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Compiler Optimization

Machine learning guided compiler optimization

Papers

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Showing 21–30 of 45 papers

TitleStatusHype
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
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
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