| DeepNVM++: Cross-layer modeling and optimization framework of non-volatile memories for deep learning A Inci, MM Isgenc, D Marculescu IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021 | 24 | 2021 |
| The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems A Inci, E Bolotin, Y Fu, G Dalal, S Mannor, D Nellans, D Marculescu arXiv preprint arXiv:2012.04210, 2020 | 19 | 2020 |
| DeepNVM: A framework for modeling and analysis of non-volatile memory technologies for deep learning applications AF Inci, MM Isgenc, D Marculescu 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020 | 19 | 2020 |
| Computational analysis of network activity and spatial reach of sharp wave-ripples S Canakci, MF Toy, AF Inci, X Liu, D Kuzum PloS one 12 (9), e0184542, 2017 | 9 | 2017 |
| QUIDAM: A Framework for Quantization-aware DNN Accelerator and Model Co-Exploration A Inci, S Virupaksha, A Jain, TW Chin, V Thallam, R Ding, D Marculescu ACM Transactions on Embedded Computing Systems 22 (2), 1-21, 2023 | 7 | 2023 |
| QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators A Inci, SG Virupaksha, A Jain, VV Thallam, R Ding, D Marculescu 2nd On-Device Intelligence Workshop, MLSys'21, 2021 | 7 | 2021 |
| Cross-Layer Design Space Exploration of NVM-based Caches for Deep Learning A Inci, MM Isgenc, D Marculescu 12th Non-Volatile Memories Workshop (NVMW), 2021 | 7 | 2021 |
| Efficient deep learning using non-volatile memory technology A Inci, MM Isgenc, D Marculescu arXiv preprint arXiv:2206.13601, 2022 | 6 | 2022 |
| QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality A Inci, SG Virupaksha, A Jain, VV Thallam, R Ding, D Marculescu Machine Learning for Computer Architecture and Systems Workshop, ISCA'21, 2021 | 5 | 2021 |
| Solving the non-volatile memory conundrum for deep learning workloads A Inci, D Marculescu 8th Workshop on Architectures and Systems for Big Data (ASBD), ISCA, 2018 | 5 | 2018 |
| Scalable and Efficient Systems for Deep Learning AF Inci Carnegie Mellon University, 2022 | 3 | 2022 |
| Efficient Deep Learning Using Non-volatile Memory Technology in GPU Architectures A Inci, MM Isgenc, D Marculescu Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing …, 2023 | 1 | 2023 |
| Specializing Neural Networks for Heterogeneous Systems DD Loh, L Meng, S Naveen, E Kunze, AF Inci US Patent App. 16/724,849, 2021 | | 2021 |
Diana MarculescuThe University of Texas at AustinEmail verificata su utexas.edu