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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
Accelerating Large Language Models through Partially Linear Feed-Forward Network—0
Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey—0
Automated Strategy Invention for Confluence of Term Rewrite Systems—0
Optimizing Tensor Computation Graphs with Equality Saturation and Monte Carlo Tree Search—0
Meta Large Language Model Compiler: Foundation Models of Compiler Optimization—0
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization—0
Optimization of Armv9 architecture general large language model inference performance based on Llama.cppCode0
Automated Creation of Source Code Variants of a Cryptographic Hash Function Implementation Using Generative Pre-Trained Transformer Models—0
Offline Imitation Learning from Multiple Baselines with Applications to Compiler Optimization—0
Compiler generated feedback for Large Language Models—0
Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning—0
WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language ModelsCode1
Large Language Models for Compiler Optimization—0
Target-independent XLA optimization using Reinforcement Learning—0
AMULET: Adaptive Matrix-Multiplication-Like Tasks—0
Tensor Slicing and Optimization for Multicore NPUs—0
Robust Scheduling with GFlowNets—0
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction—0
oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation—0
Compiler Optimization for Quantum Computing Using Reinforcement LearningCode1
BaCO: A Fast and Portable Bayesian Compiler Optimization FrameworkCode1
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
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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