In recent years, artificial intelligence (AI) has been under rapid development, applied in
various areas. Among a vast number of neural network (NN) models, the convolutional …

FPGA-based accelerators are increasingly popular across a broad range of applications,
because they offer massive parallelism, high energy efficiency, and great flexibility for …

Datacenter workloads demand high computational capabilities, flexibility, power efficiency,
and low cost. It is challenging to improve all of these factors simultaneously. To advance …

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 …

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 …

Reconfigurable architectures can bring unique capabilities to computational tasks. They
offer the performance and energy efficiency of hardware with the flexibility of software. In …

Verilog HDL is the most-used hardware design language for FPGAs. In this paper, we
introduce Pyverilog, an open-source toolkit for RTL design analysis and code generation of …

A growing number of commercial and enterprise systems increasingly rely on compute-
intensive Machine Learning (ML) algorithms. While the demand for these compute-intensive …

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

An FPGA is a peculiar hardware realization substrate in terms of the relative speed and cost
of logic vs. wires vs. memory. In this paper, we present a Network-on-Chip (NoC) design …