Field Programmable Neural Array: Artificial Intelligence at the Edge
Abstract
This paper will present the architecture of an Field Programmable Neural Array (FPNA) for AI applications at the tactical computing edge. This platform combines domain specific accelerators for AI with a reconfigurable interconnect to permit any Deep Neural Network to be mapped into the FPNA. The FPNA includes domain specific accelerators that perform inference tasks with higher computing efficiency than CPUs and GPUs, approaching that of ASICs designed specifically for AI applications, and a reconfigurable interconnect providing the flexibility and connectivity of an FPGA.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 25, 2019
- Accession Number
- AD1075605
Entities
People
- Max Yu
- Melissa Bezandry
- Oluseyi A. Ayorinde
- Peter Gadfori
Organizations
- United States Army Research Laboratory