02444nam a22001337a 4500 68371 68368 Anjum Usman 21-MCSE-05 Supervisor - Prof.Dr. Ubedullah Rajput Quality Estimation of Approximate Computing Using Machine Learning (MS Thesis) Nawabshah QUEST 2024 90p. ABSTRACT This thesis focuses on approximate computing, a strategy to balance performance and energy efficiency by trading a slight loss of accuracy for significant speed and power gains. However, ensuring acceptable result quality remains a challenge. The study introduces a novel approach that utilizes machine learning to predict the quality of approximate computations. The goal is to create a robust framework that helps designers make informed decisions between accuracy and efficiency. A comprehensive dataset is compiled, containing diverse approximate computing instances with quality metrics. Various features from the dataset, including computation traits and error rates, are used as inputs for machine learning models. After rigorous exploration of machine learning algorithms, a refined model that demonstrates strong predictive performance across various inaccurate computing scenarios is selected. In order to enhance the capacity to forecast outcomes in approximate computing more precisely, this research applies transfer learning techniques. Pretrained models are more accurate than the originally trained model when they are adjusted using specific, imperfect computational input. The framework consistently produces correct quality estimates for a variety of computations and has undergone extensive validation through a battery of tests. It aids in the decision-making process for highly effective and energy-efficient system designers. The framework's flexibility and generalizability are validated by empirical evaluation of real-world applications. In order to assess approximation accuracy, a unique machine-learning process is proposed in this study. It illustrates how effective transfer learning is in this situation. This approach helps designers to effectively control the trade-off between accuracy and efficiency in the rapidly developing field of approximation computing, which is becoming more and more crucial as the need for efficient computing systems grows. xii Department of Computer Systems Engineering https://tinyurl.com/5n8bfkbs THESIS 0 0 0 0 RESEARCH RESEARCH 2024-05-27 0 MP/89-1286 2024-05-27 00:00:00 2024-05-27 THESIS 0 0 0 0 RESEARCH RESEARCH 2024-05-27 0 MP/89-1287 2024-05-27 00:00:00 2024-05-27 THESIS 0 0 0 0 RESEARCH RESEARCH 2024-05-27 0 MP/89-1288 2024-05-27 00:00:00 2024-05-27 THESIS 0 0 0 0 RESEARCH RESEARCH 2024-07-26 0 MP/91-1319 2024-07-26 00:00:00 2024-07-26 THESIS