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 …

Platforms combining Central Processing Systems (CPUs) with Field Programmable Gate
Arrays (FPGAs) have become popular, as they promise high performance with energy …

Customized compute acceleration in the datacenter is key to the wider roll-out of
applications based on deep neural network (DNN) inference. In this article, we investigate …

Integrating Field Programmable Gate Arrays (FPGAs) with cloud computing instances is a
rapidly emerging trend on commercial cloud computing platforms such as Amazon Web …

In the last five years, FPGA presence in the cloud has gone from near zero (except for
deeply embedded devices) to a large fraction of all high-end FPGAs sold. This is because …

The emergence of disaggregation in data center (DC) architectures as a way to increase
resource utilization introduces significant challenges to the DC switching infrastructure …

High-Performance Big Data Analytics (HPDA) applications are characterized by huge
volumes of distributed and heterogeneous data that require efficient computation for …

FPGA clusters have yet to be a mainstream of HPC, even for accelerators, and several
challenges exist in their architecture and system organization. This work presents ESSPER …

Emerging applications such as deep neural networks, bioinformatics or video encoding
impose a high computing pressure on the Cloud. Reconfigurable technologies like Field …

Field Programmable Gate Array (FPGA) draws a significant attention from both industry and
academia by accelerating computationally expensive applications and achieving low power …