A major component of many advanced programming courses is an open-ended “end-of-term project” assignment. Delivering and evaluating open-ended parallel programming projects for hundreds or thousands of students brings a need for broad system reconfigurability coupled with challenges of testing and development uniformity, access to esoteric hardware and programming environments, scalability, and security. We built RAI, a secure and extensible system for delivering open-ended programming assignments configured with access to different hardware and software requirements. More details in the paper and docs are at RAI Docs
Cheng Li (李程)
PhD candidate in Computer Science
My research lies in the field of GPU-accelerated applications, with an emphasis on Deep Learning.