Publications

Parla: A Python Orchestration System for Heterogeneous Architectures

Published in Proceedings of the IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2022

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Recommended citation: Hochan Lee, William Ruys, Ian Henriksen, Arthur Peters, Yineng Yan, Sean Stephens, Bozhi You, Henrique Fingler, Martin Burtscher, Milos Gligoric, Karl Schulz, Keshav Pingali, Christopher J. Rossbach, Mattan Erez, and George Biros. (2022). "Parla: A Python Orchestration System for Heterogeneous Architectures." Proceedings of the IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, November 2022.

Efficient Distribution For Deep Learning On Large Graphs

Published in Workshop on Graph Neural Networks and Systems (GNNSys), 2021

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Recommended citation: Loc Hoang, Xuhao Chen, Hochan Lee, Roshan Dathathri, and Keshav Pingali. (2021). "Efficient Distribution For Deep Learning On Large Graphs." Workshop on Graph Neural Networks and Systems (GNNSys), April 2021.

A Study of APIs for Graph Analytics Workloads

Published in Proceedings of the IEEE International Symposium on Workload Characterization (IISWC), 2020

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Recommended citation: Hochan Lee, David Wong, Loc Hoang, Roshan Dathathri, Gurbinder Gill, Vishwesh Jatala, David Kuck, and Keshav Pingali. (2020). " A Study of APIs for Graph Analytics Workloads." Proceedings of the 2020 IEEE International Symposium on Workload Characterization, October 2020.

Verification of Coarse-Grained Reconfigurable Arrays through Random Test Programs

Published in Proceedings of the ACM SIGPLAN/SIGBED Conference on Language, Compilers, and Tools for Embedded Systesm (LCTES), 2018

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Recommended citation: Bernhard Egger, Eunjin Song, Hochan Lee, and Daeyong Shin. (2018). "Verification of Coarse-Grained Reconfigurable Arrays through Random Test Programs." Proceedings of the 2018 ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), June 2018.

Improving Energy Efficiency of Coarse-Grained Reconfigurable Arrays through Modulo Schedule Compression/Decompression

Published in ACM Transactions on Architecture and Code Optimization (TACO), 2018

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Recommended citation: Hochan Lee, Mansureh S. Moghaddam, Dongkwan Suh, and Bernhard Egger. (2018). "Improving Energy Efficiency of Coarse-Grained Reconfigurable Arrays through Modulo Schedule Compression/Decompression." ACM Transactions on Architecture and Code Optimization (TACO), April 2018.

A Space- and Energy- Efficient Code Compression/Decompression Technique for Coarse-Grained Reconfigurable Architecture

Published in Proceedings of the International Symposium on Code Generation and Optimization (CGO), 2017

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Recommended citation: Bernhard Egger, Hochan Lee, Duseok Kang, Mansureh S. Moghaddam, Youngchul Cho, Yeonbok Lee, Sukjin Kim, Soonhoi Ha, and Kiyoung Choi. (2017). "A Space- and Energy- Efficient Code Compression/Decompression Technique for Coarse-Grained Reconfigurable Architecture." Proceedings of the 2017 International Symposium on Code Generation and Optimization (CGO), February 2017.