Training dnns with hybrid block floating point
The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
[PDF][PDF] Training DNNs with Hybrid Block Floating Point
M Drumond, T Lin, M Jaggi, B Falsafi - papers.neurips.cc
The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
Training DNNs with Hybrid Block Floating Point
M Drumond, T Lin, M Jaggi… - Advances In Neural …, 2018 - infoscience.epfl.ch
The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
[PDF][PDF] Training DNNs with Hybrid Block Floating Point
M Drumond, T Lin, M Jaggi, B Falsafi - parsa.epfl.ch
The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
Training DNNs with Hybrid Block Floating Point
M Drumond, T Lin, M Jaggi, B Falsafi - arXiv preprint arXiv:1804.01526, 2018 - arxiv.org
The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
Training DNNs with Hybrid Block Floating Point
M Drumond, T Lin, M Jaggi, B Falsafi - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
Training DNNs with hybrid block floating point
M Drumond, T Lin, M Jaggi, B Falsafi - Proceedings of the 32nd …, 2018 - dl.acm.org
The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
Training DNNs with Hybrid Block Floating Point
M Drumond, T LIN, M Jaggi… - Advances in Neural …, 2018 - proceedings.neurips.cc
The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
[PDF][PDF] Training DNNs with Hybrid Block Floating Point
M Drumond, T Lin, M Jaggi, B Falsafi - researchgate.net
The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
[PDF][PDF] Training DNNs with Hybrid Block Floating Point
M Drumond, T Lin, M Jaggi, B Falsafi - infoscience.epfl.ch
The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
datacenter operators to adopt domain-specific accelerators to train them. These accelerators …
