A deep learning framework that enables end-to-end simulation of DL models on custom SoCs with a variety of hardware accelerators. SMAUG is designed to enable DNN researchers to rapidly evaluate different accelerator and SoC designs and perform hardware-software co-design. Simulation is powered by the gem5-Aladdin SoC simulator, allowing users to easily write new hardware accelerators and integrate them into SMAUG for testing and exploration. Smaug code available on GitHub.