Postdoctoral Appointee – Mixed/Reduced Precision Computing on Modern Hardware

Summary: Argonne National Laboratory is seeking a Postdoctoral Appointee to work on mixed/reduced precision computing on modern hardware. The role involves diagnosing numerical challenges, devising novel techniques, and collaborating with domain experts to enhance the adoption of reduced precision computing in scientific applications. Responsibilities: - Diagnosing and analyzing the numerical challenges related to the narrower data width - Devising and evaluating novel techniques to exploit the reduced precision hardware - Incorporating mixed/reduced precision into existing applications relevant to ALCF's mission - Developing and maintaining tools and libraries that facilitate the adoption of mixed/reduced precision computing in the broader community - Collaborating with domain experts to understand how the trend of reduced precision hardware impacts their practices and provide support in return - Publishing and presenting at professional venues Required Qualifications: - A PhD degree completed within the last 0-5 years (or soon to be completed) in numerical analysis, applied mathematics, computational science, computer science, or another relevant field - Independent research experience - Proficiency in programming and knowledge on computing hardware - Ability and willingness to work collaboratively in a team environment - Effective written and oral communication and interpersonal skills - Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications: - Knowledge on floating point arithmetic and mixed/reduced precision computing techniques - Experience with programming GPUs and/or other accelerators - Proficiency in mathematical reasoning and numerical analysis - Up-to-date awareness about the status and trend of the computing hardware industry - Interest in working with domain experts on practical problems - Experience with large-scale distributed systems - Knowledge on numerical linear algebra, numerical methods, high performance computing, or other related fields Required Skills: PhD in relevant field, Independent research experience, Programming proficiency Important Skills: mixed/reduced precision, GPUs, Mathematical reasoning, Numerical analysis Nice-to-Have Skills: Interest in domain collaboration, Effective communication skills, Team collaboration Benefits: Comprehensive benefits are part of the total rewards package