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2010 – 2019
- 2018
[c5]Aliasger Zaidy, Andre Xian Ming Chang, Vinayak Gokhale, Eugenio Culurciello:
A High Efficiency Accelerator for Deep Neural Networks. EMC2@ASPLOS 2018: 9-13- 2017
- [b1]Vinayak Gokhale:
Snowflake: A Model Agnostic Accelerator for Convolutional Neural Networks. Purdue University, USA, 2017 - [c4]Vinayak Gokhale, Aliasger Zaidy, Andre Xian Ming Chang, Eugenio Culurciello:
Snowflake: An efficient hardware accelerator for convolutional neural networks. ISCAS 2017: 1-4 - [i2]Andre Xian Ming Chang, Aliasger Zaidy, Vinayak Gokhale, Eugenio Culurciello:
Compiling Deep Learning Models for Custom Hardware Accelerators. CoRR abs/1708.00117 (2017) - [i1]Vinayak Gokhale, Aliasger Zaidy, Andre Xian Ming Chang, Eugenio Culurciello:
Snowflake: A Model Agnostic Accelerator for Deep Convolutional Neural Networks. CoRR abs/1708.02579 (2017) - 2014
- [c3]Vinayak Gokhale, Jonghoon Jin, Aysegul Dundar, Berin Martini, Eugenio Culurciello:
A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks. CVPR Workshops 2014: 696-701 - [c2]Aysegul Dundar, Jonghoon Jin, Vinayak Gokhale, Berin Martini, Eugenio Culurciello:
Memory access optimized routing scheme for deep networks on a mobile coprocessor. HPEC 2014: 1-6 - [c1]Jonghoon Jin, Vinayak Gokhale, Aysegul Dundar, Bharadwaj Krishnamurthy, Berin Martini, Eugenio Culurciello:
An efficient implementation of deep convolutional neural networks on a mobile coprocessor. MWSCAS 2014: 133-136
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