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Computer Architecture, ETH Zürich, Fall 2021 () 00:00 Lecture 15a: Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning 49:58 Lecture 15b: Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks 1:40:00 Lecture 15c: CODIC: A Low-Cost Substrate for Enabling Custom In-DRAM Functionalities and Optimizations Lecturer: Professor Onur Mutlu () Presenters: Rahul Bera, Geraldo F. de Oliveira Jr., Lois Orosa, Ataberk Olgun Date: November 12, 2021 Lecture 15a Slides (pptx): Lecture 15a Slides (pdf): Lecture 15a Paper (pdf):
