Grants & Projects per year
Personal profile
Research interests
- Performance optimization on HPC and AI/DL applications
- Parallel computing on various architectures
- Heterogeneous computing and memory systems
- Scientific machine learning
Biography
Xie joined the School of Computing as an assistant professor in August 2023. His research emphasizes on high-performance computing (HPC) with a focus on the interaction between machine learning algorithms and system-level performance optimization.
His work has been published in multiple top-tier conferences and journals, including PPoPP, SC, ICS, EuroSys, Euro-Par, TPDS, and TACO, and he has received ACM Gordon Bell Special Prize in 2022. He received his PhD from the Chinese Academy of Sciences.
Resources
Education/Academic qualification
Bachelor, Wuhan University of Technology
PhD, Chinese Academy of Sciences
ASJC Scopus Subject Areas
- General Computer Science
Researcher Selected Keywords
- High-Performance Computing (HPC)
- Machine Learning (ML) & AI
- Scientific Machine Learning
- Heterogeneous Computing
Fingerprint
Dive into the research topics where Zhen Xie is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Grants & Projects
- 1 Finished
-
Technical Support on HEVI-LOAD Augmentation for National-Scale Infrastructure Assessment
Xie, Z. (PI)
Lawrence Berkeley National Laboratory
03/11/25 → 10/31/25
Project: Research
-
Cherry: Breaking the GPU Memory Wall for Large-Scale GNN Training via Micro-Batching
Wang, Y., Guo, Q., Kong, H., Sheng, K., Xie, Z., Chen, H., Jia, W., Tao, D. & He, X., Aug 22 2025, ACM ICS 2025 - Proceedings of the 39th ACM International Conference on Supercomputing. Association for Computing Machinery, p. 88-103 16 p. (Proceedings of the International Conference on Supercomputing; vol. Part of 213821).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Scopus citations -
Centimani: Enabling Fast AI Accelerator Selection for DNN Training with a Novel Performance Predictor
Xie, Z., Emani, M., Yu, X., Tao, D., He, X., Su, P., Zhou, K. & Vishwanath, V., 2024, Proceedings of the 2024 USENIX Annual Technical Conference, ATC 2024. USENIX Association, p. 1203-1221 19 p. (Proceedings of the 2024 USENIX Annual Technical Conference, ATC 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2
Song, S., Huang, Y., Jiang, P., Yu, X., Zheng, W., Di, S., Cao, Q., Feng, Y., Xie, Z. & Cappello, F., Jun 3 2024, HPDC 2024 - Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing. Association for Computing Machinery, Inc, p. 309-321 13 p. (HPDC 2024 - Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access15 Scopus citations -
Thorough characterization and analysis of large transformer model training at-scale
Cheng, S., Lin, J. L., Emani, M., Raskar, S., Foreman, S., Xie, Z., Vishwanath, V. & Kandemir, M. T., Feb 21 2024, In: Proceedings of the ACM on Measurement and Analysis of Computing Systems. 8, 1, 8.Research output: Contribution to journal › Article › peer-review
10 Scopus citations -
Thorough Characterization and Analysis of Large Transformer Model Training At-Scale
Cheng, S., Lin, J. L., Emani, M., Raskar, S., Foreman, S., Xie, Z., Vishwanath, V. & Kandemir, M. T., Jun 10 2024, In: Performance Evaluation Review. 52, 1, p. 39-40 2 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations