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Compiler Optimization

Machine learning guided compiler optimization

Papers

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Showing 21–30 of 45 papers

TitleStatusHype
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
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