| A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks V Gokhale, J Jin, A Dundar, B Martini, E Culurciello Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE …, 2014 | 440 | 2014 |
| Snowflake: An efficient hardware accelerator for convolutional neural networks V Gokhale, A Zaidy, AXM Chang, E Culurciello 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017 | 117 | 2017 |
| An efficient implementation of deep convolutional neural networks on a mobile coprocessor J Jin, V Gokhale, A Dundar, B Krishnamurthy, B Martini, E Culurciello 2014 IEEE 57th International Midwest Symposium on Circuits and Systems …, 2014 | 68 | 2014 |
| Memory access optimized routing scheme for deep networks on a mobile coprocessor A Dundar, J Jin, V Gokhale, B Martini, E Culurciello 2014 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2014 | 33 | 2014 |
| Accelerating deep neural networks on mobile processor with embedded programmable logic A Dundar, J Jin, V Gokhale, B Krishnamurthy, A Canziani, B Martini, ... Neural information processing systems conference (NIPS), 2013 | 31 | 2013 |
| Snowflake: A model agnostic accelerator for deep convolutional neural networks V Gokhale, A Zaidy, AXM Chang, E Culurciello arXiv preprint arXiv:1708.02579, 2017 | 27 | 2017 |
| Computing architecture with concurrent programmable data co-processor E Culurciello, BE Martini, VA Gokhale, J Jin, A Dundar US Patent 9,858,220, 2018 | 21 | 2018 |
| Compiling deep learning models for custom hardware accelerators AXM Chang, A Zaidy, V Gokhale, E Culurciello arXiv preprint arXiv:1708.00117, 2017 | 14 | 2017 |
| Computation and memory bandwidth in deep neural networks E Culurciello, A Zaidy, V Gokhale Medium 5, 1-4, 2017 | 6 | 2017 |
| Nn-X-a hardware accelerator for convolutional neural networks VA Gokhale PURDUE UNIVERSITY, 2014 | 4 | 2014 |
| A high efficiency accelerator for deep neural networks A Zaidy, AXM Chang, V Gokhale, E Culurciello 2018 1st Workshop on Energy Efficient Machine Learning and Cognitive …, 2018 | 3 | 2018 |
| Hardware accelerator for convolutional neural networks and method of operation thereof E Culurciello, V Gokhale, A Zaidy, A Chang US Patent 11,775,313, 2023 | 1 | 2023 |
| Transposing At-Speed in a Vector-Matrix Accelerator VA Gokhale, ML Hedlund, MW Ashcraft, I Chakraborty US Patent App. 18/198,387, 2024 | | 2024 |
| Transposition of left-hand-side operand to systolic matrix multiplication ML Hedlund, CA Clark, AE Phelps, TJ Norrie, S Honnavara-Prasad, ... US Patent 12,073,216, 2024 | | 2024 |
| Multi-Modal Systolic Array For Matrix Multiplication ML Hedlund, CA Clark, AE Phelps, TJ Norrie, NP Jouppi, ... US Patent App. 18/168,972, 2024 | | 2024 |
| Computing architecture with co-processor E Culurciello, BE Martini, VA Gokhale, J Jin, A Dundar US Patent 10,157,156, 2018 | | 2018 |
| Snowflake: A Model Agnostic Accelerator for Convolutional Neural Networks VA Gokhale Purdue University, 2017 | | 2017 |
| EMC2 2018 K Khouri, C Qi, G Fursin, K Taht, S Narayanan, R Balasubramonian, ... | | |
| Aleksic, Mickey 14 Balasubramonian, Rajeev 4, 34 Chai, Sek 29 Culurciello, Eugenio 9, 24 SH Fatemi Langroudi, C Feng, G Fursin, V Gokhale, S Gudaparthi, ... | | |
| Abstract/Details VA Gokhale, E Culurciello, A Raghunathan, V Raghunathan | | |
Eugenio CulurcielloPascaline Systems Inc.Verified email at pascalinesys.com
