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 …

Disaggregated memory can address resource provisioning inefficiencies in current
datacenters. Multiple software runtimes for disaggregated memory have been proposed in …

Existing serverless computing platforms are built upon homogeneous computers, limiting the
function density and restricting serverless computing to limited scenarios. We introduce …

Hybrid computing systems, consisting of a CPU server coupled with a Field-Programmable
Gate Array (FPGA) for application acceleration, are today a common facility in datacenters …

Hybrid computing platforms, comprising CPU cores and FPGA logic, are increasingly used
for accelerating data-intensive workloads in cloud deployments, and are a growing topic of …

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

Cloud deployments disaggregate storage from compute, providing more flexibility to both the
storage and compute layers. In this paper, we explore disaggregation by taking it one step …

Responding to the" datacenter tax" and" killer microseconds" problems for memory-intensive
datacenter applications, diverse solutions including Smart NIC-based ones have been …

In the post-Moore's Law era, relying solely on hardware advancements for automatic
performance gains is no longer feasible without increased energy consumption, due to the …

FPGAs are increasingly common in modern applications, and cloud providers now support
on-demand FPGA acceleration in data centers. Applications in data centers run on virtual …