3 papers
cs.AR2024
SPEED: A Scalable RISC-V Vector Processor Enabling Efficient Multi-Precision DNN Inference
Chuanning Wang, Chao Fang, Xiao Wu +2
Deploying deep neural networks (DNNs) on those resource-constrained edge platforms is hindered by their substantial computation and storage demands. Quantized multi-precision DNNs,…
cs.AR2024
An FPGA-Based Accelerator Enabling Efficient Support for CNNs with Arbitrary Kernel Sizes
Miaoxin Wang, Xiao Wu, Jun Lin +1
Convolutional neural networks (CNNs) with large kernels, drawing inspiration from the key operations of vision transformers (ViTs), have demonstrated impressive performance in vari…
cs.AR2024
A Scalable RISC-V Vector Processor Enabling Efficient Multi-Precision DNN Inference
Chuanning Wang, Chao Fang, Xiao Wu +2
RISC-V processors encounter substantial challenges in deploying multi-precision deep neural networks (DNNs) due to their restricted precision support, constrained throughput, and s…