| Going beyond classification accuracy metrics in model compression V Joseph, SA Siddiqui, A Bhaskara, G Gopalakrishnan, S Muralidharan, ... arXiv preprint arXiv:2012.01604, 2020 | 19* | 2020 |
| A programmable approach to neural network compression V Joseph, GL Gopalakrishnan, S Muralidharan, M Garland, A Garg IEEE Micro 40 (5), 17-25, 2020 | 18 | 2020 |
| A programmable approach to model compression V Joseph, S Muralidharan, A Garg, M Garland, G Gopalakrishnan arXiv preprint arXiv:1911.02497, 2019 | 14 | 2019 |
| Correctness-preserving compression of datasets and neural network models V Joseph, N Chalapathi, A Bhaskara, G Gopalakrishnan, P Panchekha, ... 2020 IEEE/ACM 4th International Workshop on Software Correctness for HPC …, 2020 | 7 | 2020 |
| Bayesian optimization of sparsity ratios in model compression S Muralidharan, V Joseph, G Animesh, M Garland US Patent App. 16/785,044, 2021 | 5 | 2021 |
| ArctyrEX: Accelerated Encrypted Execution of General-Purpose Applications C Gouert, V Joseph, S Dalton, C Augonnet, M Garland, NG Tsoutsos arXiv preprint arXiv:2306.11006, 2023 | 4 | 2023 |
| MADONNA: A Framework for Energy Measurements and Assistance in Designing Low Power Deep Neural Networks V Joseph, C Nagarajan | 4 | 2020 |
| Message scheduling for performant, many-core belief propagation M Van der Merwe, V Joseph, G Gopalakrishnan 2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2019 | 4 | 2019 |
| Accelerated Encrypted Execution of General-Purpose Applications. C Gouert, V Joseph, S Dalton, C Augonnet, M Garland, NG Tsoutsos IACR Cryptol. ePrint Arch. 2023, 641, 2023 | 3 | 2023 |
| Understanding the Effect of the Long Tail on Neural Network Compression H Dam, V Joseph, A Bhaskara, G Gopalakrishnan, S Muralidharan, ... arXiv preprint arXiv:2306.06238, 2023 | 2 | 2023 |
| Programmable Neural Network Compression with Correctness Emphasis V Joseph The University of Utah, 2021 | 2 | 2021 |
| Message Scheduling for Performant, Many-Core Belief Propagation MV Merwe, V Joseph, G Gopalakrishnan Message Scheduling for Performant, Many-Core Belief Propagation, 2019 | | 2019 |
| Correctness 2022 Workshop Organization I Laguna–LLNL, CRGUC Davis, V Joseph, S Mukherjee, S Pollard | | |
| LIFE SCIENCE EDGE VG Joseph, B Sunil, MS Sheeja, R Prathipa, VN Shetty, GS Prabhakara, ... | | |
| A Programming System for Model Compression V Joseph, S Muralidharan, A Garg, M Garland, G Gopalakrishnan | | |
| Predicting Reproducibility of Floating-Point Code M Bentley, V Joseph | | |
Michael GarlandSenior Director of Research, NVIDIA在 nvidia.com 的电子邮件经过验证
