Teal: Learning-Accelerated Optimization of WAN Traffic Engineering

1 code implementation • 25 Oct 2022 • Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T. Chiu, Alexander M. Rush, Minlan Yu

The rapid expansion of global cloud wide-area networks (WANs) has posed a challenge for commercial optimization engines to efficiently solve network traffic engineering (TE) problems at scale.

Multi-agent Reinforcement Learning Reinforcement Learning (RL)

TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches

2 code implementations • 8 Nov 2021 • Aashaka Shah, Vijay Chidambaram, Meghan Cowan, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Jacob Nelson, Olli Saarikivi, Rachee Singh

TACCL uses a novel communication sketch abstraction to get crucial information from the designer to significantly reduce the search space and guide the synthesizer towards better algorithms.