Postdoctoral Appointee - Parallel Programming and Compilers

In this role as a postdoctoral appointee, you will work 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.

You will also work 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.

Position Requirements

• Recent or soon-to-be completed PhD in computer science, physics, or a computational/engineering discipline.
• Programming in C++ and in a collaborative environment.
• Must be familiar and/or have experience with one or more of the following topics: optimizing compilers, preferably Clang/LLVM; program performance optimization; OpenMP, including target-offloading; CUDA; high-performance/scientific computing; QMCPACK.
• Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork.

Job Family

Postdoctoral Family

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

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