Ganesh Dasika

Rank and run-time aware compression of NLP Applications

Oct 06, 2020
Urmish Thakker, Jesse Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina

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* Published at [email protected] 2020. arXiv admin note: text overlap with arXiv:1906.04886

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Pushing the limits of RNN Compression

Oct 09, 2019
Urmish Thakker, Igor Fedorov, Jesse Beu, Dibakar Gope, Chu Zhou, Ganesh Dasika, Matthew Mattina

* 5th edition of Workshop on Energy Efficient Machine Learning and Cognitive Computing at NeurIPS 2019
* 6 pages. arXiv admin note: substantial text overlap with arXiv:1906.02876

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Compressing RNNs for IoT devices by 15-38x using Kronecker Products

Jun 18, 2019
Urmish Thakker, Jesse Beu, Dibakar Gope, Chu Zhou, Igor Fedorov, Ganesh Dasika, Matthew Mattina

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Run-Time Efficient RNN Compression for Inference on Edge Devices

Jun 18, 2019
Urmish Thakker, Jesse Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina

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* Published at 4th edition of Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications at International Symposium of Computer Architecture 2019, Phoenix, Arizona (https://www.emc2-workshop.com/isca-19) colocated with ISCA 2019

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Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications

Mar 04, 2019
Dibakar Gope, Ganesh Dasika, Matthew Mattina

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* 2nd Conference on Systems and Machine Learning (SysML), 2019

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Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs

Mar 04, 2019
Partha Maji, Andrew Mundy, Ganesh Dasika, Jesse Beu, Matthew Mattina, Robert Mullins

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* HPCA.EMC2 Feb 17, 2019

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