Mendis, Charith

7 publications

ICML 2025 COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware Using Transfer Learning Chamika Sudusinghe, Gerasimos Gerogiannis, Damitha Lenadora, Charles Block, Josep Torrellas, Charith Mendis

NeurIPSW 2023 COMET: Neural Cost Model Explanation Framework Isha Chaudhary, Alex Renda, Charith Mendis, Gagandeep Singh

NeurIPS 2023 Learning Large Graph Property Prediction via Graph Segment Training Kaidi Cao, Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi

ICMLW 2023 Learning Large Graph Property Prediction via Graph Segment Training Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi

NeurIPS 2023 TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi

NeurIPS 2019 Compiler Auto-Vectorization with Imitation Learning Charith Mendis, Cambridge Yang, Yewen Pu, Dr.Saman Amarasinghe, Michael Carbin

ICML 2019 Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation Using Deep Neural Networks Charith Mendis, Alex Renda, Dr.Saman Amarasinghe, Michael Carbin