ElasticRoom: Multi-Tenant DNN Inference Engine via Co-design with Resource-constrained Compilation and Strong Priority Scheduling

GPU partition mechanisms in run-time software have been widely used in job scheduler and multi-tenant computing system to improve resource utilization and throughput. The latency requirements of different DNN requests, such as real-time and best-effort requests, often exhibit variations in computational systems that handle batch tasks for DNN inference. However, the existing GPU partition mechanisms and state-of-the-art scheduling approaches face challenges in effectively promising both high throughput and low latency for real-time requests. The current limitation lies in the inability of existing GPU partition mechanisms to enhance GPU resource utilization and ensure job priority simultaneously.