Seyong Lee Senior R&D Staff Contact LEES2@ORNL.GOV All Publications IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies eCC++ : A Compiler Construction Framework for Embedded Domain-Specific Languages sKokkos: Enabling Kokkos with Transparent Device Selection on Heterogeneous Systems using OpenACC Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types OpenACC Unified Programming Environment for Multi-hybrid Acceleration with GPU and FPGA... ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP Leveraging Compiler-Based Translation to Evaluate a Diversity of Exascale Platforms KokkACC: Enhancing Kokkos with OpenACC High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory MAPredict: Static Analysis Driven Memory Access Prediction Framework for Modern CPUs Comparing LLC-Memory Traffic between CPU and GPU Architectures IRIS: A Portable Runtime System Exploiting Multiple Heterogeneous Programming Systems Toward Performance Portable Programming for Heterogeneous System-on-Chips: Case Study with Qualcomm Snapdragon SoC Optimization with the OpenACC-to-FPGA framework on the Arria 10 and Stratix 10 FPGAs Bringing OpenCL to Commodity RISC-V CPUs Toward Evaluating High-Level Synthesis Portability and Performance between Intel and Xilinx FPGAs OpenACC Profiling Support for Clang and LLVM using Clacc and TAU Understanding the Impact of Memory Access Patterns in Intel Processors CCAMP: An Integrated Translation and Optimization Framework for OpenACC and OpenMP MEPHESTO: Modeling Energy-Performance in Heterogeneous SoCs and Their Trade-Offs OpenACC unified programming environment for GPU and FPGA multi-hybrid acceleration In-Depth Optimization with the OpenACC-to-FPGA Framework on an Arria 10 FPGA CCAMP: OpenMP and OpenACC Interoperable Framework The Minos Computing Library: efficient parallel programming for extremely heterogeneous systems Pagination First page « First Previous page ‹‹ Page 1 Current page 2 Page 3 Next page ›› Last page Last » Key Links Curriculum Vitae Google Scholar ORCID LinkedIn GitHub
Research Highlight High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory
