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Camille Coti, Joel E. Denny, Kevin Huck, Seyong Lee, Allen D. Malony, Sameer Shende, and Jeffrey S. Vetter, "OpenACC Profiling Support for Clang and LLVM using Clacc and TAU," 2020 IEEE/ACM International Workshop on HPC User Support Tools (HUST) and Workshop on Programming and Performance Visualization Tools (ProTools), GA, USA, 2020, pp. 38-48, doi: 10.1109/HUSTProtools51951.2020.00012.
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PapyrusKV: A High-Performance Parallel Key-Value Store for Distributed NVM Architectures November 2017 International Conference for High Performance Computing (SC) DOI: 10.1145/3126908.3126943
Jungwon Kim and Jeffrey S Vetter
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Mehmet E. Belviranli, Seyong Lee, and Jeffrey S. Vetter, Designing Algorithms for the EMU Migrating-threads-based Algorithms, HPEC18: IEEE High Performance Extreme Computing Conference, Best Paper Finalist, September 2018
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Michael Wolfe, Seyong Lee, Jungwon Kim, Xiaonan Tian, Rengan Xu, Barbara Chapman, Sunita Chandrasekaran, The OpenACC data model: Preliminary study on its major challenges and implementations, Parallel Computing: systems & applications Volume 78, Pages 15-27, October 2018
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Pak Markthub, Mehmet E. Belviranli, Seyong Lee, Jeffrey S. Vetter, and Satoshi Matsuoka, DRAGON: Breaking GPU Memory Capacity Limits with Direct NVM Access, SC 2018: The International Conference for High Performance Computing, Networking, Storage, and Analysis, November 2018
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Clacc: Translating OpenACC to OpenMP in Clang, Joel E. Denny, Seyong Lee, and Jeffrey S. Vetter, 2018 IEEE/ACM 5th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC), Dallas, TX, USA, (2018).
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Jacob B. Lambert, Seyong Lee, Jungwon Kim, Jeffrey S. Vetter, and Allen D. Malony, Directive-based, High-Level Programming and Optimizations for High-Performance Computing with FPGAs, ICS 2018: The 32nd ACM International Conference on Supercomputing, June 2018.
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Ivy Bo Peng, Jeffrey S. Vetter, Shirley V. Moore, and Seyong Lee, Exploring Tuyere: Enabling Scalable Memory Workloads for System Exploration, HPDC18: The 27th International Symposium on High-Performance Parallel and Distributed Computing, June 2018. DOI: 10.1145/3208040.3208057
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Mehmet E. Belviranli, Seyong Lee, Jeffrey S. Vetter, and Laxmi N. Bhuyan. 2018. Juggler: a dependence-aware task-based execution framework for GPUs. In Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP '18). ACM, New York, NY, USA, 54-67.
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Jungwon Kim, Kittisak Sajjaponse, Seyong Lee, and Jeffrey S. Vetter, Design and Implementation of Papyrus: Parallel Aggregate Persistent Storage, 31th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2017.
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Language-Based Optimizations for Persistence on Nonvolatile Main Memory Systems, Joel E. Denny, Seyong Lee, and Jeffrey S. Vetter, 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Orlando, FL, USA, (2017).
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Jungwon Kim, Seyong Lee, and Jeffrey S. Vetter, IMPACC: A Tightly Integrated MPI+OpenACC Framework Exploiting Shared Memory Parallelism, Proceedings of the ACM Symposium on High-Performance and Distributed Computing (HPDC), 2016.
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NVL-C: Static Analysis Techniques for Efficient, Correct Programming of Non-Volatile Main Memory Systems, Joel E. Denny, Seyong Lee, and Jeffrey S. Vetter, ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC), Kyoto, Japan, (2016).
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Seyong Lee, Jungwon Kim, and Jeffrey S. Vetter, OpenACC to FPGA: A Framework for Directive-Based High-Performance Reconfigurable Computing, 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2016.
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Amit Sabne, Putt Sakdhnagool, Seyong Lee, and Jeffrey S. Vetter, Understanding Portability of a High-level Programming Model on Contemporary Heterogeneous Architectures, IEEE Micro, 2015.