Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks. - Naveen Suda; Vikas Chandra; Ganesh Dasika; Abinash Mohanty; Yufei Ma 002; Sarma B. K. Vrudhula; Jae-sun Seo; Yu Cao 001 (FPGA, 2016)

Predicting room occupancy with a single passive infrared (PIR) sensor through behavior extraction. - Yordan P. Raykov; Emre Ozer 001; Ganesh Dasika; Alexis Boukouvalas; Max A. Little (UbiComp, 2016)

BONSEYES: Platform for Open Development of Systems of Artificial Intelligence: Invited paper. - Tim Llewellynn; Maria del Milagro Fernández-Carrobles; Oscar Déniz; Samuel Fricker; Amos J. Storkey; Nuria Pazos; Gordana Velikic; Kirsten Leufgen; Rozenn Dahyot; Sebastian Koller; Georgios I. Goumas; Peter Leitner; et al. (Conf. Computing Frontiers, 2017)

Guest Editors' Introduction: Frontiers of Hardware and Algorithms for On-chip Learning. - Yu Cao 001; Xin Li 001; Jae-sun Seo; Ganesh Dasika (ACM J. Emerg. Technol. Comput. Syst., 2018)

Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs. - Partha Maji; Andrew Mundy; Ganesh Dasika; Jesse G. Beu; Matthew Mattina; Robert D. Mullins (EMC2@HPCA/CVPR/ISCA, 2019)

Run-Time Efficient RNN Compression for Inference on Edge Devices. - Urmish Thakker; Jesse G. Beu; Dibakar Gope; Ganesh Dasika; Matthew Mattina (EMC2@HPCA/CVPR/ISCA, 2019)

Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications. - Dibakar Gope; Ganesh Dasika; Matthew Mattina (SysML, 2019)

Pushing the limits of RNN Compression. - Urmish Thakker; Igor Fedorov; Jesse G. Beu; Dibakar Gope; Chu Zhou; Ganesh Dasika; Matthew Mattina (EMC2@NeurIPS, 2019)

Skipping RNN State Updates without Retraining the Original Model. - Jin Tao; Urmish Thakker; Ganesh Dasika; Jesse G. Beu (SenSys-ML, 2019)

Measuring scheduling efficiency of RNNs for NLP applications. - Urmish Thakker; Ganesh Dasika; Jesse G. Beu; Matthew Mattina (CoRR, 2019)

Compressing RNNs for IoT devices by 15-38x using Kronecker Products. - Urmish Thakker; Jesse G. Beu; Dibakar Gope; Chu Zhou; Igor Fedorov; Ganesh Dasika; Matthew Mattina (CoRR, 2019)

Rank and run-time aware compression of NLP Applications. - Urmish Thakker; Jesse G. Beu; Dibakar Gope; Ganesh Dasika; Matthew Mattina (SustaiNLP@EMNLP, 2020)

Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products. - Urmish Thakker; Igor Fedorov; Chu Zhou; Dibakar Gope; Matthew Mattina; Ganesh Dasika; Jesse G. Beu (ACM J. Emerg. Technol. Comput. Syst., 2021)