Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC.
Eriko NurvitadhiJaewoong SimDavid SheffieldAsit K. MishraKrishnan SrivatsanDebbie MarrPublished in: FPL (2016)
Keyphrases
- recurrent neural networks
- hardware implementation
- neural network
- hardware architecture
- recurrent networks
- echo state networks
- reservoir computing
- feed forward
- real time
- single chip
- gpu implementation
- cascade correlation
- graphics processing units
- feedforward neural networks
- neural model
- graphics processors
- artificial neural networks
- low cost
- heterogeneous computing
- nonlinear dynamic systems
- business intelligence
- data center
- machine learning
- design methodology
- signal processing
- learning analytics
- neural models