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Compiler Optimization

Machine learning guided compiler optimization

Papers

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Showing 26–45 of 45 papers

TitleStatusHype
Optimizing Tensor Computation Graphs with Equality Saturation and Monte Carlo Tree Search—0
Robust Scheduling with GFlowNets—0
Securing Optimized Code Against Power Side Channels—0
Static Neural Compiler Optimization via Deep Reinforcement Learning—0
Target-independent XLA optimization using Reinforcement Learning—0
Tensor Slicing and Optimization for Multicore NPUs—0
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning—0
Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning—0
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization—0
Meta Large Language Model Compiler: Foundation Models of Compiler Optimization—0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
AMULET: Adaptive Matrix-Multiplication-Like Tasks—0
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices—0
A Survey on Compiler Autotuning using Machine Learning—0
Automated Creation of Source Code Variants of a Cryptographic Hash Function Implementation Using Generative Pre-Trained Transformer Models—0
Automated Strategy Invention for Confluence of Term Rewrite Systems—0
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization—0
Compiler generated feedback for Large Language Models—0
Deep Data Flow Analysis—0
Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey—0
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