Dynamic Scoring Formula

The individual weights (

W_{Func}

W_{Delay}

W_{Area}

) and the minimum Functionality Threshold (

Threshold_{Func}

) are loaded from the weights.json file.

Constraint: The submission must achieve a minimum Functionality Score ( $F_c$ ) greater than or equal to the dynamic $Threshold_{Func}$ to receive a non-zero overall score.

\text{IF } F_c \ge Threshold_{Func} :

O_c = \frac{(W_{Func} \cdot F_c) + (W_{Area} \cdot Area) + (W_{Perf} \cdot P_c)}{Total\_W}

\text{IF } F_c < Threshold_{Func} :

O_c = 0

Note: The power metric is not currently evaluated, as it will be integrated for future challenges, such as the Neural Processing Unit (NPU) development specifically for edge AI applications, where power is a critical concern.

Score Normalization

Detailed Metric Evaluation

⌘I

Executive Summary

Problem Statement

The ChipForge Solution

Technical Architecture

Hardware Development Framework

Evaluation Methodology

Incentive Mechanisms & Game Theory

Current Progress & Achievements

Roadmap

Economic Model & Market Analysis

Conclusion

Dynamic Scoring Formula