University of South Florida 3 credits CAI
Focuses on studying, designing, and evaluating various hardware platforms for deploying high-performance machine learning (ML) algorithms. The platforms examined include GPUs and vector architectures, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), in-memory computing, and quantum-computing-based accelerators. Prerequisite: None Corequisite: None Co-Prerequisite(s): None USF College of Engineering | Department of Computer Science and Engineering Credit Hours: 3
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