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 | 621 | 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 | 263 | 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 | 208 | 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 |
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 | 65 | 2016 |
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 | 62 | 2020 |
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 | 62 | 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 | 56 | 2018 |
Accelerating Recommendation System Training by Leveraging Popular Choices M Adnan, YE Maboud, D Mahajan, PJ Nair PVLDB 15 (1), 127-140, 2022 | 44 | 2022 |
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 | 36 | 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 | 36 | 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 |
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 |
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 |
Heterogeneous Acceleration Pipeline for Recommendation System Training M Adnan, YE Maboud, D Mahajan, PJ Nair arXiv preprint arXiv:2204.05436, 2022 | 12 | 2022 |
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 | 12 | 2021 |
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout I Wang, PJ Nair, D Mahajan Neural Information Processing Systems (NeurIPS 2023), 2023 | 5 | 2023 |
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 | 4 | 2024 |
Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks M Adnan, YE Maboud, D Mahajan, PJ Nair Machine Learning for Systems Workshop at 37th NeurIPS Conference, 2023, 2023 | 3 | 2023 |