dse-loop

Automate design space exploration by running experiments and iterating parameter choices.

Updated Apr 1, 2026

Search Tags:#automation #optimization #hardware #EDA #experimentation #design-space

Ready to run

npx skills add https://github.com/Wenwen555/ARIS-LVLM --skill dse-loop-wenwen555

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dse-loop
Source: https://github.com/Wenwen555/ARIS-LVLM/tree/main/skills/dse-loop
Command: npx skills add https://github.com/Wenwen555/ARIS-LVLM --skill dse-loop-wenwen555

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Autonomous design space exploration loop accelerates hardware and EDA optimization by automatically running experiments, evaluating results, and proposing next configurations to minimize manual trial-and-error.

Core Features & Use Cases

End-to-end DSE workflow: run, analyze, and adapt parameter choices across iterations.
Applicable to microarchitecture tuning, synthesis parameterization, RTL exploration, and compiler flag optimization.
Supports baseline evaluation, adaptive sampling, and robust recovery from interrupted runs.

Quick Start

Run dse-loop on a target program to automatically explore the design space and converge on the best configuration within the given timeout.

Frequently Asked Questions about dse-loop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate hardware design space exploration for microarchitecture tuning?▼

Automate hardware design space exploration by configuring a loop that runs experiments, analyzes program outputs, and iterates parameter choices across microarchitecture tuning until your objective is met or timeout occurs.

What is autonomous design space exploration in EDA and when do I need it?▼

Autonomous design space exploration in EDA automatically runs experiments, evaluates results, and proposes next configurations to minimize manual trial-and-error during synthesis, RTL parameterization, and compiler flag optimization.

How do I recover interrupted design space exploration runs?▼

Recover interrupted design space exploration runs using the structured dse_results directory, which automatically logs baseline configurations and recovery state to resume iterative parameter evaluation seamlessly.

Can I use automated design space exploration for compiler flag optimization across large parameter spaces?▼

Yes, automated design space exploration applies to compiler flag optimization across moderate to large parameter spaces by iteratively running experiments and adapting parameter choices based on parsed program outputs.

What do I need to set up before running automated EDA parameter exploration?▼

Before running automated EDA parameter exploration, you need a target program with parseable outputs, a clearly defined optimization objective, and constraints to guide the iterative design space search.

Are there limitations to automated design space exploration loops?▼

Automated design space exploration loops require parseable program outputs and clear objective definitions, limiting use cases where results lack structured metrics or constraints cannot be formally expressed.