| From high-level deep neural models to FPGAs H Sharma, J Park, D Mahajan, E Amaro, JK Kim, C Shao, A Mishra, ... 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016 | 652 | 2016 |
| AxBench: A Multiplatform Benchmark Suite for Approximate Computing A Yazdanbakhsh, D Mahajan, H Esmaeilzadeh, P Lotfi-Kamran IEEE Design & Test 34 (2), 60-68, 2017 | 284 | 2017 |
| Tabla: A unified template-based framework for accelerating statistical machine learning D Mahajan, J Park, E Amaro, H Sharma, A Yazdanbakhsh, JK Kim, ... 2016 IEEE International Symposium on High Performance Computer Architecture …, 2016 | 219 | 2016 |
| Axilog: Language support for approximate hardware design A Yazdanbakhsh, D Mahajan, B Thwaites, J Park, A Nagendrakumar, ... 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 812-817, 2015 | 95 | 2015 |
| Efficient algorithms for device placement of DNN graph operators JM Tarnawski, A Phanishayee, N Devanur, D Mahajan, ... Advances in Neural Information Processing Systems 33, 2020 | 72 | 2020 |
| Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration D Mahajan, A Yazdanbakhsh, J Park, B Thwaites, H Esmaeilzadeh 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture …, 2016 | 70 | 2016 |
| Accelerating Recommendation System Training by Leveraging Popular Choices M Adnan, YE Maboud, D Mahajan, PJ Nair PVLDB 15 (1), 127-140, 2022 | 64 | 2022 |
| Scale-out acceleration for machine learning J Park, H Sharma, D Mahajan, JK Kim, P Olds, H Esmaeilzadeh Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 64 | 2017 |
| In-RDBMS Hardware Acceleration of Advanced Analytics D Mahajan, JK Kim, J Sacks, A Ardalan, A Kumar, H Esmaeilzadeh PVLDB 11 (11), 1317-1331, 2018 | 63 | 2018 |
| Robox: an end-to-end solution to accelerate autonomous control in robotics J Sacks, D Mahajan, RC Lawson, B Khaleghi, H Esmaeilzadeh 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018 | 40 | 2018 |
| AxGames: Towards crowdsourcing quality target determination in approximate computing J Park, E Amaro, D Mahajan, B Thwaites, H Esmaeilzadeh ACM SIGPLAN Notices 51 (4), 623-636, 2016 | 37 | 2016 |
| Memristor based adders D Mahajan, M Musaddiq, EE Swartzlander 2014 48th Asilomar Conference on Signals, Systems and Computers, 1256-1260, 2014 | 22 | 2014 |
| Axilog: Abstractions for approximate hardware design and reuse D Mahajan, K Ramkrishnan, R Jariwala, A Yazdanbakhsh, J Park, ... IEEE Micro, 2015 | 19 | 2015 |
| Heterogeneous acceleration pipeline for recommendation system training M Adnan, YE Maboud, D Mahajan, PJ Nair 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture …, 2024 | 17 | 2024 |
| Prediction-based quality control for approximate accelerators D Mahajan, A Yazdanbakhsh, J Park, B Thwaites, H Esmaeilzadeh Workshop on Approximate Computing Across the System Stack, 2015 | 17 | 2015 |
| NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing G Heo, S Lee, J Cho, H Choi, S Lee, H Ham, G Kim, D Mahajan, J Park Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 15 | 2024 |
| AxBench: A Benchmark Suite for Approximate Computing Across the System Stack A Yazdanbakhsh, D Mahajan, P Lotfi-Kamran, H Esmaeilzadeh Georgia Institute of Technology, 2016 | 14 | 2016 |
| A Computational Stack for Cross-Domain Acceleration S Kinzer, JK Kim, S Ghodrati, B Yatham, A Althoff, D Mahajan, S Lerner, ... 2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021 | 13 | 2021 |
| FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout I Wang, PJ Nair, D Mahajan Neural Information Processing Systems (NeurIPS 2023), 2023 | 9 | 2023 |
| Workload-Aware Hardware Architecture Recommendations A Phanishayee, D Mahajan, J Kulkarni, M Castro, M Adnan US Patent App. 17/965,681, 2024 | 5 | 2024 |
Hadi EsmaeilzadehAssociate Professor; Computer Science and Engineering; University of California, San DiegoDirección de correo verificada de eng.ucsd.edu
