This white paper provides an overview of fixed- and floating-point DSP coding techniques, ranging from RTL to the Xilinx portfolio of IP and tools. It also describes advances with High-Level Synthesis (HLS) tools, like AutoPilot, how FPGA designs can benefit from coding in a “natural language” like C or C++, and how easily FPGAs can be programmed by a large community of software programmers.
Authors: Oliver Garreau and Jack Lo, Xilinx
 Altera® FPGAs and SoCs with FPGA AI Suite and OpenVINO™ Toolkit Drive Embedded/Edge AI/Machine Learning ApplicationsSponsored by Intel Describes the emerging use cases of FPGA-based AI inference in edge and custom AI applications, and software and hardware solutions for edge FPGA AI. |
