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06/11/2020
Ansor : Generating High-Performance Tensor Programs for Deep Learning
High-performance tensor programs are crucial to guarantee efficient exec...
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05/27/2020
ProTuner: Tuning Programs with Monte Carlo Tree Search
We explore applying the Monte Carlo Tree Search (MCTS) algorithm in a no...
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03/02/2020
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning
The performance of the code a compiler generates depends on the order in...
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11/22/2019
Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures
Advances in deep learning and neural networks have resulted in the rapid...
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09/20/2019
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning
One of the key challenges arising when compilers vectorize loops for tod...
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08/04/2019
Deep Reinforcement Learning in System Optimization
The recent advancements in deep reinforcement learning have opened new h...
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01/15/2019
