSys 2022!
The Learning Directed Operating System (LDOS) team has been awarded an NSF Expeditions Award!
Jiaxin Lin won 2023 Google PhD Fellowship!
Darwin and Slingshot got accepted at SIGCOMM 2023!
Better Together and Shockwave got accepted at NSDI 2023!
Network Traffic Characteristics of Data Centers in the Wild (IMC, 2010) received SIGCOMM Test-of-Time Award!
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs got accepted at HOT-I 2022!
Medes and Jiffy got accepted at EuroSys 2022!