Optimizing Memory-Access Patterns for Deep Learning Accelerators

1 code implementation • 27 Feb 2020 • Hongbin Zheng, Sejong Oh, Huiqing Wang, Preston Briggs, Jiading Gai, Animesh Jain, Yizhi Liu, Rich Heaton, Randy Huang, Yida Wang

Deep learning (DL) workloads are moving towards accelerators for faster processing and lower cost.

Target-independent XLA optimization using Reinforcement Learning

no code implementations • 28 Aug 2023 • Milan Ganai, Haichen Li, Theodore Enns, Yida Wang, Randy Huang

We also propose enhancements to the deep RL algorithms to further improve optimal search performance and open the research direction for domain-specific guidance for RL.

Compiler Optimization reinforcement-learning +1