AIRV: Enabling Deep Learning Inference on RISC-V

Yangyang Kong

doi:10.1007/978-3-030-49556-5_9

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AIRV: Enabling Deep Learning Inference on RISC-V

Yangyang Kong

Year: 2020 Lecture notes in computer science Pages: 91-98 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-49556-5_9

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Keywords:

Computer science x86 Deep learning Porting Artificial intelligence Computer architecture Inference Reduced instruction set computing Edge device Machine learning Instruction set Cloud computing Operating system Parallel computing Software

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Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Parallel Computing and Optimization Techniques

Physical Sciences → Computer Science → Hardware and Architecture

CCD and CMOS Imaging Sensors

Physical Sciences → Engineering → Electrical and Electronic Engineering

AIRV: Enabling Deep Learning Inference on RISC-V

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