~/talk

AnyDSL: A Partial Evaluation Framework for Programming High-Performance Libraries

Talkat OOPSLA 2018 · 2018-11-07..11-09· [compilers-and-language-design]
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AnyDSL presents a new programming system that uses online partial evaluation (via annotations) on a CPS-style IR to generate high-performance library code. It exposes compiler-known higher-order functions for target-specific code generation (vectorization/parallelization) so generic implementations are specialized at compile time for CPUs and GPUs. Evaluation shows three case studies—image processing, ray tracing, genome alignment—where one generic codebase yields CPU/GPU performance within ~10% of hand-tuned expert implementations.

AI-written summary · about

  1. 0:00AnyDSL framework
  2. 4:06Domain-specific languages
  3. 9:13Classic meta-programming
  4. 10:41Domain-specific generation
  5. 13:14Image processing on GPU
  6. 16:31Domain services
  7. 18:45Raytracing engine
  8. 19:12Live demo & performance
  9. 21:07Memory management
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