2022

1. NeurIPS-W

   Efficient Variational Gaussian Processes Initialization via Kernel-based Least Squares Fitting

   Xinran Zhu, Jacob R. Gardner, and David Bindel

   In NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, Decision-making Systems 2022

   PDF BibTeX

   @inproceedings{zhu2022efficient,
     title = {Efficient Variational Gaussian Processes Initialization via Kernel-based Least Squares Fitting},
     author = {Zhu, Xinran and Gardner, Jacob R. and Bindel, David},
     booktitle = {NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, Decision-making Systems},
     year = {2022},
     month = dec
   }
   

2. PMBS

   ML-based Performance Portability for Time-Dependent Density Functional Theory in HPC Environments

   Adrian P Dieguez, Min Choi, Xinran Zhu, Bryan M Wong, and Khaled Z Ibrahim

   In 2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS) 2022

   PDF BibTeX

   @inproceedings{dieguez2022ml,
     title = {ML-based Performance Portability for Time-Dependent Density Functional Theory in HPC Environments},
     author = {Dieguez, Adrian P and Choi, Min and Zhu, Xinran and Wong, Bryan M and Ibrahim, Khaled Z},
     booktitle = {2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS)},
     pages = {1--12},
     year = {2022},
     month = nov,
     organization = {IEEE}
   }
   

3. PP

   GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications

   Xinran Zhu, Yang Liu, Pieter Ghysels, David Bindel, and Xiaoye S Li

   In Proceedings of the SIAM Conference on Parallel Processing for Scientific Computing 2022

   PDF BibTeX

   @inproceedings{zhu2022gptuneband,
     title = {GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications},
     author = {Zhu, Xinran and Liu, Yang and Ghysels, Pieter and Bindel, David and Li, Xiaoye S},
     booktitle = {Proceedings of the SIAM Conference on Parallel Processing for Scientific Computing},
     year = {2022},
     month = mar
   }
   

2021

1. NeurIPS

   Scaling Gaussian Processes with Derivative Information Using Variational Inference

   Misha A Padidar, Xinran Zhu, Leo Huang, Jacob R. Gardner, and David Bindel

   In Advances in Neural Information Processing Systems 2021

   PDF BibTeX

   @inproceedings{padidar2021scaling,
     title = {Scaling Gaussian Processes with Derivative Information Using Variational Inference},
     author = {Padidar, Misha A and Zhu, Xinran and Huang, Leo and Gardner, Jacob R. and Bindel, David},
     booktitle = {Advances in Neural Information Processing Systems},
     editor = {Beygelzimer, A. and Dauphin, Y. and Liang, P. and Vaughan, J. Wortman},
     year = {2021},
     url = {https://openreview.net/forum?id=mV4hBipdm5l},
     month = dec
   }
   

2. PPoPP

   GPTune: multitask learning for autotuning exascale applications

   Yang Liu, Wissam M Sid-Lakhdar, Osni Marques, Xinran Zhu, Chang Meng, James W Demmel, and Xiaoye S Li

   In Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming 2021

   PDF BibTeX

   @inproceedings{liu2021gptune,
     title = {GPTune: multitask learning for autotuning exascale applications},
     author = {Liu, Yang and Sid-Lakhdar, Wissam M and Marques, Osni and Zhu, Xinran and Meng, Chang and Demmel, James W and Li, Xiaoye S},
     booktitle = {Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming},
     pages = {234--246},
     year = {2021}
   }