Postdoctoral Appointee - Computer Science

at Argonne National Laboratory in Lemont, Illinois, United States

Job Description

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

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