A system designed by Ming Liu, assistant professor of computer science, improves how computers manage powerful GPUs by dynamically sharing and scheduling resources as tasks change. This means AI programs and other heavy-duty applications can run more smoothly and quickly. The technology adapts in real time to make the best use of available GPU power, helping businesses and researchers get more from their hardware. It supports flexible, scalable computing for today’s complex and fast-changing workloads.