The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and computational science expertise. The Mathematics and Computer Science Division (MCS) and ALCF are looking for a postdoctoral appointee to perform research and development on performance characterization and optimization of HPC applications on exascale systems (i.e. Aurora). Exascale systems, and Aurora in particular, exhibit complex memory and device topologies including multiple processors, accelerators (GPUs), and memory types (HBM) connected by non-uniform on-node interconnect. How to best map an HPC application (binding) on such topologies, and further place and move data among the topology is still an open research question, usually tackled by application performance specialists by hand. To ease this process, we are interested in the design of performance characterization methods that combine programming-model level tracing, automated search policies, and learned performance models. The role of this postdoc would be to act as a bridge between application developers, performance experts at ACLF and researchers at MCS to design and provide practical tooling to the community to better understand how applications map to and use Aurora nodes. The work will take place in a multi-disciplinary environment and will offer opportunities to interact with a wide range of talents from the whole spectrum of HPC research. In this role you can expect to: + Present and publish your work at major symposia and journals + Research Profiling/Tracing methods for accelerated HPC applications + Develop models of the impact of memory utilization on performance + Design automated optimization policies + Work together with application developers to ensure optimization sustainability **Position Requirements** Required skills and qualifications: + Recent or soon-to-be-completed PhD in related field (typically completed within the last 0-5 years) in Computer Science, or a similar field + Comprehensive knowledge in C/C++ programming under Unix/Linux + Experience with high performance computing + Ability to create, maintain, and support high-quality software + Effective written and oral communication skills + Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork Preferred skills and qualifications: + Knowledge of at least one GPU programming model (OpenMP offload, CUDA, OpenCL, ...) + Experience in System Programming + Experience related to parallel algorithms and memory management + Extensive expertise in performance characterization / modeling of application behavior **Job Family** Postdoctoral Family **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time _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._