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SST

Structural Simulation Toolkit (SST)

This is a fork from the official SST Github page with implementations maintained by SPEAR group at IIT.

Visit sst-simulator.org to learn more about SST.

Q-adaptive routing

The current master branch has the implementation of Q-adatpive routing in Merlin Dragonfly topology.

Note: if you use this SST implementation, please cite the following papers:

Yao Kang, Xin Wang, and Zhiling Lan. "Q-adaptive: A Multi-Agent Reinforcement Learning Based Routing on Dragonfly Network". In Proceedings of the 30th International Symposium on High-Performance Parallel and Distributed Computing (HPDC ’21).

Installation

Clone sst-core and sst-elements from this repository. Use other SST versions may cause compatible issue.

Follow installation guide to install SST.

Run a test

mpirun -np 4 sst sst-elements/tests/dragonfly_q-adaptive.py
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