Byron Hsu
Led Liger Kernel, open-source Triton kernels for memory-efficient LLM training and fine-tuning
Byron (Pin-Lun) Hsu was the project lead for Liger Kernel, an open-source collection of Triton kernels from LinkedIn that lowers GPU memory use and raises throughput when training and fine-tuning language models. The Liger Kernel paper lists Hsu as project lead and credits Hsu with leading, architecting, and implementing multiple kernels, the public interface, and the test suite. Hsu is currently listed as a merge on-call maintainer for prefill-decode disaggregation in SGLang, and Hsu's GitHub profile describes current work on reinforcement-learning systems at Periodic Labs.2451
Work
Liger Kernel
Project lead and first author of the Liger Kernel paper, which credits Hsu with leading, architecting, and implementing multiple kernels, the public interface, and the test suite; the repository's citation also lists Hsu first. The documentation lists integrations with Hugging Face TRL, Axolotl, and LLaMA-Factory.234
SGLang
Listed in the maintenance guide as a merge oncall for prefill-decode disaggregation and in CODEOWNERS as a codeowner of that code.56
Earlier roles
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