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Compiler Optimization

Machine learning guided compiler optimization

Papers

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Showing 26–45 of 45 papers

TitleStatusHype
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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