The field programmable gate array (FPGA) is a highly flexible alternative to burning algorithms directly onto a microprocessor to create an application-specific integrated circuit (ASIC).
- Xilinx is re-architecting its FPGAs for AI.
Features and Benefits
- Understand the best role for FPGAs for AI between training and inference modes.
- Learn about Xilinx's new Adaptive Compute Acceleration Platform, ACAP.
Key questions answered
- How is Xilinx addressing the needs of general software developers to program FPGAs?
- How is Xilinx supporting machine learning on its FPGAs?
Table of contents
Xilinx is re-architecting its FPGAs for AI
FPGAs for AI system inference mode
Xilinx’s new platform: Adaptive Compute Acceleration Platform (ACAP)
Example FPGA user: Ryft
FPGAs on the cloud and FPGA middleware
A little FPGA history
CPU architecture and its bottleneck
FPGA is a dataflow architecture