Changwan Hong

According to our database, Changwan Hong authored at least 28 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Finch: Sparse and Structured Tensor Programming with Control Flow: The Artifact.

Willow Ahrens, Radha Patel, Teodoro Fields Collin, Kyle Deeds, Changwan Hong, Saman P. Amarasinghe

Dataset, February, 2025

Finch: Sparse and Structured Tensor Programming with Control Flow: The Artifact.

Willow Ahrens, Radha Patel, Teodoro Fields Collin, Kyle Deeds, Changwan Hong, Saman P. Amarasinghe

Dataset, January, 2025

Finch: Sparse and Structured Tensor Programming with Control Flow: The Artifact.

Willow Ahrens, Radha Patel, Teodoro Fields Collin, Kyle Deeds, Changwan Hong, Saman P. Amarasinghe

Dataset, January, 2025

Finch: Sparse and Structured Tensor Programming with Control Flow: The Artifact.

Willow Ahrens, Radha Patel, Teodoro Fields Collin, Kyle Deeds, Changwan Hong, Saman P. Amarasinghe

Dataset, January, 2025

Finch: Sparse and Structured Tensor Programming with Control Flow.

Willow Ahrens, Teodoro Fields Collin, Radha Patel, Kyle Deeds, Changwan Hong, Saman P. Amarasinghe

Proc. ACM Program. Lang., 2025

2024

Finch: Sparse and Structured Array Programming with Control Flow.

Willow Ahrens, Teodoro Fields Collin, Radha Patel, Kyle Deeds, Changwan Hong, Saman P. Amarasinghe

CoRR, 2024

2023

Unified Convolution Framework: A compiler-based approach to support sparse convolutions.

Jaeyeon Won, Changwan Hong, Charith Mendis, Joel S. Emer, Saman P. Amarasinghe

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

2021

Taming the Zoo: The Unified GraphIt Compiler Framework for Novel Architectures.

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

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Compiling Graph Applications for GPU s with GraphIt.

Ajay Brahmakshatriya, Yunming Zhang, Changwan Hong, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

2020

ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms.

Laxman Dhulipala, Changwan Hong, Julian Shun

Proc. VLDB Endow., 2020

A sparse iteration space transformation framework for sparse tensor algebra.

Ryan Senanayake, Changwan Hong, Ziheng Wang, Amalee Wilson, Stephen Chou, Shoaib Kamil, Saman P. Amarasinghe, Fredrik Kjolstad

Proc. ACM Program. Lang., 2020

Compliation Techniques for Graphs Algorithms on GPUs.

Ajay Brahmakshatriya, Yunming Zhang, Changwan Hong, Shoaib Kamil, Julian Shun, Saman P. Amarasinghe

CoRR, 2020

A Unified Iteration Space Transformation Framework for Sparse and Dense Tensor Algebra.

Ryan Senanayake, Fredrik Kjolstad, Changwan Hong, Shoaib Kamil, Saman P. Amarasinghe

CoRR, 2020

A novel data transformation and execution strategy for accelerating sparse matrix multiplication on GPUs.

Peng Jiang, Changwan Hong, Gagan Agrawal

Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

Exploring the Design Space of Static and Incremental Graph Connectivity Algorithms on GPUs.

Changwan Hong, Laxman Dhulipala, Julian Shun

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019

Adaptive sparse tiling for sparse matrix multiplication.

Changwan Hong, Aravind Sukumaran-Rajam, Israt Nisa, Kunal Singh, P. Sadayappan

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

2018

Performance modeling for GPUs using abstract kernel emulation.

Changwan Hong, Aravind Sukumaran-Rajam, Jinsung Kim, Prashant Singh Rawat, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan

Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018

GPU code optimization using abstract kernel emulation and sensitivity analysis.

Changwan Hong, Aravind Sukumaran-Rajam, Jinsung Kim, Prashant Singh Rawat, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan

Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

TTLG - An Efficient Tensor Transposition Library for GPUs.

Jyothi Vedurada, Arjun Suresh, Aravind Sukumaran-Rajam, Jinsung Kim, Changwan Hong, Ajay Panyala, Sriram Krishnamoorthy, V. Krishna Nandivada, Rohit Kumar Srivastava, P. Sadayappan

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Optimizing Tensor Contractions in CCSD(T) for Efficient Execution on GPUs.

Jinsung Kim, Aravind Sukumaran-Rajam, Changwan Hong, Ajay Panyala, Rohit Kumar Srivastava, Sriram Krishnamoorthy, P. Sadayappan

Proceedings of the 32nd International Conference on Supercomputing, 2018

Efficient sparse-matrix multi-vector product on GPUs.

Changwan Hong, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Jinsung Kim, Süreyya Emre Kurt, Israt Nisa, Shivani Sabhlok, Ümit V. Çatalyürek, Srinivasan Parthasarathy, P. Sadayappan

Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

Sampled Dense Matrix Multiplication for High-Performance Machine Learning.

Israt Nisa, Aravind Sukumaran-Rajam, Süreyya Emre Kurt, Changwan Hong, P. Sadayappan

Proceedings of the 25th IEEE International Conference on High Performance Computing, 2018

2017

Characterization of Data Movement Requirements for Sparse Matrix Computations on GPUs.

Süreyya Emre Kurt, Vineeth Thumma, Changwan Hong, Aravind Sukumaran-Rajam, P. Sadayappan

Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017

MultiGraph: Efficient Graph Processing on GPUs.

Changwan Hong, Aravind Sukumaran-Rajam, Jinsung Kim, P. Sadayappan

Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017

2016

Static and Dynamic Frequency Scaling on Multicore CPUs.

Wenlei Bao, Changwan Hong, Sudheer Chunduri, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, P. Sadayappan

ACM Trans. Archit. Code Optim., 2016

Effective resource management for enhancing performance of 2D and 3D stencils on GPUs.

Prashant Singh Rawat, Changwan Hong, Mahesh Ravishankar, Vinod Grover, Louis-Noël Pouchet, P. Sadayappan

Proceedings of the 9th Annual Workshop on General Purpose Processing using Graphics Processing Unit, 2016

Effective padding of multidimensional arrays to avoid cache conflict misses.

Changwan Hong, Wenlei Bao, Albert Cohen, Sriram Krishnamoorthy, Louis-Noël Pouchet, Fabrice Rastello, J. Ramanujam, P. Sadayappan

Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2016

Resource Conscious Reuse-Driven Tiling for GPUs.

Prashant Singh Rawat, Changwan Hong, Mahesh Ravishankar, Vinod Grover, Louis-Noël Pouchet, Atanas Rountev, P. Sadayappan

Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016