Published June 28, 2017
| Version v2.0.0
Software
Open
NervanaSystems/neon: MKL backend boosting CPU performance, WGAN model examples
Authors/Creators
- Scott Leishman
- apark263
- Anil Thomas
- Jennifer Myers1
- yinyinl2
- nervetumer
- Urs Köster3
- hanlin-nervana
- Scott Gray4
- Augustus Odena
- wconstab
- Zach Dwiel
- John Co-Reyes
- Arjun Bansal2
- Sébastien Arnold5
- Jeevan Shankar6
- Andy
- Scott Cyphers7
- Tyler Lee
- Kai Arulkumaran
- Santi Villalba
- Xin Wang8
- Steven Robertson9
- Jason Knight1
- Gabriel Pereyra10
- mikebenfield
- Dongjoon Hyun11
- DawnStone
- bbnguyen
- aravind-nrv
- 1. @NervanaSystems
- 2. Nervana Systems
- 3. Nervana
- 4. OpenAI
- 5. University of Southern California
- 6. Facebook
- 7. Intel Nervana
- 8. Intel Corporation
- 9. Intel - Nervana
- 10. Student
- 11. @hortonworks
Description
- Added support for MKL backend (-b mkl) on Linux, which boosts neon CPU performance significantly
- Added WGAN model examples for LSUN and MNIST data
- Enabled WGAN and DCGAN model examples for Python3
- Added fix (using file locking) to prevent race conditions running multiple jobs on the same machine with multiple GPUs
- Added functionality to display some information about hardware, OS and model used
- Updated appdirs to 1.4.3 to be compatibile on Centos 7.3 for appliance
Files
NervanaSystems/neon-v2.0.0.zip
Files
(3.3 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:012f176d21077beba4189be5f728005d
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3.3 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/NervanaSystems/neon/tree/v2.0.0 (URL)