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Invited Talk
Tue 8:20 Directions for Deep Learning Hardware
William Dally
Oral
Tue 11:10 Cortex: A Compiler for Recursive Deep Learning Models
Pratik Fegade · Tianqi Chen · Phillip Gibbons · Todd Mowry
Oral
Tue 11:30 A Deep Learning Based Cost Model for Automatic Code Optimization
Riyadh Baghdadi · Massinissa Merouani · Mohamed-Hicham LEGHETTAS · Kamel Abdous · Taha Arbaoui · Karima BENATCHBA · Saman Amarasinghe
Oral
Tue 13:50 In-network Aggregation for Shared Machine Learning Clusters
Nadeen Gebara · Manya Ghobadi · Paolo Costa
Oral
Tue 14:10 Data Movement Is All You Need: A Case Study on Optimizing Transformers
Andrei Ivanov · Nikoli Dryden · Tal Ben-Nun · Shigang Li · Torsten Hoefler
Oral
Tue 16:40 TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models
Chunxing Yin · Bilge Acun · Carole-Jean Wu · Xing Liu
Poster
Tue 17:00 Data Movement Is All You Need: A Case Study on Optimizing Transformers
Andrei Ivanov · Nikoli Dryden · Tal Ben-Nun · Shigang Li · Torsten Hoefler
Poster
Tue 17:00 A Deep Learning Based Cost Model for Automatic Code Optimization
Riyadh Baghdadi · Massinissa Merouani · Mohamed-Hicham LEGHETTAS · Kamel Abdous · Taha Arbaoui · Karima BENATCHBA · Saman Amarasinghe
Poster
Tue 17:00 TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models
Chunxing Yin · Bilge Acun · Carole-Jean Wu · Xing Liu
Poster
Tue 17:00 Cortex: A Compiler for Recursive Deep Learning Models
Pratik Fegade · Tianqi Chen · Phillip Gibbons · Todd Mowry