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  1. In this thesis, novel approaches for automatically handling complex compiler optimization tasks are explored. End-to-end solutions using deep reinforcement learning and other machine

  2. zwang4/awesome-machine-learning-in-compilers - GitHub

    A curated list of awesome research papers, datasets, and tools for applying machine learning techniques to compilers and program optimisation. Towards Efficient Compiler Auto-tuning: …

  3. Machine Learning in Compiler Optimization - IEEE Xplore

    In this paper, we describe the relationship between machine learning and compiler optimization and introduce the main concepts of features, models, training, and deployment. We then …

  4. MLGO: A Machine Learning Framework for Compiler Optimization

    Jul 6, 2022 · MLGO uses reinforcement learning (RL) to train neural networks to make decisions that can replace heuristics in LLVM. We describe two MLGO optimizations for LLVM: 1) …

  5. [1805.03441] Machine Learning in Compiler Optimisation

    May 9, 2018 · In this article, we describe the relationship between machine learning and compiler optimisation and introduce the main concepts of features, models, training and deployment. …

  6. Introduction — tvm 0.15.0 documentation - The Apache Software …

    Apache TVM is an open source machine learning compiler framework for CPUs, GPUs, and machine learning accelerators. It aims to enable machine learning engineers to optimize and …

  7. Advanced AI compiler optimization with Forge: A deep dive

    Oct 31, 2024 · Learn how to transform a pre-trained machine learning (ML) model into a high-performing application using Forge from Latent AI.

  8. In this paper, we describe the relationship between machine learning and compiler optimization and introduce the main concepts of features, models, training, and deployment. We then …

  9. The Next 700 ML-Enabled Compiler Optimizations

    Feb 20, 2024 · We propose ML-Compiler-Bridge to enable ML model development within a traditional Python framework while making end-to-end integration with an optimizing compiler …

  10. A Machne Learning Framework for Compiler Optimizations

    MLGO1, a framework for integrating ML technology methods from the industrial compiler Low Level Virtual Machine (LLVM). In a case study, describe the details and results of replacing the …

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