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A comprehensive guide for authors targeting the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP). This skill helps assess if a computer science manuscript fits the venue, focusing on techniques like parallel programming models, compilers, runtimes, and multicore/GPU systems. It provides structured advice on framing the contribution, identifying evidence gaps, and positioning the work against related top-tier conferences.

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.

A comprehensive guide for researchers detailing how to structure the 'Related Work' section for top-tier parallel computing conferences like PPoPP. It emphasizes 'delta-first' comparison, covering specific technical lanes (concurrent data structures, runtimes, GPU acceleration, memory models), and ensuring proper academic positioning against major parallel systems venues.

A comprehensive deep dive into the PPoPP conference review pipeline. This guide models the single-round, double-blind review process, detailing how submissions are evaluated by the Program Committee and External Review Committee. It covers critical aspects such as the author response rebuttal, automatic poster consideration, and the specific technical axes reviewers prioritize (e.g., scalability, concurrency correctness, baseline honesty) for parallel programming research.

This comprehensive guide provides a detailed audit checklist for submitting research papers to the PPoPP conference. It covers crucial academic requirements, including adherence to the two-column ACM format, strict page limits, abstract guidelines, and maintaining double-blind anonymity by scrubbing identifying information (e.g., cluster names, grant numbers). Use this checklist before final submission to avoid desk-rejection.

A comprehensive guide detailing the rigorous standards required for submitting parallel programming research to top-tier academic venues. It covers crucial topics such as proving concurrency correctness, demonstrating measurable scalability using speedup curves, adhering to strict formatting (10 pages, two-column layout), and structuring the technical contribution to satisfy expert reviewers.