ForgetMeNot: Understanding and Modeling the Impact of Forever Chemicals Toward Sustainable Large-Scale Computing
Rohan Basu Roy, Raghavendra Kanakagiri, Yankai Jiang, Devesh Tiwari

TL;DR
ForgetMeNot is a modeling tool that quantifies and helps reduce the emissions of harmful forever chemicals in semiconductor manufacturing, promoting sustainability in large-scale computing.
Contribution
It introduces a novel modeling approach that integrates fabrication practices and hardware specs to estimate fluorinated compound emissions accurately.
Findings
ForgetMeNot accurately models emissions using real-world data.
Hardware choices significantly impact fluorinated chemical emissions.
Application to CPU, DRAM, and storage manufacturing reveals emission patterns.
Abstract
Fluorinated compounds, often referred to as forever chemicals, are critical in various steps of semiconductor fabrication like lithography, etching, chamber cleaning, and others. Forever chemical emissions can exhibit global warming potentials thousands of times greater than carbon dioxide and persist in the atmosphere for millennia. Despite their severe impact, most sustainability works in computer systems have focused on carbon emissions alone. We address this gap by introducing ForgetMeNot, a modeling tool that quantifies fluorinated compound emissions by integrating fabrication facility-specific practices and hardware specifications, and validate its accuracy using real-world emission data from fabrication facilities. We show how ForgetMeNot can enable fabrication facilities to optimize design and material usage decisions for emission reduction and provide researchers with a…
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