Nature

FPGA-Based Acceleration of Deep Learning Networks

Field programmable gate arrays (FPGAs) have emerged as flexible hardware platforms for accelerating deep learning networks, offering high energy efficiency, low latency and reconfigurable parallelism.
Semiconductor Engineering

Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud

“FPGAs have shown great potential in providing low-latency and energy-efficient solutions for deep neural network (DNN) inference applications. Currently, the majority of FPGA-based DNN accelerators ...
Nature

FPGA-Accelerated Object Detection with Deep Learning Techniques

Field-programmable gate arrays (FPGAs) have emerged as a vital class of reconfigurable hardware accelerators, offering a compelling balance of performance, power efficiency and flexibility for ...