Papers Compiler Optimization
“Compiler Optimization” 태그가 달린 논문 45편 · 필터 해제
Static Neural Compiler Optimization via Deep Reinforcement Learning
The phase-ordering problem of modern compilers has received a lot of attention from the research community over the years, yet remains largely unsolved. Various optimization sequences exposed to the user are manually des…
Compiler OptimizationDeep Reinforcement Learningreinforcement-learningReinforcement Learning+1Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization
High-end mobile platforms rapidly serve as primary computing devices for a wide range of Deep Neural Network (DNN) applications. However, the constrained computation and storage resources on these devices still pose sign…
Compiler OptimizationStyle TransferSuper-ResolutionAn Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
Weight pruning has been widely acknowledged as a straightforward and effective method to eliminate redundancy in Deep Neural Networks (DNN), thereby achieving acceleration on various platforms. However, most of the pruni…
Code GenerationCompiler OptimizationToward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning
The ambiguous annotation criteria lead to divergence of Chinese Word Segmentation (CWS) datasets in various granularities. Multi-criteria Chinese word segmentation aims to capture various annotation criteria among datase…
Chinese Word SegmentationCompiler OptimizationComputational EfficiencyQuantization+1A Survey on Compiler Autotuning using Machine Learning
Since the mid-1990s, researchers have been trying to use machine-learning based approaches to solve a number of different compiler optimization problems. These techniques primarily enhance the quality of the obtained res…
BIG-bench Machine LearningCompiler OptimizationSurvey