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dgnadkar

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Dgnadkar

During June 2025, Dhananjay Nadkarni focused on parameter tuning for performance and power estimation in the tathagatasrimani/codesign repository. He updated the tech_params.yaml configuration file, refining initial values for area, dynamic power, latency, and leakage power to better align with revised hardware models. Leveraging his skills in hardware design and parameter tuning, Dhananjay ensured that these changes improved the accuracy and reproducibility of performance and power estimation workflows. The work was anchored to a single, traceable commit, supporting reproducible results and transparent parameter management. YAML was used as the primary language for configuration and workflow integration.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
196
Activity Months1

Your Network

20 people

Work History

June 2025

1 Commits • 1 Features

Jun 1, 2025

June 2025 monthly summary focusing on parameter tuning for performance and power estimation in the codesign repository. Updated initial values in tech_params.yaml for area, dynamic_power, latency, and leakage_power to refine accuracy of performance and power estimations within the hardware design/simulation workflow. Changes anchored to a single, traceable commit and prepared for reproducible results.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture60.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

YAML

Technical Skills

Hardware DesignParameter Tuning

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

tathagatasrimani/codesign

Jun 2025 Jun 2025
1 Month active

Languages Used

YAML

Technical Skills

Hardware DesignParameter Tuning