| Adaptive sparse tiling for sparse matrix multiplication C Hong, A Sukumaran-Rajam, I Nisa, K Singh, P Sadayappan Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019 | 166 | 2019 |
| Efficient sparse-matrix multi-vector product on gpus C Hong, A Sukumaran-Rajam, B Bandyopadhyay, J Kim, SE Kurt, I Nisa, ... Proceedings of the 27th International Symposium on High-Performance Parallel …, 2018 | 82* | 2018 |
| Static and dynamic frequency scaling on multicore CPUs W Bao, C Hong, S Chunduri, S Krishnamoorthy, LN Pouchet, F Rastello, ... ACM Transactions on Architecture and Code Optimization (TACO) 13 (4), 1-26, 2016 | 60 | 2016 |
| A novel data transformation and execution strategy for accelerating sparse matrix multiplication on GPUs P Jiang, C Hong, G Agrawal Proceedings of the 25th ACM SIGPLAN symposium on principles and practice of …, 2020 | 59 | 2020 |
| A sparse iteration space transformation framework for sparse tensor algebra R Senanayake, C Hong, Z Wang, A Wilson, S Chou, S Kamil, ... Proceedings of the ACM on Programming Languages 4 (OOPSLA), 1-30, 2020 | 54 | 2020 |
| MultiGraph: Efficient graph processing on GPUs C Hong, A Sukumaran-Rajam, J Kim, P Sadayappan 2017 26th International Conference on Parallel Architectures and Compilation …, 2017 | 43 | 2017 |
| Sampled dense matrix multiplication for high-performance machine learning I Nisa, A Sukumaran-Rajam, SE Kurt, C Hong, P Sadayappan 2018 IEEE 25th International Conference on High Performance Computing (HiPC …, 2018 | 42 | 2018 |
| Connectit: A framework for static and incremental parallel graph connectivity algorithms L Dhulipala, C Hong, J Shun arXiv preprint arXiv:2008.03909, 2020 | 41 | 2020 |
| Effective padding of multidimensional arrays to avoid cache conflict misses C Hong, W Bao, A Cohen, S Krishnamoorthy, LN Pouchet, F Rastello, ... ACM SIGPLAN Notices 51 (6), 129-144, 2016 | 37 | 2016 |
| Resource conscious reuse-driven tiling for GPUs PS Rawat, C Hong, M Ravishankar, V Grover, LN Pouchet, A Rountev, ... Proceedings of the 2016 International Conference on Parallel Architectures …, 2016 | 35 | 2016 |
| Effective resource management for enhancing performance of 2D and 3D stencils on GPUs PS Rawat, C Hong, M Ravishankar, V Grover, LN Pouchet, ... Proceedings of the 9th Annual Workshop on General Purpose Processing using …, 2016 | 26 | 2016 |
| Optimizing tensor contractions in ccsd (t) for efficient execution on gpus J Kim, A Sukumaran-Rajam, C Hong, A Panyala, RK Srivastava, ... Proceedings of the 2018 International Conference on Supercomputing, 96-106, 2018 | 24 | 2018 |
| Compiling graph applications for GPU s with GraphIt A Brahmakshatriya, Y Zhang, C Hong, S Kamil, J Shun, S Amarasinghe 2021 IEEE/ACM International Symposium on Code Generation and Optimization …, 2021 | 22 | 2021 |
| Taming the zoo: The unified graphit compiler framework for novel architectures A Brahmakshatriya, E Furst, VA Ying, C Hsu, C Hong, M Ruttenberg, ... 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021 | 21 | 2021 |
| Exploring the design space of static and incremental graph connectivity algorithms on GPUs C Hong, L Dhulipala, J Shun Proceedings of the ACM International Conference on Parallel Architectures …, 2020 | 17 | 2020 |
| GPU code optimization using abstract kernel emulation and sensitivity analysis C Hong, A Sukumaran-Rajam, J Kim, PS Rawat, S Krishnamoorthy, ... Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018 | 17 | 2018 |
| TTLG-an efficient tensor transposition library for GPUs J Vedurada, A Suresh, AS Rajam, J Kim, C Hong, A Panyala, ... 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018 | 13 | 2018 |
| Characterization of data movement requirements for sparse matrix computations on gpus SE Kurt, V Thumma, C Hong, A Sukumaran-Rajam, P Sadayappan 2017 IEEE 24th International Conference on High Performance Computing (HiPC …, 2017 | 12 | 2017 |
| Unified Convolution Framework: A compiler-based approach to support sparse convolutions J Won, C Hong, C Mendis, J Emer, S Amarasinghe Proceedings of Machine Learning and Systems 5, 666-679, 2023 | 7 | 2023 |
| Finch: Sparse and Structured Array Programming with Control Flow W Ahrens, TF Collin, R Patel, K Deeds, C Hong, S Amarasinghe arXiv preprint arXiv:2404.16730, 2024 | 5 | 2024 |
