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Computer Science and Mathematics

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Contact

lees2@ornl.gov
Group
Future Technologies
ORNL Staff Profile Researcher Website
Researcher Profile

Seyong Lee

Bio

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 /Cloud computing and sharing

Highlights

  • The OpenACC data model: Preliminary study on its major challenges and implementations
  • Designing Algorithms for the EMU Migrating-threads-based Architecture
  • Language-Based Optimizations for Persistence on Nonvolatile Main Memory Systems
  • NVL-C: Static Analysis Techniques for Efficient, Correct Programming of Non-Volatile Main Memory Systems
  • View all Highlights

Projects

  • Sawtooth

Recognition

  • HPEC18 - Best Paper Finalist

Publications

  • Clacc: Translating OpenACC to OpenMP in Clang
  • Directive-based, High-Level Programming and Optimizations for High-Performance Computing with FPGAs
  • Tuyere: Enabling scalable memory workloads for system exploration
  • Juggler: a dependence-aware task-based execution framework for GPUs
  • Design and Implementation of Papyrus: Parallel Aggregate Persistent Storage
  • View all Publications

Resources

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