Changwan Hong
Changwan Hong
Verified email at osu.edu - Homepage
Title
Cited by
Cited by
Year
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
462019
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
402016
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
33*2018
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
312016
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
282016
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
252017
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
212016
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
192020
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
162018
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
102018
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
92018
ConnectIt: A framework for static and incremental parallel graph connectivity algorithms
L Dhulipala, C Hong, J Shun
arXiv preprint arXiv:2008.03909, 2020
82020
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
82017
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
62018
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
42021
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
42020
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
22020
Performance modeling for gpus using abstract kernel emulation
C Hong, A Sukumaran-Rajam, J Kim, PS Rawat, S Krishnamoorthy, ...
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of …, 2018
22018
Taming the Zoo: The Unified GraphIt Compiler Framework for Novel Architectures
A Brahmakshatriya, E Furst, VA Ying, C Hsu, C Hong, M Ruttenberg, ...
Appears in the Proceedings of the 48th Annual International Symposium on …, 2021
12021
A unified iteration space transformation framework for sparse and dense tensor algebra
R Senanayake, F Kjolstad, C Hong, S Kamil, S Amarasinghe
arXiv preprint arXiv:2001.00532, 2019
12019
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Articles 1–20