| vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design M Rhu, N Gimelshein, J Clemons, A Zulfiqar, SW Keckler 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016 | 519 | 2016 |
| Simba: Scaling deep-learning inference with multi-chip-module-based architecture YS Shao, J Clemons, R Venkatesan, B Zimmer, M Fojtik, N Jiang, B Keller, ... Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019 | 437 | 2019 |
| Reinforcement learning through asynchronous advantage actor-critic on a gpu M Babaeizadeh, I Frosio, S Tyree, J Clemons, J Kautz arXiv preprint arXiv:1611.06256, 2016 | 350 | 2016 |
| Magnet: A modular accelerator generator for neural networks R Venkatesan, YS Shao, M Wang, J Clemons, S Dai, M Fojtik, B Keller, ... 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019 | 133 | 2019 |
| A 0.32–128 TOPS, scalable multi-chip-module-based deep neural network inference accelerator with ground-referenced signaling in 16 nm B Zimmer, R Venkatesan, YS Shao, J Clemons, M Fojtik, N Jiang, B Keller, ... IEEE Journal of Solid-State Circuits 55 (4), 920-932, 2020 | 105 | 2020 |
| MEVBench: A mobile computer vision benchmarking suite J Clemons, H Zhu, S Savarese, T Austin 2011 IEEE international symposium on workload characterization (IISWC), 91-102, 2011 | 105 | 2011 |
| GA3C: GPU-based A3C for deep reinforcement learning M Babaeizadeh, I Frosio, S Tyree, J Clemons, J Kautz CoRR abs/1611.06256, 2016 | 93 | 2016 |
| A modular digital VLSI flow for high-productivity SoC design B Khailany, E Khmer, R Venkatesan, J Clemons, JS Emer, M Fojtik, ... Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 76 | 2018 |
| Buffets: An efficient and composable storage idiom for explicit decoupled data orchestration M Pellauer, YS Shao, J Clemons, N Crago, K Hegde, R Venkatesan, ... Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 68 | 2019 |
| A 0.11 pj/op, 0.32-128 tops, scalable multi-chip-module-based deep neural network accelerator with ground-reference signaling in 16nm B Zimmer, R Venkatesan, YS Shao, J Clemons, M Fojtik, N Jiang, B Keller, ... 2019 Symposium on VLSI Circuits, C300-C301, 2019 | 55 | 2019 |
| EFFEX: an embedded processor for computer vision based feature extraction J Clemons, A Jones, R Perricone, S Savarese, T Austin Proceedings of the 48th Design Automation Conference, 1020-1025, 2011 | 50 | 2011 |
| Virtualizing deep neural networks for memory-efficient neural network design M Rhu, N Gimelshein, J Clemons, A Zulfiqar, SW Keckler arXiv preprint arXiv:1602.08124 43, 2016 | 30 | 2016 |
| Patch memory system JL Clemons, CC Cheng, DR Johnson, SW Keckler, I Frosio, T Yun-Ta US Patent 9,934,153, 2018 | 26 | 2018 |
| Method of detecting an off-balance condition of a clothes load in a washing machine AC Stansel, MFS Neto, JL Clemons, BJ Cook, AJ Darby US Patent 8,042,211, 2011 | 26 | 2011 |
| A patch memory system for image processing and computer vision J Clemons, CC Cheng, I Frosio, D Johnson, SW Keckler 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016 | 25 | 2016 |
| Structurally sparsified backward propagation for faster long short-term memory training M Zhu, J Clemons, J Pool, M Rhu, SW Keckler, Y Xie arXiv preprint arXiv:1806.00512, 2018 | 16 | 2018 |
| EVA: An efficient vision architecture for mobile systems J Clemons, A Pellegrini, S Savarese, T Austin 2013 International Conference on Compilers, Architecture and Synthesis for …, 2013 | 14 | 2013 |
| A 0.11 pj/op, 0.32-128 tops, scalable multi-chip-module-based deep neural network accelerator designed with A high-productivity vlsi methodology R Venkatesan, YS Shao, B Zimmer, J Clemons, M Fojtik, N Jiang, B Keller, ... 2019 IEEE Hot Chips 31 Symposium (HCS), 1-24, 2019 | 13 | 2019 |
| A real-time energy-efficient superpixel hardware accelerator for mobile computer vision applications I Hong, J Clemons, R Venkatesan, I Frosio, B Khailany, SW Keckler Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016 | 12 | 2016 |
| Training long short-term memory with sparsified stochastic gradient descent M Zhu, M Rhu, J Clemons, SW Keckler, Y Xie | 10 | 2016 |
