2 papers
cs.LG2025
AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training
Zhenyu Han, Ansheng You, Haibo Wang +16
Reinforcement learning (RL) has become a pivotal technology in the post-training phase of large language models (LLMs). Traditional task-colocated RL frameworks suffer from signifi…
cs.PF2024
Automating Energy-Efficient GPU Kernel Generation: A Fast Search-Based Compilation Approach
Yijia Zhang, Zhihong Gou, Shijie Cao +4
Deep Neural Networks (DNNs) have revolutionized various fields, but their deployment on GPUs often leads to significant energy consumption. Unlike existing methods for reducing GPU…