Xiao Zhang
Xiao Zhang received his PhD in Computer Science from University of Rochester in 2010. Before that, he earned BS in Computer Science from University of Science and Technology of China. His research focuses on Operating Systems and Computer Architecture and now he primarily works on systems for accelerating domain specific computing. In addition to that, he also works on power management systems.
Authored Publications
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GASS: GPU Automated Sharing at Scale
Dragos Sbirlea
Jiafan Zhu
Konstantinos Menychtas
Yuang Liu
Zhijing Gene Qin
The IEEE International Conference on Cloud Computing (CLOUD) 2024 (2024)
Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale
Shaohong Li
Sreekumar Kodakara
14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20), {USENIX} Association (2020), pp. 1241-1255
HaPPy: Hyperthread-aware Power Profiling Dynamically
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Yan Zhai
Stephane Eranian
Lingjia Tang
Jason Mars
USENIX Annual Technical Conference 2014
{CPI^2}: {CPU} performance isolation for shared compute clusters
Robert Hagmann
Rohit Jnagal
Vrigo Gokhale
SIGOPS European Conference on Computer Systems (EuroSys), ACM, Prague, Czech Republic (2013), pp. 379-391
Optimizing Google's Warehouse Scale Computers: The NUMA Experience
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Lingjia Tang
Jason Mars
Robert Hagmann
The 19th IEEE International Symposium on High Performance Computer Architecture (2013)
