Yijia Zhang

Orcid: 0000-0001-6925-7777

Affiliations:
  • Boston University, Department of Electrical and Computer Engineering, MA, USA


According to our database1, Yijia Zhang authored at least 13 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2022
HPC Data Center Participation in Demand Response: An Adaptive Policy With QoS Assurance.
IEEE Trans. Sustain. Comput., 2022

2021
Intelligent middleware for HPC systems to improve performance and energy cost efficiency
PhD thesis, 2021

Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems.
Proceedings of the High Performance Computing - 36th International Conference, 2021

Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

A Data Center Demand Response Policy for Real-World Workload Scenarios in HPC.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
Quantifying the impact of network congestion on application performance and network metrics.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019
Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning.
IEEE Trans. Parallel Distributed Syst., 2019

EnergyQARE: QoS-Aware Data Center Participation in Smart Grid Regulation Service Reserve Provision.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2019

HPAS: An HPC Performance Anomaly Suite for Reproducing Performance Variations.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Data Center Participation in Demand Response Programs with Quality-of-Service Guarantees.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018
Level-Spread: A New Job Allocation Policy for Dragonfly Networks.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2017
Diagnosing Performance Variations in HPC Applications Using Machine Learning.
Proceedings of the High Performance Computing - 32nd International Conference, 2017

An empirical survey of performance and energy efficiency variation on Intel processors.
Proceedings of the 5th International Workshop on Energy Efficient Supercomputing, 2017


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