In this article, we survey existing academic and commercial efforts to provide Field-
Programmable Gate Array (FPGA) acceleration in datacenters and the cloud. The goal is a …

The computing demand for massive applications has led to the ubiquitous deployment of
computing power. This trend results in the urgent need for higher-level computing resource …

GPUs and other accelerators are popular devices for accelerating compute-intensive,
parallelizable applications. However, programming these devices is a difficult task. Writing …

Cloud providers such as Amazon and Microsoft have begun to support on-demand FPGA
acceleration in the cloud, and hardware vendors will support FPGAs in future processors. At …

Big data applications often incur large costs in I/O, data transfer and copying overhead,
especially when operating in cloud environments. Since most such computations are …

FPGA accelerators are being applied in various types of systems ranging from embedded
systems to cloud computing for their high performance and energy efficiency. Given the …

Deep Neural Network (DNN) models have been extensively developed by companies for a
wide range of applications. The development of a customized DNN model with great …

In this work we present a novel unsupervised framework for hard training example mining.
The only input to the method is a collection of images relevant to the target application and a …

Field-Programmable Gate Arrays (FPGAs) have been integrated into the cloud infrastructure
to enhance its computing performance by supporting on-demand acceleration. However …

Software-defined networking (SDN) has attracted the attention of the research community in
recent years, as evidenced by a large number of survey and review papers. The architecture …