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Accelerating Computer Architecture Simulation through Machine Learning
March 1, 2024, 5:43 a.m. | Wajid Ali, Ayaz Akram
cs.LG updates on arXiv.org arxiv.org
Abstract: This paper presents our approach to accelerate computer architecture simulation by leveraging machine learning techniques. Traditional computer architecture simulations are time-consuming, making it challenging to explore different design choices efficiently. Our proposed model utilizes a combination of application features and micro-architectural features to predict the performance of an application. These features are derived from simulations of a small portion of the application. We demonstrate the effectiveness of our approach by building and evaluating a machine …
abstract application architecture arxiv combination computer computer architecture cs.ar cs.lg design explore features machine machine learning machine learning techniques making micro paper performance simulation simulations through type
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