Postdoctoral Appointee - Parallel Programming Model Translation

Argonne National Laboratory

Lemont, IL

Job posting number: #7080531 (Ref:410340)

Posted: June 28, 2021

Application Deadline: Open Until Filled

Job Description

The postdoctoral appointee works in the X-CELLENT (Cross-Compiler Extending LLVM for Enhanced Natural Translation) project in collaboration with Princeton and Northwestern University. The objective of this project is to produce an open-source parallel-programming-model translator that translates high-performance computing applications written in one parallel programming model to use another parallel programming model. Supported programming models include thread-parallel OpenMP, target-offloaded OpenMP and CUDA.

The postdoctoral appointee also works on preserving high-level information from OpenMP and CUDA into the PS-PDG and to improve analysis, optimization remarks and debugging that is otherwise based only on LLVM-IR encoding. Moreover, the intermediate representation has to be translated back into natural source code. Concretely, we will work on translating QMCPACK's into a fully OpenMP-based application making optimal use of offloading resources.

Candidates are required to have a PhD (completed within the last 3 years, or soon-to-be completed) doctoral degree in computer science, physics, or a computational/engineering discipline. We are seeking a candidate that can program in C++ and in a collaborative environment. In addition, we expect the candidate to be familiar and/or have experience with one or more of the following topics:

  • Optimizing compilers, preferably Clang/LLV
  • Program performance optimization
  • OpenMP, including target-offloading
  • CUDA
  • High-performance/scientific computing
  • QMCPACK

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More Info

Job posting number:#7080531 (Ref:410340)
Application Deadline:Open Until Filled
Employer Location:Argonne National Laboratory
Argonne,Illinois
United States
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