← authors · overview

• ProGraML: Graph-based Deep Learning for Program Optimization and Analysis
  2020 · 24 citations
• Code Translation with Compiler Representations
  2022 · 19 citations
• Large Language Models for Compiler Optimization
  2023 · 11 citations
• CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
  2024 · 5 citations
• Using Graph Neural Networks to model the performance of Deep Neural Networks
  2021 · 3 citations
• LoopStack: a Lightweight Tensor Algebra Compiler Stack
  2022 · 2 citations
• Meta Large Language Model Compiler: Foundation Models of Compiler Optimization
  2024 · 2 citations
• LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers
  2024 · 1 citations
• CWM: An Open-Weights LLM for Research on Code Generation with World Models
  2025
• CWM: An Open-Weights LLM for Research on Code Generation with World Models
  2025
• CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research
  2021
• BenchPress: A Deep Active Benchmark Generator
  2022
• BenchDirect: A Directed Language Model for Compiler Benchmarks
  2023
• Sieve: Multimodal Dataset Pruning Using Image Captioning Models
  2023
• Compiler generated feedback for Large Language Models
  2024