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Dive into the research topics where Zhao Zhang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Collaborative Research: Frameworks: hpcGPT: Enhancing Computing Center User Support with HPC-enriched Generative AI
Zhang, Z. (PI) & Boyuan@soerutgersedu, B. Y. (CoPI)
8/1/24 → 7/31/27
Project: Research project
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Collaborative Research: Frameworks: hpcGPT: Enhancing Computing Center User Support with HPC-enriched Generative AI
Zhang, Z. (PI) & Boyuan@soerutgersedu, B. Y. (CoPI)
8/1/24 → 7/31/27
Project: Research project
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CAREER: Efficient and Scalable Large Foundational Model Training on Supercomputers for Science
Zhang, Z. (PI)
7/1/24 → 6/30/29
Project: Research project
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CAREER: Efficient and Scalable Large Foundational Model Training on Supercomputers for Science
Zhang, Z. (PI)
7/1/24 → 6/30/29
Project: Research project
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Collaborative Research: Frameworks: Diamond: Democratizing Large Neural Network Model Training for Science
Zhang, Z. (PI)
11/1/23 → 9/30/27
Project: Research project
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Ciri: Scaling-aware job scheduling for small language models on over-committed GPU clusters
Wang, J., Fan, S. & Zhang, Z., Oct 2026, In: Future Generation Computer Systems. 183, 108523.Research output: Contribution to journal › Article › peer-review
Open Access -
Quantifying Performance Variability in GPU Clusters
Mogilevsky, M., Zaky, H., Sun, Y., Zheng, M., Yang, L. & Zhang, Z., 2026, (Accepted/In press) In: IEEE Transactions on Parallel and Distributed Systems.Research output: Contribution to journal › Article › peer-review
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COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers
Sun, B., Liu, W., Pauloski, J. G., Tian, J., Jia, J., Wang, D., Zhang, B., Zheng, M., Di, S., Jin, S., Zhang, Z., Yu, X., Iskra, K. A., Beckman, P., Tan, G. & Tao, D., Feb 28 2025, PPoPP 2025 - Proceedings of the 2025 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming. Association for Computing Machinery, p. 212-224 13 p. (Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access9 Link opens in a new tab Scopus citations -
Diamond: Harnessing GPU Resources for Scientific Deep Learning
Xie, H., Marwaha, R., Mathew, M., Bian, S., Yang, G., Yan, M., Babuji, Y., Price, O., Wang, Y., Kindratenko, V., Venkataraman, S., Chard, K., Foster, I. T. & Zhang, Z., 2025, Proceedings - 2025 IEEE International Conference on e-Science, eScience 2025. Institute of Electrical and Electronics Engineers Inc., p. 196-204 9 p. (Proceedings - 2025 IEEE International Conference on e-Science, eScience 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Efficient Fine-Grained Gpu Performance Modeling for Distributed Deep Learning of Llm
Zhang, B., Zheng, M., Ganguly, D., Zhang, X., Singh, V., Chaudhary, V. & Zhang, Z., 2025, Proceedings - 2025 IEEE 32nd International Conference on High Performance Computing, Data, and Analytics, HiPC 2025. Institute of Electrical and Electronics Engineers Inc., p. 22-32 11 p. (Proceedings - 2025 IEEE 32nd International Conference on High Performance Computing, Data, and Analytics, HiPC 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution