A deep learning FPGA platform optimized for implementation on Microsemi FPGAs

Overview

Core Deep Learning from ASIC Design Services is a scalable and flexible Convolutional Neural Network (CNN) solution for Microsemi FPGAs. Core Deep Learning accelerates convolutional and fully connected neural networks. The configurable nature, small real-estate, and low-power properties of FPGAs allows for computationally expensive CNNs to be moved to the node. Core Deep Learning is the product of a scalable framework that offers the opportunity to stipulate the desired performance, platform specifications, and resource constraints for an application and platform-specific optimized solution.


Comprehensive Layer Support


8-Bit Dynamic Fixed-Point Representation

Easy Integration

Core Deep Learning can fit into any FPGA design by scaling to unique customer requirements. Using search and simulation algorithms, optimal solutions are provided on a per-implementation basis. Each solution is configured specific to the network and user-specific platform requirements. The simple interface allows for fast, efficient design integration.

Services and Solutions

Versatile Network
Support

Simple Interface

Device Compatibility

Key Features

Download Core Deep Learning Brochure
Contact ASIC Design Services at: cdl@asic.co.za www.asic.co.za +27 (0)11 315 8316