Cnndroid: Gpu-accelerated execution of trained deep convolutional neural networks on android SS Latifi Oskouei, H Golestani, M Hashemi, S Ghiasi Proceedings of the 24th ACM international conference on Multimedia, 1201-1205, 2016 | 132 | 2016 |
Gpu-based acceleration of deep convolutional neural networks on mobile platforms SSL Oskouei, H Golestani, M Kachuee, M Hashemi, H Mohammadzade, ... Distrib. Parallel Clust. Comput, 2015 | 20 | 2015 |
Polygraphmr: Enhancing the reliability and dependability of cnns S Latifi, B Zamirai, S Mahlke 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems …, 2020 | 16 | 2020 |
SRTuner: Effective compiler optimization customization by exposing synergistic relations S Park, S Latifi, Y Park, A Behroozi, B Jeon, S Mahlke 2022 IEEE/ACM International Symposium on Code Generation and Optimization …, 2022 | 11 | 2022 |
Sieve: Speculative inference on the edge with versatile exportation B Zamirai, S Latifi, P Zamirai, S Mahlke 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 5 | 2020 |
Efficient sparsely activated transformers S Latifi, S Muralidharan, M Garland arXiv preprint arXiv:2208.14580, 2022 | 3 | 2022 |
SoftFusion: A Low-Cost Approach to Enhance Reliability of Object Detection Applications S Latifi, B Zamirai, S Mahlke 2022 IEEE 40th International Conference on Computer Design (ICCD), 344-351, 2022 | 1 | 2022 |
Efficient and Dependable Deep Learning Systems S Latifi | | 2023 |
POSTER: Pairing Up CNNs for High Throughput Deep Learning B Zamirai, S Latifi, S Mahlke 2019 28th International Conference on Parallel Architectures and Compilation …, 2019 | | 2019 |
CNNdroid: GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android S Salar Latifi Oskouei, H Golestani, M Hashemi, S Ghiasi arXiv e-prints, arXiv: 1511.07376, 2015 | | 2015 |
Rietveld, Kristian 306 Rinard, Martin 39 Rodrigues, Luís 489 X Hu, Z Hu, H Huang, Z Hussain, R Iyer, RK Iyer, M Jadliwala, J Jang, ... | | |