Publications (Google Scholar Citation)

Pedro Valero-Lara, Seyong Lee, Joel E. Denny, Keita Teranishi, Jeffrey S. Vetter, and Marc Gonzalez-Tallada, sKokkos: Enabling Kokkos with Transparent Device Selection on Heterogeneous Systems using OpenACC, The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia), 2024.

Narasinga Rao Miniskar, Beau Johnston, Mohammad Alaul Haque Monil, Aaron Young, Pedro Valero-Lara, Seyong Lee, and Jeffrey Vetter, Intelligent Runtime System (IRIS) with Multi-level Math Library Abstraction (MatRIS) for Heterogeneous Computing, ORNL Software and Data Expo, Poster, 2023.

Norihisa Fujita, Beau Johnston, Ryohei Kobayashi, Keita Teranishi, Seyong Lee, Taisuke Boku, and Jeffrer S. Vetter, CHARM-SYCL: New Unified Programming Environment for Multiple Kinds of Accelerators, Workshop on Redefining Scalability for Diversely Heterogeneous Architectures (RSDHA), in conjunction with SC23, 2023.

Aristotle Martin, Geng Liu, William Ladd, Seyong Lee, John Gounley, Jeffrey Vetter, Saumil Patel, Silvio Rizzi, Victor Mateevitsi, Joseph Insley, Amanda Randles, Performance Evaluation of Heterogenous GPU Programming Frameworks for Hemodynamic Simulations, P3HPC: Performance, Portability & Productivity in HPC, in conjunction to SC23, 2023.

Ryuta Tsunashima, Ryohei Kobayashi, Norihisa Fujita, Taisuke Boku, Seyong Lee, Jeffrey S. Vetter, Hitoshi Murai, Masahiro Nakao, and Mitsuhisa Sato, GPU+FPGA multi-device programming system by OpenACC, IPSJ Transactions on Advanced Computing Systems, 2023.

Taisuke Boku, Ryuta Tsunashima, Ryohei Kobayashi, Nrohisa Fujita, Seyong Lee, Jeffrey S. Vetter, Hitoshi Murai, Masahiro Nakao, Miwako Tsuji, and Mitsuhisa Sato, OpenACC single programming environment for multi-hybrid acceleration with GPU and FPGA, The HPC on Heterogeneous Hardware (H3) Workshop, in conjunction with ISC23, 2023.

Thomas Huber, Swaroop Pophale, Nolan Baker, Michael Carr, Nikhil Rao, Jaydon Reap, Kristina Holsapple, Jushua Hoke Davis, Tobias Burnus, Seyong Lee, David E. Bernholdt, and Sunita Chandrasekaran ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP. P3HPC: Performance, Portability & Productivity in HPC, in conjunction to SC22, 2022.

Thomas Huber, Swaroop Pophale, Nolan Baker, Nikhil Rao, Michael Carr, Jaydon Reap, Kristina Holsapple, Jushua Hoke Davis, Tobias Burnus, Seyong Lee, David E. Bernholdt, and Sunita Chandrasekaran SOLLVE Verification and Validation OpenMP Testsuite. SC 2022: The International Conference for High Performance Computing, Networking, Storage, and Analysis, Poster, 2022.

Pedro Valero-Lara, Seyong Lee, Marc Gonzalez-Tallada, Joel E. Denny, and Jeffrey S. Vetter KokkACC: Enhancing Kokkos with OpenACC. SC 2022: The International Conference for High Performance Computing, Networking, Storage, and Analysis, Poster, 2022.

Pedro Valero-Lara, Seyong Lee, Marc Gonzalez-Tallada, Joel E. Denny, and Jeffrey S. Vetter KokkACC: Enhancing Kokkos with OpenACC. Ninth Workshop on Accelerator Programming Using Directives (WACCPD), in conjunction with SC22 (Best Paper Award), 2022.

Jacob Lambert, Mohammad Alaul Haque Monil, Seyong Lee, Allen Malony, and Jeffrey S. Vetter Leveraging Compiler-Based Translation to Evaluate a Diversity of Exascale Platforms. P3HPC: Performance, Portability & Productivity in HPC, in conjunction to SC22, 2022.

Daniel F. Puleri, Sayan Roychowdhury, Peter Balogh, John Gounley, Erik W. Draeger, Jeffrey Ames, Adebayo Adebiyi, Simbarashe Chidyagwai, Benjamın Hernandez, Seyong Lee, Shirley Moore, Jeffrey S. Vetter, Amanda Randles High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory. IEEE Cluster Conference (Cluster), 2022.

Pedro Valero-Lara, Seyong Lee, Marc Gonzalez-Tallada, Joel E. Denny, and Jeffrey S. Vetter KokkACC: Enhancing Kokkos with OpenACC. ORNL Software and Data Expo, Poster, 2022.

Joel E. Denny, Seyong Lee, and Jeffrey S. Vetter Clacc: OpenACC Support for Clang and LLVM. ORNL Software and Data Expo, Poster, 2022.

Swaroop Pophale, Seyong Lee, David E. Bernholdt, Thomas Huber, Nolan Baker, Kristina Holsapple, Jaydon Reap, Michael Carr, Nikhil Rao, Sunita Chandrasekaran SOLLVE: Validation & Verification Suite for OpenMP. Exascale Computing Project Annual Meeting, Poster, 2022.

Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter, and Allen D. Malony MAPredict: Static Analysis Driven Memory Access Prediction Framework for Modern CPUs. the ISC High Performance (ISC 2022), 2022.

Ryuta Tsunashima, Ryohei Kobayashi, Norihisa Fujita, Taisuke Boku, Seyong Lee, Jeffrey Vetter, Hitoshi Murai, Masahiro Nakao and Mitsuhisa Sato GPU and FPGA Unified Programming of Astrophysics Real Application with OpenACC. The 4th R-CCS International Symposium, Poster, 2022.

Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter, and Allen D. Malony Comparing LLC-memory Traffic between CPU and GPU Architectures. RSDHA: Redefining Scalability for Diversely Heterogeneous Architectures, in conjunction with SC21, 2021.

Anthony Cabrera, Seth Hitefield, Jungwon Kim, Seyong Lee, Narasinga Rao Miniskar, and Jeffrey S. Vetter Toward Performance Portable Programming for Heterogeneous System-on-Chips: Case Study with Qualcomm Snapdragon SoC. The IEEE High Performance Extreme Computing Conference (HPEC), 2021.

Jungwon Kim, Seyong Lee, Beau Johnston, and Jeffrey S. Vetter IRIS: A Portable Runtime System for Diverse Heterogeneous Architectures. The IEEE High Performance Extreme Computing Conference (HPEC), 2021.

Ryuta Tsunashima, Ryohei Kobayashi, Norihisa Fujita, Taisuke Boku, Seyong Lee, Jeffrey Vetter, Hitoshi Murai, Masahiro Nakao and Mitsuhisa Sato Multi-device Programming Environment for GPU and FPGA Cooperative Acceleration. The 3rd R-CCS International Symposium (RCCS-IS3), Poster, 2021.

Blaise Tine, Seyong Lee, Jeffrey Vetter, and Hyesoon Kim Bringing OpenCL to Commodity RISC-V CPUs. The Fifth Workshop on Computer Architecture Research with RISC-V (CARRV 2021), in conjunction with ISCA20 , 2021.

Jacob Lambert, Seyong Lee, Jeffrey S. Vetter, and Allen D. Malony Optimization with the OpenACC-to-FPGA Framework on the Arria 10 and Stratix 10 FPGAs. Journal of Parallel Computing (ParCO), 2021.

Anthony M. Cabrera, Aaron R. Young, Jacob Lambert, Zhili Xiao, Amy An, Seyong Lee, Zheming Jin, Jungwon Kim, Jeremy Buhler, Roger D. Chamberlain, and Jeffrey S. Vetter Towards Evaluating High-Level Synthesis Portability and Performance Between Intel and Xilinx FPGAs. 9th International Workshop on OpenCL and SYCL (IWOCL), 2021.

Gregory Herschlag, Seyong Lee, Jeffrey S. Vetter, and Amanda Randles Analysis of GPU Data Access Patterns on Complex Geometries for the D3Q19 Lattice Boltzmann Algorithm. Transactions on Parallel and Distributed Systems (TPDS), 2021.

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. Workshop on Programming and Performance Visualization Tools (ProTools 20), in conjunction with SC20, 2020.

Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter, and Allen D. Malony Understanding the Impact of Memory Access Patterns in Intel Processors. MCHPC20: Workshop on Memory Centric High Performance Computing, in conjunction with SC20, 2020.

Mohammad Alaul Haque Monil, Mehmet E. Belviranli, Seyong Lee, Jeffrey S. Vetter, and Allen D. Malony Modeling Energy-Performance in Heterogeneous SOCs and Their Trade-Offs. The International Conference on Parallel Architectures and Compilation Techniques (PACT), 2020.

Jacob Lambert, Seyong Lee, Jeffrey S. Vetter, and Allen D. Malony CCAMP: An Integrated Translation and Optimization Framework for OpenACC and OpenMP. SC 2020: The International Conference for High Performance Computing, Networking, Storage, and Analysis, 2020.

Ryuta Tsunashima, Ryohei Kobayashi, Norihisa Fujita, Taisuke Boku, Seyong Lee, Jeffrey Vetter, Hitoshi Murai, Masahiro Nakao and Mitsuhisa Sato OpenACC unified programming environment for GPU and FPGA multi-hybrid acceleration. 13th International Symposium on High-level Parallel Programming and Applications (HLPP), Porto, Portugal, July, 2020.

Jacob Lambert, Seyong Lee, Jeffrey S. Vetter, and Allen D. Malony In-Depth Optimization with the OpenACC-to-FPGA Framework on an Arria 10 FPGA. The Nineth International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), in conjunction with IPDPS20, New Orleans, LA, USA, 2020.

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, Fares Elsabbagh, Seyong Lee, Jeffrey Vetter, and Hyesoon Kim. Cash: A Single-Source Hardware-Software Codesign Framework for Rapid Prototyping. 28th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA 2020), Poster, Seaside, California, 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.

David E. Bernholdt, Wael R. Elwasif, Christos Kartaklis, Seyong Lee, and Tiffany M. Mintz, Programmer-Guided Reliability for Extreme-Scale Applications, 1st International Workshop on Fault Tolerant Systems (FTS) in conjunction with IEEE Cluster, 2015.

Joel E. Denny, Seyong Lee, and Jeffrey S. Vetter, FITL: extending LLVM for the translation of fault-injection directives, Proceedings of the Second Workshop on the LLVM Compiler Infrastructure in HPC (LLVM) in conjunction with SC15, 2015.

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.

Seyong Lee, Jeremy S. Meredith, and Jeffrey S. Vetter, COMPASS: A Framework for Automated Performance Modeling and Prediction, ACM International Conference on Supercomputing (ICS15), 2015.

Jungwon Kim, Seyong Lee, and Jeffrey S. Vetter, An OpenACC-based Unified Programming Model for Multi-accelerator Systems, Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), Poster, 2015.

Sarat Sreepathi, Megan Grodowitz, Robert Lim, Philip Taffet, Philip Roth, Jeremy Meredith, Seyong Lee, Dong Li, and Jeffrey S. Vetter, Application Characterization using Oxbow Toolkit and PADS Infrastructure, First International Workshop on Hardware-Software Co-Design for High Performance Computing (Co-HPC) in conjunction with SC14, 2014.

Seyong Lee and Jeffrey S. Vetter, OpenARC: Extensible OpenACC Compiler Framework for Directive-Based Accelerator Programming Study, Workshop on Accelerator Programming Using Directives (WACCPD) in conjunction with SC14, 2014.

Amit Sabne, Putt Sakdhnagool, Seyong Lee, and Jeffrey S. Vetter, Evaluating Performance Portability of OpenACC, The 27th International Workshop on Languages and Compilers for Parallel Computing (LCPC), 2014.

Seyong Lee and Jeffrey S. Vetter, OpenARC: Open Accelerator Research Compiler for Directive-Based, Efficient Heterogeneous Computing, Proceedings of the ACM Symposium on High-Performance and Distributed Computing (HPDC), Short Paper, 2014.

Seyong Lee, Dong Li, and Jeffrey S. Vetter, Interactive Program Debugging and Optimization for Directive-Based, Efficient GPU Computing, IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2014.

Seyong Lee and Jeffrey S. Vetter, OpenARC: Open Accelerator Research Compiler for Directive-Based, Heterogeneous Computing, GPU Technology Conference (GTC), Poster, 2014.

Dong Li, Seyong Lee, and Jeffrey S. Vetter, Evaluate the Viability of Application-Driven Cooperative CPU/GPU Fault Detection, Workshop on Resiliency in High Performance Computing in conjunction with Euro-Par, 2013.

Jeffrey S. Vetter, Seyong Lee, Dong Li, Gabriel Marin, Jeremy Meredith, Philip C. Roth, and Kyle Spafford, Quantifying Architectural Requirements of Contemporary Extreme-Scale Scientific Applications, International Workshop on performance modeling, benchmarking and simulation of high performance computer systems (PMBS) in conjunction with SC13, 2013

Seyong Lee and Rudolf Eigenmann, OpenMPC: Extended OpenMP for Efficient Programming and Tuning on GPUs , International Journal of Computational Science and Engineering, 2013.

Seyong Lee and Jeffrey S. Vetter, Early Evaluation of Directive-Based GPU Programming Models for Productive Exascale Computing, SC12: ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis , November 2012.

Seyong Lee, Toward Compiler-Driven Adaptive Execution, LAMBERT Academic Publishing, ISBN 978-3-659-20487-6, 2012

Faraz Ahmad, Seyong Lee, Mithuna Thottethodi, and T. N. VijayKumar, MapReduce with Communication Overlap (MaRCO) , Journal of Parallel and Distributed Computing (JPDC), 2012.

Kyle Spafford, Jeremy S. Meredith, Seyong Lee, Dong Li, Philip C. Roth, and Jeffrey S. Vetter, The Tradeoffs of Fused Memory Hierarchies in Heterogeneous Computing Architectures, the Proceedings of the ACM International Conference on Computing Frontiers , May 2012.

Seyong Lee and Jeffrey S. Vetter, Moving Heterogeneous GPU Computing into the Mainstream with Directive-Based, High-Level Programming Models (Position Paper), DOE Exascale Research Conference , April 2012.

Seyong Lee and Rudolf Eigenmann, OpenMPC: Extended OpenMP Programming and Tuning for GPUs , SC10: ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (Best Student Paper Award), November 2010.

Chirag Dave, Hansang Base, Seung-Jai Min, Seyong Lee, Rudolf Eigenmann, and Samuel Midkiff, Cetus: A Source-to-Source Compiler Infrastructure for Multicores , IEEE Computer Vol. 42, no. 12, pp. 36-42 December 2009.

Seyong Lee, Seung-Jai Min, and Rudolf Eigenmann, OpenMP to GPGPU: A Compiler Framework for Automatic Translation and Optimization , Symposium on Principles and Practice of Parallel Programming (PPoPP'09), February 2009.

H. Bae, L. Bachega, S. Lee, Seyong Lee, S.-J. Min, R. Eigenmann, and S. Midkiff, Cetus: A Source-to-source Compiler Infrastructure for Multicores , 14th Workshop on Compilers for Parallel Computing (CPC'09) , January 2009.

Seyong Lee and Rudolf Eigenmann, Adaptive Runtime Tuning of Parallel Sparse Matrix-Vector Multiplication on Distributed Memory Systems , 22nd ACM International Conference on Supercomputing (ICS) , June 2008.

Seyong Lee and Rudolf Eigenmann, Adaptive Tuning in a Dynamically Changing Resource Environment , Workshop on National Science Foundation Next Generation Software Program (NSFNGS) held in conjunction with the IEEE International Parallel & Distributed Processing Symposium (IPDPS) , April 2008.

Seyong Lee, Xiaojuan Ren, and Rudolf Eigenmann, Efficient Content Search in iShare, a P2P based Internet-Sharing System , 2nd Workshop on Large-scale, volatile Desktop Grids (PCGrid) held in conjunction with the IEEE International Parallel & Distributed Processing Symposium (IPDPS) , April 2008.

Xiaojuan Ren, Seyong Lee, Rudolf Eigenmann and Saurabh Bagchi, Prediction of Resource Availability in Fine-Grained Cycle Sharing Systems and Empirical Evaluation , Journal of Grid Computing Volume 5, Number 2, pp173-195 , June 2007.

Xiaojuan Ren, Seyong Lee, Rudolf Eigenmann and Saurabh Bagchi, Resource Failure Prediction in Fine-Grained Cycle Sharing Systems , The 15th IEEE International Symposium on High Performance Distributed Computing (Nominated for Best Paper Award), June 2006.

Xiaojuan Ren, Seyong Lee, Saurabh Bagchi, and Rudolf Eigenmann Resource Failure Prediction in Fine-Grained Cycle Sharing Systems , DSN-2005: The International Conference on Dependable Systems and Networks, Fast Abstracts , June 2005.