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Compiler Optimization

Machine learning guided compiler optimization

Papers

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Showing 26–45 of 45 papers

TitleStatusHype
Leveraging Artificial Intelligence on Binary Code Comprehension—0
SimCLF: A Simple Contrastive Learning Framework for Function-level Binary EmbeddingsCode0
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory CachingCode1
Securing Optimized Code Against Power Side Channels—0
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN ExecutionCode1
Learning to Combine Instructions in LLVM Compiler—0
Learning to Superoptimize Real-world Programs—0
CompilerGym: Robust, Performant Compiler Optimization Environments for AI ResearchCode1
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity—0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
FOGA: Flag Optimization with Genetic Algorithm—0
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences—0
Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning—0
Deep Data Flow Analysis—0
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP ApplicationsCode1
Static Neural Compiler Optimization via Deep Reinforcement Learning—0
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization—0
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices—0
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning—0
A Survey on Compiler Autotuning using Machine Learning—0
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