172 citations · 195 across the 7 of their papers we have counts for
8 papers
ASAP: an Agentic Solution to Auto-optimize Performance of Large-Scale LLM Training
Yuran Ding, Xinwei Chen, Xiaofan Zhang +1
Optimizing large-language model (LLM) training on distributed domain-specific accelerator systems presents significant challenges due to its complex optimization space. Existing op…
To Start Up a Start-UpEmbedding Strategic Demand Development in Operational On-Demand Fulfillment via Reinforcement Learning with Information Shaping
Xinwei Chen, Marlin W. Ulmer, Barrett W. Thomas
The last few years have witnessed rapid growth in the on-demand delivery market, with many start-ups entering the field. However, not all of these start-ups have succeeded due to v…
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark
Sharada Mohanty, Jyotish Poonganam, Adrien Gaidon +20
The NeurIPS 2020 Procgen Competition was designed as a centralized benchmark with clearly defined tasks for measuring Sample Efficiency and Generalization in Reinforcement Learning…
Same-Day Delivery with Fairness
Xinwei Chen, Tong Wang, Barrett W. Thomas +1
The demand for same-day delivery (SDD) has increased rapidly in the last few years and has particularly boomed during the COVID-19 pandemic. The fast growth is not without its chal…
Deep Q-Learning for Same-Day Delivery with Vehicles and Drones
Xinwei Chen, Marlin W. Ulmer, Barrett W. Thomas
In this paper, we consider same-day delivery with vehicles and drones. Customers make delivery requests over the course of the day, and the dispatcher dynamically dispatches vehicl…
Power Regulation in High Performance Multicore Processors
X. Chen, Y. Wardi, S. Yalamanchili
This paper presents, implements, and evaluates a power-regulation technique for multicore processors, based on an integral controller with adjustable gain. The gain is designed for…