From a98b44306d88e02aa9e0452d79079283e2afa250 Mon Sep 17 00:00:00 2001 From: Shreyas Grampurohit Date: Thu, 5 Oct 2023 20:57:09 +0530 Subject: [PATCH] proxy-model gif --- docs/source/intro.rst | 11 ++++++++--- docs/source/proxy-model.gif | Bin 0 -> 855523 bytes 2 files changed, 8 insertions(+), 3 deletions(-) create mode 100644 docs/source/proxy-model.gif diff --git a/docs/source/intro.rst b/docs/source/intro.rst index 0ec169b8..285a562b 100644 --- a/docs/source/intro.rst +++ b/docs/source/intro.rst @@ -1,17 +1,22 @@ Introduction ============ +.. image:: ArchGym-animation.gif + :width: 100% + :align: center + We introduce ArchGym, an open-source gymnasium and easy-to-extend framework that connects a diverse range of search algorithms to architecture simulators. The results suggest that with an unlimited number of samples, ML algorithms are equally favorable to meet the user-defined target specification if its hyperparameters are tuned thoroughly; no one solution is necessarily better than another. We show how using a same structure of code for different algirthms, we can train the agent to generate optimal parameters just by varying the name of the algorithm. ArchGym is a systematic and standardized framework for ML-driven research tackling architectural design space exploration. ArchGym currently supports (six) different ML-based search algorithms and three unique architecture simulators. -.. image:: ArchGym-animation.gif +ML Proxy Pipeline +----------------- + +.. image:: proxy-model.gif :width: 100% :align: center -ML Proxy Pipeline ------------------ Architecture simulators are slow to generate data, and thus, we can use ML proxy models to speed up the process. By utilizing an accurate and high-speed proxy model, we can augment conventional slower architectural simulators while retaining their original interfaces. 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