Optimizing Convolutions for an Inference Accelerator: Case Study: Intel's NNP-I 1000 DL Compute Grid.
DurgadossKausik MaitiSanju C. SudhakaranIsha AgarwalKartik PoduguPavan KumarJitender PatilAmit K. ChawlaPublished in: AIMLSystems (2021)
Keyphrases
- case study
- description logics
- real world
- bayesian networks
- inference process
- lessons learned
- expressive power
- probabilistic inference
- knowledge representation languages
- dynamic bayesian networks
- parallel implementation
- belief networks
- development process
- fourier transform
- software engineering
- conjunctive queries
- bayesian inference
- grid computing
- grid environment
- knowledge base
- data sets