| Deep learning inference in facebook data centers: Characterization, performance optimizations and hardware implications J Park, M Naumov, P Basu, S Deng, A Kalaiah, D Khudia, J Law, P Malani, ... arXiv preprint arXiv:1811.09886, 2018 | 227 | 2018 |
| Rumba: An online quality management system for approximate computing DS Khudia, B Zamirai, M Samadi, S Mahlke Proceedings of the 42nd Annual International Symposium on Computer …, 2015 | 190 | 2015 |
| Harnessing soft computations for low-budget fault tolerance DS Khudia, S Mahlke 2014 47th Annual IEEE/ACM International Symposium on Microarchitecture, 319-330, 2014 | 77 | 2014 |
| Efficient soft error protection for commodity embedded microprocessors using profile information DS Khudia, G Wright, S Mahlke Proceedings of the 13th ACM SIGPLAN/SIGBED International Conference on …, 2012 | 54 | 2012 |
| Fbgemm: Enabling high-performance low-precision deep learning inference D Khudia, J Huang, P Basu, S Deng, H Liu, J Park, M Smelyanskiy arXiv preprint arXiv:2101.05615, 2021 | 49 | 2021 |
| Low cost control flow protection using abstract control signatures DS Khudia, SA Mahlke LCTES, 3-12, 2013 | 46 | 2013 |
| Post-silicon bug diagnosis with inconsistent executions A DeOrio, DS Khudia, V Bertacco 2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 755-761, 2011 | 36 | 2011 |
| Quality control for approximate accelerators by error prediction DS Khudia, B Zamirai, M Samadi, S Mahlke IEEE Design & Test 33 (1), 43-50, 2015 | 34 | 2015 |
| BugMD: Automatic mismatch diagnosis for bug triaging B Mammo, M Furia, V Bertacco, S Mahlke, DS Khudia 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-7, 2016 | 23 | 2016 |
| Location-aware cache management for many-core processors with deep cache hierarchy J Park, RM Yoo, DS Khudia, CJ Hughes, D Kim Proceedings of the International Conference on High Performance Computing …, 2013 | 18 | 2013 |
| Efficient soft-error detection for low-precision deep learning recommendation models S Li, J Huang, PTP Tang, D Khudia, J Park, HD Dixit, Z Chen 2022 IEEE International Conference on Big Data (Big Data), 1556-1563, 2022 | 14 | 2022 |
| Low-precision hardware architectures meet recommendation model inference at scale Z Deng, J Park, PTP Tang, H Liu, J Yang, H Yuen, J Huang, D Khudia, ... IEEE Micro 41 (5), 93-100, 2021 | 13 | 2021 |
| Open-sourcing FBGEMM for state-of-the-art server-side inference DS Khudia, P Basu, S Deng engineering. fb. com/ml-applications/fbgemm, 2018 | 13 | 2018 |
| Llm inference performance engineering: Best practices M Agarwal, A Qureshi, LLN Sardana, J Quevedo, D Khudia Oct, 2023 | 12 | 2023 |
| MosaicBERT: A bidirectional encoder optimized for fast pretraining J Portes, A Trott, S Havens, D King, A Venigalla, M Nadeem, N Sardana, ... Advances in Neural Information Processing Systems 36, 3106-3130, 2023 | 8 | 2023 |
| Mosaicbert: How to train bert with a lunch money budget J Portes, AR Trott, S Havens, D King, A Venigalla, M Nadeem, N Sardana, ... Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023 | 7 | 2023 |
| Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications. CoRR abs/1811.09886 (2018) J Park, M Naumov, P Basu, S Deng, A Kalaiah, DS Khudia, J Law, ... arXiv preprint arXiv:1811.09886, 2018 | 6 | 2018 |
| System and method for statistical post-silicon validation V Bertacco, A Deorio, DS Khudia US Patent 9,411,007, 2016 | 5 | 2016 |
| Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale J Park, PTP Tang, H Liu, H Yuen, J Huang, D Khudia, X Wei, E Wen, ... arXiv preprint arXiv:2105.12676, 2021 | | 2021 |
| Apparatus and method for implementing a scratchpad memory using priority hint CJ Hughes, DS Khudia, D Kim, JS Park, RM Yoo US Patent 9,158,702, 2015 | | 2015 |
Scott MahlkeProfessor, Electrical Engineering and Computer Science Dept., University of MichiganDirección de correo verificada de umich.edu