| SMApproxlib library of FPGA-based approximate multipliers S Ullah, SS Murthy, A Kumar Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 95 | 2018 |
| Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators S Ullah, S Rehman, BS Prabakaran, F Kriebel, MA Hanif, M Shafique, ... Proceedings of the 55th annual design automation conference, 1-6, 2018 | 94 | 2018 |
| High-performance accurate and approximate multipliers for FPGA-based hardware accelerators S Ullah, S Rehman, M Shafique, A Kumar IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 71 | 2021 |
| DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems BS Prabakaran, S Rehman, MA Hanif, S Ullah, G Mazaheri, A Kumar, ... 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 917-920, 2018 | 66 | 2018 |
| Area-optimized accurate and approximate softcore signed multiplier architectures S Ullah, H Schmidl, SS Sahoo, S Rehman, A Kumar IEEE Transactions on Computers 70 (3), 384-392, 2020 | 54 | 2020 |
| RFAIDE—An RFID based navigation and object recognition assistant for visually impaired people M Murad, A Rehman, AA Shah, S Ullah, M Fahad, KM Yahya 2011 7th International Conference on Emerging Technologies, 1-4, 2011 | 53 | 2011 |
| Energy-efficient low-latency signed multiplier for FPGA-based hardware accelerators S Ullah, TDA Nguyen, A Kumar IEEE Embedded Systems Letters 13 (2), 41-44, 2020 | 26 | 2020 |
| ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems S Nambi, S Ullah, SS Sahoo, A Lohana, F Merchant, A Kumar IEEE Access 9, 103691-103708, 2021 | 25 | 2021 |
| LeAp: Leading-one detection-based softcore approximate multipliers with tunable accuracy Z Ebrahimi, S Ullah, A Kumar 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 605-610, 2020 | 24 | 2020 |
| AppAxO: Designing Application-specific Approximate Operators for FPGA-based Embedded Systems S Ullah, SS Sahoo, N Ahmed, D Chaudhury, A Kumar ACM Transactions on Embedded Computing Systems (TECS) 21 (3), 1-31, 2022 | 17 | 2022 |
| SIMDive: Approximate SIMD soft multiplier-divider for FPGAs with tunable accuracy Z Ebrahimi, S Ullah, A Kumar Proceedings of the 2020 on Great Lakes Symposium on VLSI, 151-156, 2020 | 17 | 2020 |
| A novel structure of the Smith-Waterman Algorithm for efficient sequence alignment SK Zahid, L Hasan, AA Khan, S Ullah 2015 Third International Conference on Digital Information, Networking, and …, 2015 | 16 | 2015 |
| Align: A highly accurate adaptive layerwise log_2_lead quantization of pre-trained neural networks S Gupta, S Ullah, K Ahuja, A Tiwari, A Kumar IEEE Access 8, 118899-118911, 2020 | 15 | 2020 |
| Design methodology for embedded approximate artificial neural networks A Balaji, S Ullah, A Das, A Kumar Proceedings of the 2019 on Great Lakes Symposium on VLSI, 489-494, 2019 | 15 | 2019 |
| ReLAccS: A Multilevel Approach to Accelerator Design for Reinforcement Learning on FPGA-Based Systems AR Baranwal, S Ullah, SS Sahoo, A Kumar IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 11 | 2020 |
| CLAppED: A design framework for implementing cross-layer approximation in FPGA-based embedded systems S Ullah, SS Sahoo, A Kumar 2021 58th ACM/IEEE Design Automation Conference (DAC), 475-480, 2021 | 10 | 2021 |
| L2L: A highly accurate Log_2_Lead quantization of pre-trained neural networks S Ullah, S Gupta, K Ahuja, A Tiwari, A Kumar 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 979-982, 2020 | 9 | 2020 |
| MemOReL A Memory-oriented Optimization Approach to Reinforcement Learning on FPGA-based Embedded Systems SS Sahoo, AR Baranwal, S Ullah, A Kumar Proceedings of the 2021 on Great Lakes Symposium on VLSI, 339-346, 2021 | 7 | 2021 |
| A machine learning approach to recognize junk food TA Khan, MS Islam, SMA Ullah, AKMSA Rabby 2019 10th International Conference on Computing, Communication and …, 2019 | 6 | 2019 |
| Multi-precision deep neural network acceleration on fpgas N Neda, S Ullah, A Ghanbari, H Mahdiani, M Modarressi, A Kumar 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 454-459, 2022 | 5 | 2022 |
Akash KumarFull Professor, Chair of Embedded Systems, Ruhr University Bochum在 rub.de 的电子邮件经过验证
