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Compiler Optimization

Machine learning guided compiler optimization

Papers

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Showing 1–25 of 45 papers

TitleStatusHype
Compiler Optimization via LLM Reasoning for Efficient Model ServingCode2
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP ApplicationsCode1
Bridging the PLC Binary Analysis Gap: A Cross-Compiler Dataset and Neural Framework for Industrial Control SystemsCode1
CompilerGym: Robust, Performant Compiler Optimization Environments for AI ResearchCode1
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory CachingCode1
Compiler Optimization for Quantum Computing Using Reinforcement LearningCode1
WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language ModelsCode1
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN ExecutionCode1
BaCO: A Fast and Portable Bayesian Compiler Optimization FrameworkCode1
SimCLF: A Simple Contrastive Learning Framework for Function-level Binary EmbeddingsCode0
Optimization of Armv9 architecture general large language model inference performance based on Llama.cppCode0
FOGA: Flag Optimization with Genetic Algorithm—0
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity—0
Large Language Models for Compiler Optimization—0
Learning to Combine Instructions in LLVM Compiler—0
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction—0
Learning to Superoptimize Real-world Programs—0
Leveraging Artificial Intelligence on Binary Code Comprehension—0
Accelerating Large Language Models through Partially Linear Feed-Forward Network—0
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences—0
Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration—0
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators—0
Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning—0
Offline Imitation Learning from Multiple Baselines with Applications to Compiler Optimization—0
oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation—0
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