Postdoctoral Appointee - Parallel Programming and Compilers
We are currently looking to hire a Postdoctoral Appointee to work on parallel programming and compilers. 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.
- Recent or soon to be completed PhD (typically within 0-3 years) in computer science, physics, or a computational/engineering discipline
- Programming experience in C++ and in a collaborative environment
- Familiarity and/or 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; MCPACK.
Job FamilyPostdoctoral Family
Job ProfilePostdoctoral Appointee
Worker TypeLong-Term (Fixed Term)
Time TypeFull time
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