Seyong Lee Senior R&D Staff Contact LEES2@ORNL.GOV All Publications Analysis of GPU Data Access Patterns on Complex Geometries for the D3Q19 Lattice Boltzmann Algorithm The OpenACC data model: Preliminary study on its major challenges and implementations Directive-Based, High-Level Programming and Optimizations for High-Performance Computing with FPGAs Highly Efficient Compensation-Based Parallelism for Wavefront Loops on GPUs GPU Data Access on Complex Geometries for D3Q19 Lattice Boltzmann Method Juggler: a dependence-aware task-based execution framework for GPUs PapyrusKV: A High-Performance Parallel Key-Value Store for Distributed NVM Architectures Language-Based Optimizations for Persistence on Nonvolatile Main Memory Systems... Design and Implementation of Papyrus: Parallel Aggregate Persistent Storage NVL-C: Static Analysis Techniques for Efficient, Correct Programming of Non-Volatile Main Memory Systems OpenACC to FPGA: A Framework for Directive-based High-Performance Reconfigurable Computing IMPACC: A Tightly Integrated MPI+OpenACC Framework Exploiting Shared Memory Parallelism Understanding Portability of a High-Level Programming Model on Contemporary Heterogeneous Architectures... COMPASS: A Framework for Automated Performance Modeling and Prediction... OpenARC: Open Accelerator Research Compiler for Directive-Based, Efficient Heterogeneous Computing Interactive Program Debugging and Optimization for Directive-Based, Efficient GPU Computing... Early Evaluation of Directive-Based GPU Programming Models for Productive Exascale Computing IRIS-GNN: Leveraging Graph Neural Networks for Scheduling on Truly Heterogeneous Runtime Systems... Exploring code portability solutions for HEP with a particle tracking test code CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems IRIS: A Performance-Portable Framework for Cross-Platform Heterogeneous Computing Clacc: OpenACC for C/C++ in Clang IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming Application of performance portability solutions for GPUs and many-core CPUs to track reconstruction kernels IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies Pagination Current page 1 Page 2 Page 3 Next page ›â¶Äº Last page Last » Key Links Curriculum Vitae
