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Architectural Evaluation Methodology Guide
isca-experiments
brycewang-stanford/Awesome-Journal-Skills
101
This guide provides rigorous guidelines for structuring and validating experimental results in computer architecture papers. It covers essential aspects like declaring simulation methodology contracts, ensuring result reproducibility through manifest files, selecting representative workloads, and performing detailed attribution and sensitivity analyses to distinguish true architectural gains from modeling artifacts.
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Structuring Related Work For Microarchitecture Papers
micro-related-work
brycewang-stanford/Awesome-Journal-Skills
94
A detailed guide on how to write a rigorous and comparative 'Related Work' section for top-tier microarchitecture conferences (e.g., MICRO). It teaches authors to structure the section as a 'mechanism taxonomy,' differentiating designs based on structural and cost differences rather than merely listing citations. Key areas covered include sweeping academic venues, integrating industry disclosures, and verifying all venue attributions using tools like dblp.
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Mastering Related Work for Graphics Papers
siggraph-related-work
brycewang-stanford/Awesome-Journal-Skills
357
Provides a comprehensive guide on structuring the 'Related Work' section for top-tier computer graphics conferences like SIGGRAPH. It teaches authors how to position a new contribution based on 'capability delta' (what prior methods fail to do) rather than chronology, covering specialized technical lanes (rendering, geometry, AI for graphics) and managing complex academic attribution.
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