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Wei Zhao I'm a performance engineer at Cerebras Systems, where I work on optimizing the performance and efficiency of the Cerebras Wafer-Scale Engine for large language model (LLM) inference. I earned my Master's degree in Computer Science from Stanford University. Before that, I received my bachelor's degree in Computer Science from the University of Toronto, where I was advised by Prof. Gennady Pekhimenko. My interest lies in building system solutions to address computational challenges in science and engineering. In the past, I’ve worked on LLM inference, GPU sharing, and stream processing systems. Email / Google Scholar / LinkedIn / Github |
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Research |
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Tally: Non-Intrusive Performance Isolation for Concurrent Deep Learning Workloads
Wei Zhao, Anand Jayarajan, Gennady Pekhimenko ASPLOS 2025 (Distinguished Artifact Award) paper / code |
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Seesaw: High-throughput LLM Inference via Model Re-sharding
Qidong Su, Wei Zhao, Xin Li, Muralidhar Andoorveedu, Chenhao Jiang, Zhanda Zhu, Kevin Song, Christina Giannoula, Gennady Pekhimenko MLSys 2025 (Outstanding Paper Honorable Mention) paper / code |
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TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization
Anand Jayarajan, Wei Zhao, Yudi Sun, Gennady Pekhimenko ASPLOS 2023 (Distinguished Artifact Award) paper / code |
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Website template from Jon Barron. |