DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads

no code implementations • 7 Dec 2022 • Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra

Such dynamic behaviors introduce new challenges to the system software in an ML system since the overall system load is not completely predictable, unlike traditional ML workloads.

Scheduling

XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse

no code implementations • 16 Nov 2022 • Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi

We hope that our work will stimulate research and lead to the development of a new generation of ML systems for XR use cases.