Paper Presentations 

 

Oct 31st  Chris,Claude: Tiramisu Compiler

 

Nov 5th   Elena,Weston: TensorFlow: A System for Large-scale Machine Learning

                                          MXNet: A Flexible and Efficient Machine Learning Library

 

Nov 7th   Saurabh,Benjamin: ParameterHub

                                                            Distributed Word2Vec using Graph Analytics Frameworks

 

Nov 12th  Riley,Hailey: Machine learning in compiler optimization

 

Nov 14th  Gahwon,Matthew: Neurovectorizer: Reinforcement learning for vectorization

 

Nov 19th  Noah,William: Proactive control of approximate programs

                        SLAMBooster

 

Nov 21th  Kasra,Jayaj: Learning to represent programs with graphs

 

Nov 26th  Siyu,Bozhi,Xiantao: Code2vec: Learning distributed representations of code

                                                                 Node2vec:Embeddings for graph data

 

 

Dec 3rd   Quang,Vincent: SemCluster: Clustering of Programming Assignments  

 

 

Dec 5th  Hochan,Rohan: Halide: A Language and Compiler for Image Processing