Changwan Hong

27 papers A* 3A 4B 6Misc 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Finch: Sparse and Structured Tensor Programming with Control Flow.
Proc. ACM Program. Lang.
Willow Ahrens, Teodoro Fields Collin, Radha Patel, Kyle Deeds, Changwan Hong, Saman P. Amarasinghe
2024 J jnl
Finch: Sparse and Structured Array Programming with Control Flow.
CoRR
Willow Ahrens, Teodoro Fields Collin, Radha Patel, Kyle Deeds, Changwan Hong, Saman P. Amarasinghe
2023 — conf
Unified Convolution Framework: A compiler-based approach to support sparse convolutions.
MLSys
Jaeyeon Won, Changwan Hong, Charith Mendis, Joel S. Emer, Saman P. Amarasinghe
2021 A conf
Compiling Graph Applications for GPU s with GraphIt.
CGO
Ajay Brahmakshatriya, Yunming Zhang, Changwan Hong, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe
2021 A* conf
Taming the Zoo: The Unified GraphIt Compiler Framework for Novel Architectures.
ISCA
Ajay Brahmakshatriya, Emily Furst, Victor A. Ying, Claire Hsu, Changwan Hong, Max Ruttenberg, Yunming Zhang, Dai Cheol Jung, Dustin Richmond, Michael B. Taylor, Julian Shun, Mark Oskin, Daniel Sánchez, Saman P. Amarasinghe
2020 J jnl
A Unified Iteration Space Transformation Framework for Sparse and Dense Tensor Algebra.
CoRR
Ryan Senanayake, Fredrik Kjolstad, Changwan Hong, Shoaib Kamil, Saman P. Amarasinghe
2020 B conf
A novel data transformation and execution strategy for accelerating sparse matrix multiplication on GPUs.
PPoPP
Peng Jiang, Changwan Hong, Gagan Agrawal
2020 J jnl
A sparse iteration space transformation framework for sparse tensor algebra.
Proc. ACM Program. Lang.
Ryan Senanayake, Changwan Hong, Ziheng Wang, Amalee Wilson, Stephen Chou, Shoaib Kamil, Saman P. Amarasinghe, Fredrik Kjolstad
2020 J jnl
Compliation Techniques for Graphs Algorithms on GPUs.
CoRR
Ajay Brahmakshatriya, Yunming Zhang, Changwan Hong, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe
2020 J jnl
ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms.
CoRR
Laxman Dhulipala, Changwan Hong, Julian Shun
2020 J jnl
ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms.
Proc. VLDB Endow.
Laxman Dhulipala, Changwan Hong, Julian Shun
2020 B conf
Exploring the Design Space of Static and Incremental Graph Connectivity Algorithms on GPUs.
PACT
Changwan Hong, Laxman Dhulipala, Julian Shun
2020 J jnl
Exploring the Design Space of Static and Incremental Graph Connectivity Algorithms on GPUs.
CoRR
Changwan Hong, Laxman Dhulipala, Julian Shun
2019 B conf
Adaptive sparse tiling for sparse matrix multiplication.
PPoPP
Changwan Hong, Aravind Sukumaran-Rajam, Israt Nisa, Kunal Singh, P. Sadayappan
2018 A conf
Efficient sparse-matrix multi-vector product on GPUs.
HPDC
Changwan Hong, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Jinsung Kim, Süreyya Emre Kurt, Israt Nisa, Shivani Sabhlok, Ümit V. Çatalyürek, Srinivasan Parthasarathy, P. Sadayappan
2018 A* conf
GPU code optimization using abstract kernel emulation and sensitivity analysis.
PLDI
Changwan Hong, Aravind Sukumaran-Rajam, Jinsung Kim, Prashant Singh Rawat, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan
2018 A conf
Optimizing Tensor Contractions in CCSD(T) for Efficient Execution on GPUs.
ICS
Jinsung Kim, Aravind Sukumaran-Rajam, Changwan Hong, Ajay Panyala, Rohit Kumar Srivastava, Sriram Krishnamoorthy, P. Sadayappan
2018 B conf
Performance modeling for GPUs using abstract kernel emulation.
PPoPP
Changwan Hong, Aravind Sukumaran-Rajam, Jinsung Kim, Prashant Singh Rawat, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan
2018 Misc conf
Sampled Dense Matrix Multiplication for High-Performance Machine Learning.
HiPC
Israt Nisa, Aravind Sukumaran-Rajam, Süreyya Emre Kurt, Changwan Hong, P. Sadayappan
2018 A conf
TTLG - An Efficient Tensor Transposition Library for GPUs.
IPDPS
Jyothi Vedurada, Arjun Suresh, Aravind Sukumaran-Rajam, Jinsung Kim, Changwan Hong, Ajay Panyala, Sriram Krishnamoorthy, V. Krishna Nandivada, Rohit Kumar Srivastava, P. Sadayappan
2017 Misc conf
Characterization of Data Movement Requirements for Sparse Matrix Computations on GPUs.
HiPC
Süreyya Emre Kurt, Vineeth Thumma, Changwan Hong, Aravind Sukumaran-Rajam, P. Sadayappan
2017 B conf
MultiGraph: Efficient Graph Processing on GPUs.
PACT
Changwan Hong, Aravind Sukumaran-Rajam, Jinsung Kim, P. Sadayappan
2017 — conf
Scalability and State: A Critical Assessment of Throughput Obtainable on Big Data Streaming Frameworks for Applications With and Without State Information.
Euro-Par Workshops
Shinhyung Yang, Yonguk Jeong, Changwan Hong, Hyunje Jun, Bernd Burgstaller
2016 A* conf
Effective padding of multidimensional arrays to avoid cache conflict misses.
PLDI
Changwan Hong, Wenlei Bao, Albert Cohen, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, J. Ramanujam, P. Sadayappan
2016 — conf
Effective resource management for enhancing performance of 2D and 3D stencils on GPUs.
GPGPU@PPoPP
Prashant Singh Rawat, Changwan Hong, Mahesh Ravishankar, Vinod Grover, Louis-Noël Pouchet, P. Sadayappan
2016 B conf
Resource Conscious Reuse-Driven Tiling for GPUs.
PACT
Prashant Singh Rawat, Changwan Hong, Mahesh Ravishankar, Vinod Grover, Louis-Noël Pouchet, Atanas Rountev, P. Sadayappan
2016 J jnl
Static and Dynamic Frequency Scaling on Multicore CPUs.
ACM Trans. Archit. Code Optim.
Wenlei Bao, Changwan Hong, Sudheer Chunduri, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan