Nature

FPGA-Based Hardware Acceleration for Computer Vision Applications

Field-Programmable Gate Arrays (FPGAs) have emerged as a versatile platform for accelerating computer vision tasks by exploiting fine-grained parallelism, deep pipelining and reconfigurable logic.
Nature

FPGA-Based Acceleration of Deep Learning Networks

Field programmable gate arrays (FPGAs) have emerged as flexible hardware platforms for accelerating deep learning networks, offering high energy efficiency, low latency and reconfigurable parallelism.
Semiconductor Engineering

Automated MLIR-based HLS framework That Generates FPGA HW Designs From A Variety of CNN Layers (TU Dresden)

“Driven by the increasing demand for low-latency and real-time processing, machine learning applications are steadily migrating toward edge computing platforms, where Field-Programmable Gate Arrays ...
TechSpot

The legendary 3dfx Voodoo is back in FPGA form

In context: 3dfx remains a legendary name among gamers and 3D graphics enthusiasts more than two decades after its demise (it was acquired and absorbed into Nvidia in 2000). Resourceful developers and ...