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Software . 2017
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Software . 2017
Data sources: ZENODO
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NervanaSystems/neon: Improved CPU performance for SSD and inference with batchnorm, Docker file

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 21 Dec 2017Publisher:Zenodo
Authors: Scott Leishman; Alex Park; Anil Thomas; yinyinl; nervetumer; Urs Köster; Scott Gray; +23 Authors
Code repository: https://github.com/NervanaSystems/neon/tree/v2.5.0

doi: 10.5281/zenodo.1123483

NervanaSystems/neon: Improved CPU performance for SSD and inference with batchnorm, Docker file

Abstract

Optimized SSD MKL backend performance (~3X boost version over version) Bumped aeon version to v1.3.0 Fixed inference performance issue of MKL batchnorm Fixed batch prediction issue for gpu backend Enabled subset_pct for MNIST_DCGAN example Updated "make clean" to clean up mkl artifacts Added dockerfile for IA mkl

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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