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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
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
Target-independent XLA optimization using Reinforcement Learning—0
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