Postdoctoral Appointee - Parallel Programming and Compilers
- Argonne National Laboratory
- Location: Lemont, IL
- Job Number: 7085705
- Posting Date: Sep 20, 2021
- Application Deadline: Open Until Filled
Job DescriptionThe 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 should have a recent or soon to be expected 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/LLVM; Program performance optimization; OpenMP, including target-offloading; CUDA; High-performance/scientific computing; MCPACK.
Long-Term (Fixed Term)
As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination.
Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.