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Helion is a Python-embedded domain-specific language (DSL) for authoring machine learning kernels, designed to compile down to Triton. https://github.com/pytorch/helion I mostly followed the Triton example, please let me know if there's more I need to do or anything I missed. infra PR: https://github.com/compiler-explorer/infra/pull/1875
Logo Optimization Guidelines
This directory contains logos for programming languages displayed in Compiler Explorer. To maintain fast loading times and reasonable bundle sizes, logos should be optimized before adding them.
Size Guidelines
- Target size: Keep individual logos under 20KB when possible
- Maximum dimensions: 256×256 pixels (preserving aspect ratio)
- File formats: SVG preferred for simple graphics, PNG for complex images
Optimization Tools & Commands
PNG Images
# Resize and optimize (preserves aspect ratio)
convert input.png -resize 256x256> -quality 85 output.png
# Alternative with pngquant for better compression
pngquant --quality=65-80 --output output.png input.png
SVG Images
# Optimize with SVGO (install with: npm install -g svgo)
npx svgo input.svg --output output.svg
# For SVGs with embedded raster data, convert to PNG instead
convert input.svg -resize 256x256 -quality 85 output.png
Common Issues
- Embedded Base64 data in SVGs: These are usually very large (300KB+). Convert to PNG instead.
- Oversized PNGs: Images over 1000px wide/tall should be resized to 256×256 or smaller.
- 16-bit PNGs: Convert to 8-bit with
convert input.png -depth 8 output.png
Recent Optimizations
Examples of successful optimizations:
hylo.svg(321KB) →hylo.png(27KB) - 92% reductionnim.svg(126KB) →nim.png(13KB) - 90% reductionscala.png(79KB) → optimized (14KB) - 82% reduction
Always test that optimized logos look good at small icon sizes (16-32px) in the UI.