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Compiler Optimization

Machine learning guided compiler optimization

Papers

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Showing 1–45 of 45 papers

TitleStatusHype
Compiler Optimization via LLM Reasoning for Efficient Model ServingCode2
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
WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language ModelsCode1
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
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN ExecutionCode1
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP ApplicationsCode1
BaCO: A Fast and Portable Bayesian Compiler Optimization FrameworkCode1
Deep Data Flow Analysis—0
Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey—0
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
Meta Large Language Model Compiler: Foundation Models of Compiler Optimization—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
Target-independent XLA optimization using Reinforcement Learning—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
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
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
Accelerating Large Language Models through Partially Linear Feed-Forward Network—0
Tensor Slicing and Optimization for Multicore NPUs—0
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning—0
Optimization of Armv9 architecture general large language model inference performance based on Llama.cppCode0
SimCLF: A Simple Contrastive Learning Framework for Function-level Binary EmbeddingsCode0
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