FPGA accelerators are gaining increasing attention in both cloud and edge computing
because of their hardware flexibility, high computational throughput, and low power …

To lower cost and increase the utilization of Cloud Field-Programmable Gate Arrays
(FPGAs), researchers have recently been exploring the concept of multi-tenant FPGAs …

Multi-tenant FPGAs have recently been proposed, where multiple independent users
simultaneously share a remote FPGA. Despite its benefits for cost and utilization, multi …

The reduction of neural parameters and operations for the applications on embedded and
IoT platforms in current deep neural network (DNN) architectures has received increasing …

Featured Application B5G non-public networks will serve various vertical industries, which
are developing rapidly in the era of the Internet of Things. It is forecasted that eight key …

With field-programmable gate arrays (FPGAs) being widely deployed into data centers, an
efficient virtualization support is required to fully unleash the potential of cloud FPGAs …

Deep Neural Network (DNN) INFerence-as-a-Service (INFaaS) is the dominating workload
in current data centers, for which FPGAs become promising hardware platforms because of …

Neural network layer fusion has been proposed to parallelize the inference of neural layers
and thus significantly reduces the feature-induced memory accesses. However, how to fuse …

Object detection via deep neural networks has undergone considerable advancements in
recent years. Yet, the detection of smaller objects, specifically those with a few pixels (ie,< 32 …

As multi-tenant FPGA applications continue to scale in size and complexity, their need for
resilience against environmental effects and malicious actions continues to grow. To ensure …