Changwan Hong
Changwan Hong
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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
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
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
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
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
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
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
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
Connectit: A framework for static and incremental parallel graph connectivity algorithms
L Dhulipala, C Hong, J Shun
arXiv preprint arXiv:2008.03909, 2020
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
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
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
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
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
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
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
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
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
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
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
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