SULI MCS Phann, Makkara 6.23.26

Modern supercomputers such as Argonne's Aurora Exascale machine are large and complex, and comprise so many components that a small failure rate per component translates into an appreciable failure rate for the entire machine. In order for applications to be made resilient in the face of such unavoidable failures, it is necessary to characterize the application failure rate with good precision, and if possible with some specificity regarding the type and hardware usage pattern of applications. This requires combining of various streams of logging information, and nontrivial statistical analysis, possibly supplemented by machine learning techniques. This project targets the study of application failure rates on Aurora, based on such analyses. The student will explore the log data streams to discover effective ways of tracking application failure rates, write code to analyze, categorize, and visualize application interrupts, and help develop models of machine computational efficiency.

Education and Experience Requirements

The entirety of the appointment must be conducted within the United States.
• Applicants must be:
o Currently enrolled in undergraduate or graduate studies at an accredited
institution.
o Graduated from an accredited institution within the past 3 months; or
o Actively enrolled in a graduate program at an accredited institution.
• Must be 18 years or older at the time the appointment begins.
• Must possess a cumulative GPA of 3.0 on a 4.0 scale.
• Must be a U.S. citizen or Legal Permanent Resident at the time of application.
• If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies.

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EEO Information

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any 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.