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 …

This article presents the new features of the OmpSs@ FPGA framework. OmpSs is a data-
flow programming model that supports task nesting and dependencies to target …

Cloud deployments now increasingly exploit Field-Programmable Gate Array (FPGA)
accelerators as part of virtual instances. While cloud FPGAs are still essentially single …

Datacenter servers are increasingly heterogeneous: from x86 host CPUs, to ARM or RISC-V
CPUs in NICs/SSDs, to FPGAs. Previous works have demonstrated that migrating …

Abstract In recent years, Convolution Neural Networks (CNN) have been extensively
adopted in broad Artificial Intelligence (AI) applications and have demonstrated ability and …

In this paper, we present a flexible and scalable architectural template for designing domain-
specific FPGA overlays. The template can be parametrized in terms of number and size of …

As the complexity of FPGA architectures increases, there is a raising need to improved
productivity and performance in several computing domains such as image processing …

Convolutional Neural Networks are compute-intensive learning models that have
demonstrated ability and effectiveness in solving complex learning problems. However …

In order to overcome the famous von Neumann bottleneck, FPGAs employ a dataflow model
that processes data through a pipeline of operator modules, akin to an assembly line for …

FPGAs have traditionally been successful in accelerating stream processing applications
where the amount and type of work performed on each record—eg, image, packet—do not …