Job Description
This collaboration will include efforts in several directions aimed at improving operations in areas relevant to ALCF: - Understanding the lifecycle of a supercomputer, the incentives of users, and how do improve the structure of resource allocations and scheduling - New scheduler designs based on reinforcement learning and related techniques - Investigating opportunities to improve queueing for capability workloads - Energy efficiency and incorporating renewable energy into HPC operations
Position Requirements
Job Family
Visiting Faculty AppointmentJob Profile
Guest Faculty Research ParticipantWorker Type
Long-Term (Fixed Term)Time Type
Part timeAs 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.
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