Skill UI

This comprehensive guide assists researchers and practitioners in selecting the optimal venue and track (e.g., DAC, ICCAD, ISCA) for their electronic design automation (EDA) or chip-design project. It clarifies the critical distinction between the archival Research Manuscript track and the industry-facing Engineering Track at DAC, emphasizing the need to frame contributions using measurable Quality of Results (QoR) improvements, novel algorithms, or real-world industrial lessons.

A comprehensive guide for data engineers and researchers determining the best venue (ICDE, SIGMOD, VLDB, etc.) for their data-intensive systems paper. It outlines the foundational "data-management-primitive test" and provides strategic advice on navigating the overlaps and differences between major database conferences based on research focus and submission timeline.