Seyong Lee

Seyong Lee

Computer Scientist in Future Technologies Group, Oak Ridge National Laboratory

CV :
Address :

PDF
5100, MS 6173
P. O. Box 2008
Oak Ridge, TN 37831-9984

E-Mail Address:

lees2 AT ornl DOT gov

Research Interest

Parallel Programming and Compile-time/Runtime Performance Optimization on emerging hardware architectures including multi-cores and hardware accelerators

Program Analysis and Optimizing Compiler for high-performance computing

Internet Computing / Grid Computing and Sharing

Education

Ph.D., School of ECE, Purdue University, West Lafayette, IN (May 2011)
Advisor: Professor Rudolf Eigenmann

M.S., School of ECE, Purdue University, West Lafayette, IN (May 2004)
Advisor: Professor Rudolf Eigenmann

B.S., School of Electrical Engineering, Seoul National University, South Korea (Feb. 1999)
Advisor: Professor Beom Hee Lee

Research Projects

Cosmic Castle: DARPA Domain Specific Systems on a Chip

RAPIDS: SciDAC Institute for Computer Science and Data

PROTEAS: PROgramming Toolchain for Emerging Architectures and Systems

CLACC: OpenACC Support in Clang and LLVM

OpenARC: Open Accelerator Research Compiler

Aspen: Abstract Scalable Performance Engineering Notation

ARES: Abstract Representations for the Extreme-Scale Stack

Vancouver: Productivity software for scalable heterogeneous computing

Oxbow: Application Characterization and Performance Analytics for Exascale Co-Design

Productive GPU Programming Environment

OpenMP to GPU: Automatic translation and adaptation of OpenMP-based shared-memory programs onto GPUs

ATune: Compiler-Driven Adaptive Execution

Created a tuning system, which adaptively optimizes MPI applications in a distributed system.
This project is parts of a larger effort that aims at creating a global information sharing system, where resources, such as software applications, computer platforms, and information can be shared, discovered, adapted to local needs.

iShare: Internet-sharing middleware and collaboration

Developed domain-specific ranking and content search mechanisms for P2P-based Grid environment.
Developed resource-availability-prediction mechanism for fine-grained cycle sharing system.

MaRCO: MapReduce with Communication Overlap

Developed efficient communication overlapping mechanisms to increase the performance of Google's MapReduce system.

Professional Service

Member of the OpenACC Technical Committee and Test-Suite Committee (OpenACC-standard.org)

Member of OpenMP Language Committee and OpenMP Accelerator Subcommittee

Member of SEED Review Committee, Computer Science and Mathematics Division, Oak Ridge National Laboratory

Member of Science Council, Computer Science and Mathematics Division, Oak Ridge National Laboratory

Member of the NVIDIA PathForward Working Group, Exascale Computing Project PathForward Program

Award Committee Member for 2017 IEEE CS TCHPC Award for Excellence for Early Career Researchers in High Performance Computing, 2017

Award Committee Member for 2018 Computer Science and Mathematics Division Awards, 2018

Science and Innovation Culture Metric Committee, Computing and Computational Science Directorate, Oak Ridge National Laboratory, 2016

Guest Editor for the Special Issue on "High Performance Reconfigurable Computing" in Journal of Algorithms

Program Committee Member : SC (2018), ASPLOS (2018), IPDPS(2017, 2018, and 2019), PACT (2019), HiPC (2019), Euro-Par (2017 and 2019), ICPADS(2013, 2014, 2015, 2016, and 2017), PPoPP (2014 and 2020), CCGrid (2015, 2016, and 2017), ADVCOMP (2017 and 2018), ICPP (2013), CANDAR (2016), PLC (2015), WRAp (2015, 2017, and 2018), WACCPD (2014, 2015, 2016, 2017, 2018, and 2019), AsHES (2016, 2017, 2018, and 2019), LHAM (2016, 2017, and 2018), CSA (2019), ISPA (2017 and 2018), IPCCC (2018 and 2019), HIPS (2019), ISC (2019), REFAC (2019), LCPC (2019)

External Reviewer (Journals, Conferences, Workshops, and research proposals)

Journals: IEEE Micro (2017), IJHPC (2012, 2015, 2016, and 2018), TPDS (2014, 2016, and 2018), IJPP (2018), ToMPECS (2015), ParCo (2013, 2015, 2017, and 2018), CyS (2015), JPDC (2009), ACMTACO (2013 and 2014), SOSYM (2011), SPE (2010 and 2019), TWMS (2017), JES (2017), IJHPCN (2017), Computers (2017), TC (2017), FGCS (2018), OpenCS (2018), SoftwareX (2018 and 2019), VLSI (2018), Scientific Programming (2019), IEEE Access (2019)

Conferences: PACT (2010 and 2012), PLDI (2011), IPDPS (2010 and 2013), ICS (2008, 2011, 2013, and 2016), SC (2007 and 2013), CGO (2013 and 2014), HiPC (2009 and 2010), ICDCS (2006), ICPE (2011), GPC (2007 and 2008), INPAR (2012), ICPP (2019)

Workshops: LCPC (2006, 2007, 2011, and 2014), IWOMP (2007, 2009, and 2011), APPT (2011), PCGrid (2008), EPHAM (2008 and 2009)

Research Proposals: The General Research Fund, the Research Grants Council of Hong Kong (2011), Department of Energy (DOE) Office of Science Small Business Innovation Research (SBIR) & Small Business Technology Transfer (STTR) program (2015), Natural Sciences and Engineering Research Council of Canada (NSERC) (2019)

Recent Publications (Full Publication List)

Roberto Gioiosa, Burcu O. Mutlu, Seyong Lee, Jeffrey S. Vetter, Giulio Picierro, and Marco Cesati. The Minos Computing Library: Efficient Parallel Programming for Extremely Heterogeneous Systems. Proceedings of the 13th Annual Workshop on General Purpose Processing using Graphics Processing Unit (GPGPU'20), in conjunction with PPoPP20, San Diego, CA, USA, 2020
Blaise Tine, Seyong Lee, Jeffrey Vetter, and Hyesoon Kim. Productive Hardware Designs using Hybrid HLS-RTL Development. 28th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA 2020), Poster, Seaside, California, USA, 2020.
Ryuta Tsunashima, Ryohei Kobayashi, Norihisa Fujita, Ayumi Nakamichi, Taisuke Boku, Seyong Lee, Jeffrey Vetter, Hitoshi Murai, and Mitsuhisa Sato. Enabling OpenACC Programming on Multi-hybrid Accelerated with GPU and FPGA. International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2020), Poster, Fukuoka, Japan, 2020.
Forrest Shriver, Seyong Lee, Steven Hamilton, Justin Watson, and Jeffrey Vetter. Enhancing Monte Carlo proxy applications on GPUs, 10th IEEE International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS19), in conjunction with SC19,, Denver, Colorado, USA, 2019.
Forrest Shriver, Seyong Lee, Steven Hamilton, Jeffrey Vetter, and Justin Watson. VEXS, An Open Platform for the Study of Continuous-Energy Neutron Transport Cross-Section Lookup Algorithms on GPUs, MC19: International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, Portland, Oregon, USA, 2019.
David Ojika, Ann Gordon-Ross, Herman Lam, Shinjae Yoo, Younggang Cui, Zhihua Dong, Kirstin Kleese Van Dam, Seyong Lee, and Thorsten Kurth. PCS: A Productive Computational Science Platform, International Workshop on Exploitation of High Performance Heterogeneous Architectures and Accelerators (WEHA), in conjunction with HPCS19, Dublin, Ireland, 2019.
Jacob Lambert, Seyong Lee, Allen D. Malony, and Jeffrey S. Vetter. CCAMP: OpenMP and OpenACC Interoperable Framework, Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar), in conjunction with Euro-Par19, Gõttingen, Germany, 2019.
Seyong Lee, John Gounley, Amanda Randles, and Jeffrey S. Vetter. Performance Portability Study for Massively Parallel Computational Fluid Dynamics Application on Scalable Heterogeneous Architectures, Journal of Parallel and Distributed Computing (JPDC), 2019.
Joel E. Denny, Seyong Lee, and Jeffrey S. Vetter. Clacc: Translating OpenACC to OpenMP in Clang, IEEE/ACM 5th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC), in conjunction with SC18, Dallas, Texas, USA, 2018
Mehmet E. Belviranli, Seyong Lee, and Jeffrey S. Vetter. Programming the EMU Architecture: Algorithm Design Considerations for Migratory-threads-based Systems , SC18: ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Poster, Dallas, Texas, USA, 2018.
Seyong Lee, Jacob Lambert, Jungwon Kim, Jeffrey S. Vetter, and Allen D. Malony. OpenACC to FPGA: A Directive-Based High-Level Programming Framework for High-Performance Reconfigurable Computing, SC18: ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Poster, Dallas, Texas, USA, 2018.
Pak Markthub, Mehmet E. Belviranli, Seyong Lee, Jeffrey S. Vetter, and Satoshi Matsuoka. DRAGON: Breaking GPU Memory Capacity Limits with Direct NVM Access, SC18: ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, Texas, USA, 2018.
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 27, Pages 15-27, 2018.
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.
Jacob B. Lambert, Seyong Lee, Jungwon Kim, and Jeffrey S. Vetter. High-Level Programming and Optimizations for High-Performance Computing with FPGAs, 32nd ACM International Conference on Supercomputing (ICS), Beijing, China, 2018.
Ivy Bo Peng, Jeffrey S. Vetter, Shirley V. Moore, and Seyong Lee. Tuyere: Enabling Scalable Memory Workloads for System Exploration, Proceedings of the ACM Symposium on High-Performance and Distributed Computing (HPDC), Tempe, Arizona, USA, 2018.
Pak Markthub, Mehmet E. Belviranli, Seyong Lee, Jeffrey S. Vetter, and Satoshi Matsuoka, Efficiently Enlarging GPU Memory Capacity with NVM, GPU Technology Conference, Poster, San Jose, California, USA, 2018.
Mehmet E. Belviranli, Seyong Lee, Jeffrey S. Vetter, and Laxmi N. Bhuyan. Juggler: A Dependency-Aware Task Based Execution Framework for GPUs, Proceedings of ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), Vösendorf/Wien, Austria, 2018.
Gregory Herschlag, Amanda Randles, Seyong Lee, and Jeffrey S. Vetter. GPU Data Access on Complex Geometries for D3Q19 Lattice Boltzmann Method, 32th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Vancouver, British Columbia, CANADA, 2018.
Kaixi Hou, Hao Wang, Wu-chun Feng, Jeffrey S. Vetter, and Seyong Lee. Highly Efficient Compensation-based Parallelism for Wavefront Loops on GPUs, 32th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Vancouver, British Columbia, CANADA, 2018.
Seyong Lee. A Framework for Directive-Based High-Performance Reconfigurable Computing, OpenACC for Programmers: Concepts and Strategies, Book Chapter, 2017.
Jungwon Kim, Seyong Lee, and Jeffrey S. Vetter. PapyrusKV: A High-Performance Parallel Key-Value Store for Distributed NVM Architectures, SC17: ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, Colorado, USA, November 2017. (61/327, 18.6%)
Michael Wolfe, Seyong Lee, Jungwon Kim, Xiaonan Tian, Rengan Xu, Sunita Chandrasekaran, and Barbara Chapman, Implementing the OpenACC Data Model, The Seventh International Workshop on Accelerators and Hybrid Exascale Systems (AsHES) in conjunction with IPDPS17, 2017.
Joel E. Denny, Seyong Lee, and Jeffrey S. Vetter, Language-Based Optimizations for Persistence on Nonvolatile Main Memory Systems, 31th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2017.
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.
David E. Bernholdt, Wael R. Elwasif, Christos Kartaklis, Seyong Lee, and Tiffany M. Mintz, Programmer-Guided Reliability for Extreme-Scale Applications, International Journal of High Performance Computing Applications, 2016.
Joel E. Denny, Seyong Lee, and Jeffrey S. Vetter, NVL-C: Static Analysis Techniques for Efficient, Correct Programming of Non-Volatile Main Memory Systems, Proceedings of the ACM Symposium on High-Performance and Distributed Computing (HPDC), 2016.
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.
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.