Skill UI

This guide outlines the rigorous methodology for ensuring that computational research results, especially those involving hardware architecture and simulation, are fully reproducible. It emphasizes pinning the entire result chain—from simulator commits and configuration files to workloads, sampling recipes, and statistics scripts—and mandates creating a manifest for every figure. Key practices include recording machine state for silicon runs and containerizing the environment to prevent data drift.

A comprehensive guide detailing the required structure and evidence for packaging research artifacts for academic evaluation tracks (e.g., ISSTA). It outlines how to achieve specific ACM badges—Available, Functional, Reusable, and Results Reproduced—by ensuring the tool is containerizable, has a clear entry point, and allows key results to be independently regenerated by reviewers.

A comprehensive guide detailing how to properly categorize and structure supplementary content for major academic conference submissions, such as NSDI. It outlines the rules for the four distinct containers (Body, References, Appendices, Auxiliary Material), helping authors determine if evidence is required for judging a claim (Body), merely supportive (Appendix), or critical for online review (Auxiliary). It also covers best practices for revision packets.

This guide provides authors with comprehensive best practices for submitting research artifacts (e.g., compilers, benchmarks, proofs) for post-acceptance evaluation at PLDI. It details how to structure the submission, ensuring reproducibility, containerization, and clear documentation to achieve Functional, Reusable, or Available badges.

This comprehensive guide outlines the requirements for submitting computational artifacts for post-acceptance evaluation at PPoPP. It details PPoPP's unique badge policy (Functional, Reusable, Results Reproduced), addresses the challenges of ensuring results reproduce across different hardware architectures, and provides a detailed packaging plan, including containerization, README structure, and provenance documentation for maximizing reproducibility.

This guide details the critical 'triage protocol' for structuring academic papers for highly constrained venues like SIGIR. It outlines the three-container model (Paper Body, References, Repository) and provides expert advice on prioritizing review-critical evidence, implementing effective content compression techniques, and managing external repository material to ensure submissions meet strict page budgets without sacrificing soundness or review quality. Essential reading for researchers.

A comprehensive guide detailing the standards for scientific reproducibility in visualization research, particularly for IEEE VIS submissions. It outlines the Graphics Replicability Stamp Initiative (GRSI) requirements, covering how independent volunteers must reproduce results using provided code, data, and environments (e.g., Docker containers). Learn how to package your work—including determinism aids, mapping tables, and licensed data—to pass rigorous, clean-machine testing.

A comprehensive guide for authors on allocating limited space within academic conference papers. It details the 'three-container model' (main body, references, appendix) and provides rules for maximizing rhetorical impact while adhering to strict page limits, ensuring evidence is placed correctly for reviewers.

The Azure CLI command group for managing Azure Container Registry (ACR). This tool allows users to perform the entire ACR lifecycle, including creating registries, authenticating credentials, building and pushing container images (using cloud builds), importing images from other sources, and configuring advanced features like geo-replication, private endpoints, and webhooks. Essential for CI/CD pipelines and container deployment workflows in Azure.