Implemented in a 22-nm CMOS process, the proposed RPE cluster achieves high energy efficiency, flexibility, and resource utilization with low-cost hardware�...

May 16, 2024 � Implemented in a 22-nm CMOS process, the proposed RPE cluster achieves high energy efficiency, flexibility, and resource utilization with low-�...

In this paper, we pay our attention to the perturbation analysis subject on tensor eigenvalues under tensor-tensor multiplication sense; and also {\epsilon}-�...

Implemented in a 22-nm CMOS process, the proposed RPE cluster achieves high energy efficiency, flexibility, and resource utilization with low-cost hardware�...

A runtime-reconfigurable convolutional engine using tensor multiplication with multiple computing modes in 22-nm CMOS ... using ZYNQ FPGA node, Microelectron.

A runtime-reconfigurable convolutional engine using tensor multiplication with multiple computing modes in 22-nm CMOS. J Qian, Y Ji, C Li. Microelectronics�...

A runtime-reconfigurable convolutional engine using tensor multiplication with multiple computing modes in 22-nm CMOS � Junyi Qian � Yuxin Ji � Cai Li.

A runtime-reconfigurable convolutional engine using tensor multiplication with multiple computing modes in 22-nm CMOS. by Junyi Qian, Yuxin Ji, Cai Li.

A runtime-reconfigurable convolutional engine using tensor multiplication with multiple computing modes in 22-nm CMOS. Junyi Qian, Yuxin Ji, Cai Li. Article�...

Zuo Zhang + 2 � Read Paper � A runtime-reconfigurable convolutional engine using tensor multiplication with multiple computing modes in 22-nm CMOS. The ultra-�...