| Offloading support for OpenMP in Clang and LLVM SF Antao, A Bataev, AC Jacob, GT Bercea, AE Eichenberger, G Rokos, ... 2016 Third Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC), 1-11, 2016 | 87 | 2016 |
| Compiling onnx neural network models using mlir T Jin, GT Bercea, TD Le, T Chen, G Su, H Imai, Y Negishi, A Leu, ... arXiv preprint arXiv:2008.08272, 2020 | 59 | 2020 |
| Split-cnn: Splitting window-based operations in convolutional neural networks for memory system optimization T Jin, S Hong Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 52 | 2019 |
| Automatic tiling of “mostly-tileable” loop nests D Wonnacott, T Jin, A Lake 5th International Workshop on Polyhedral Compilation Techniques, Amsterdam, 2015 | 33 | 2015 |
| Performance analysis and optimization of Clang's OpenMP 4.5 GPU support M Martineau, S McIntosh-Smith, C Bertolli, AC Jacob, SF Antao, ... 2016 7th International Workshop on Performance Modeling, Benchmarking and …, 2016 | 28 | 2016 |
| Pruning’s effect on generalization through the lens of training and regularization T Jin, M Carbin, D Roy, J Frankle, GK Dziugaite Advances in Neural Information Processing Systems 35, 37947-37961, 2022 | 24 | 2022 |
| Efficient fork-join on GPUs through warp specialization AC Jacob, AE Eichenberger, H Sung, SF Antao, GT Bercea, C Bertolli, ... 2017 IEEE 24th International Conference on High Performance Computing (HiPC …, 2017 | 21 | 2017 |
| Efficient automatic scheduling of imaging and vision pipelines for the GPU L Anderson, A Adams, K Ma, TM Li, T Jin, J Ragan-Kelley Proceedings of the ACM on Programming Languages 5 (OOPSLA), 1-28, 2021 | 17 | 2021 |
| Striped Attention: Faster Ring Attention for Causal Transformers W Brandon, A Nrusimha, K Qian, Z Ankner, T Jin, Z Song, J Ragan-Kelley arXiv preprint arXiv:2311.09431, 2023 | 12 | 2023 |
| Language to network: Conditional parameter adaptation with natural language descriptions T Jin, Z Liu, S Yan, A Eichenberger, LP Morency Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 9 | 2020 |
| The effect of data dimensionality on neural network prunability Z Ankner, A Renda, GK Dziugaite, J Frankle, T Jin arXiv preprint arXiv:2212.00291, 2022 | 5 | 2022 |
| The Cost of Down-Scaling Language Models: Fact Recall Deteriorates before In-Context Learning T Jin, N Clement, X Dong, V Nagarajan, M Carbin, J Ragan-Kelley, ... arXiv preprint arXiv:2310.04680, 2023 | 3 | 2023 |
| Hybrid static/dynamic schedules for tiled polyhedral programs T Jin, N Prajapati, W Ranasinghe, G Iooss, Y Zou, S Rajopadhye, ... arXiv preprint arXiv:1610.07236, 2016 | 3 | 2016 |
| Self-Selected Attention Span for Accelerating Large Language Model Inference T Jin, Z Xu, S Sharify, X Wang arXiv preprint arXiv:2404.09336, 2024 | | 2024 |
| The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning T Jin, N Clement, X Dong, V Nagarajan, M Carbin, J Ragan-Kelley, ... The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| Towards Effective and Efficient Zero-shot Learning by Fine-tuning with Task Descriptions T Jin, Z Liu, S Yan, A Eichenberger, LP Morency | | 2019 |
| Using Hybrid Schedules to Safely Outperform Classical Polyhedral Schedules T Jin 2015 International Conference on Parallel Architecture and Compilation (PACT …, 2015 | | 2015 |
| LLVM-HPC 2016 SF Antao, A Bataev, AC Jacob, GT Bercea, AE Eichenberger, G Rokos, ... | | |
| Offloading Support for OpenMP in Clang and LLVM C Bertolli, AEE Bercea, G Rokos, M Martineau, T Jin, G Ozen, Z Sura, ... | | |
