Machine Learning Aided Hardware Resource Estimation for FPGA DNN Implementations.
Dana DiaconuLucian PetricaMichaela BlottMiriam LeeserPublished in: IPDPS Workshops (2022)
Keyphrases
- machine learning
- software implementation
- hardware architectures
- hardware implementation
- field programmable gate array
- hardware architecture
- low cost
- real time
- single chip
- hardware design
- dedicated hardware
- general purpose processors
- efficient implementation
- fpga implementation
- parallel hardware
- resource allocation
- support vector machine
- machine learning algorithms
- machine learning methods
- hardware and software
- learning algorithm
- fpga technology
- pattern recognition
- computational power
- information extraction
- programmable logic
- low power consumption
- high speed
- computer science
- fpga device
- hardware description language
- neural network
- parallel computing
- resource management
- embedded systems
- knowledge acquisition
- decision trees
- computer vision
- digital signal processing
- real time image processing
- image processing algorithms
- signal processing
- xilinx virtex
- natural language processing
- active learning
- gate array