Association for Computing Machinery (ACM) - Efficient memory compression in deep neural networks using coarse-grain sparsification for speech applications

2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)

Author(s): Deepak Kadetotad ; Sairam Arunachalam ; Chaitali Chakrabarti ; Jae-sun Seo
Publisher: Association for Computing Machinery (ACM)
Publication Date: 1 November 2016
Conference Location: Austin, TX, USA
Conference Date: 7 November 2016
Page(s): 1 - 8
ISBN (Electronic): 978-1-4503-4466-1
ISSN (Electronic): 1558-2434
DOI: 10.1145/2966986.2967028
Regular:

Recent breakthroughs in deep neural networks have led to the proliferation of its use in image and speech applications. Conventional deep neural networks (DNNs) are fully-connected multi-layer... View More

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