Spaces:
Running
on
A10G
Running
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A10G
File size: 769 Bytes
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---
title: VLIW Kernel Optimizer
emoji: "⚡"
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.0.0
app_file: app.py
pinned: false
license: mit
---
# VLIW Kernel Optimization via Reinforcement Learning
Train a language model to generate optimized VLIW/SIMD kernels using test-time RL training.
## Goal
- **Baseline:** 147,734 cycles
- **Target:** 1,363 cycles (108x speedup)
## How it works
1. Model generates kernel code
2. Simulator evaluates cycle count
3. RL training improves the model based on rewards
## Usage
1. Select a model (Qwen2.5-Coder-7B recommended)
2. Configure training steps (50 recommended)
3. Click "Start Training"
4. Monitor progress - training continues even if you close the browser
## Hardware
Requires A10G GPU (HF Spaces Pro)
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