Research using machine learning and artificial intelligence — tools that allow computers to learn about and predict outcomes from massive datasets — has been booming at the University of Michigan. The potential societal benefits being explored on campus are numerous, from on-demand transportation systems to self-driving vehicles to individualized medical treatments to improved battery capabilities.
CSCAR and ARC-TS provide a consultation service to assist researchers with deploying and running codes on HPC clusters such as Flux. The service assists with adapting scientific codes to parallel environments, making efficient use of HPC resources, scaling up codes, locating current and emerging performance bottlenecks, identifying hot spots, and parallelizing performance-critical parts.
Applications for fellows, mentors, and project partners for the 2018 programs are now open. Apply by January 31, 2018