research
∙
06/11/2020
Ansor : Generating High-Performance Tensor Programs for Deep Learning
High-performance tensor programs are crucial to guarantee efficient exec...
share
research
∙
05/27/2020
ProTuner: Tuning Programs with Monte Carlo Tree Search
We explore applying the Monte Carlo Tree Search (MCTS) algorithm in a no...
research
∙
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...
research
∙
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...
research
∙
09/20/2019
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning
One of the key challenges arising when compilers vectorize loops for tod...
research
∙
08/04/2019
Deep Reinforcement Learning in System Optimization
The recent advancements in deep reinforcement learning have opened new h...
research
∙
01/15/2019