| Carbon emissions and large neural network training D Patterson, J Gonzalez, Q Le, C Liang, LM Munguia, D Rothchild, D So, ... arXiv preprint arXiv:2104.10350, 2021 | 814 | 2021 |
| The carbon footprint of machine learning training will plateau, then shrink D Patterson, J Gonzalez, U Hölzle, Q Le, C Liang, LM Munguia, ... Computer 55 (7), 18-28, 2022 | 330 | 2022 |
| Load balanced clustering coefficients O Green, LM Munguía, DA Bader Proceedings of the first workshop on Parallel programming for analytics …, 2014 | 32 | 2014 |
| Task-based parallel breadth-first search in heterogeneous environments LM Munguia, DA Bader, E Ayguade 2012 19th International Conference on High Performance Computing, 1-10, 2012 | 28 | 2012 |
| Alternating Criteria Search: A Parallel Large Neighborhood Search Algorithm for Mixed Integer Programs LM Munguía, S Ahmed, DA Bader, GL Nemhauser, Y Shao | 27 | 2016 |
| A parallel local search framework for the fixed-charge multicommodity network flow problem LM Munguía, S Ahmed, DA Bader, GL Nemhauser, V Goel, Y Shao Computers & Operations Research 77, 44-57, 2017 | 25 | 2017 |
| Carbon emissions and large neural network training. arXiv 2021 D Patterson, J Gonzalez, Q Le, C Liang, LM Munguia, D Rothchild, D So, ... arXiv preprint arXiv:2104.10350, 0 | 24 | |
| PIPS-SBB: A parallel distributed-memory branch-and-bound algorithm for stochastic mixed-integer programs LM Munguía, G Oxberry, D Rajan 2016 IEEE International Parallel and Distributed Processing Symposium …, 2016 | 19 | 2016 |
| Parallel pips-sbb: Multi-level parallelism for stochastic mixed-integer programs LM Munguia, G Oxberry, D Rajan, Y Shinano | 17 | 2017 |
| & Dean, J.(2021). Carbon emissions and large neural network training D Patterson, J Gonzalez, Q Le, C Liang, LM Munguia, D Rothchild arXiv preprint arXiv 2104, 0 | 13 | |
| Tailoring parallel alternating criteria search for domain specific MIPs: application to maritime inventory routing LM Munguía, S Ahmed, DA Bader, GL Nemhauser, Y Shao, ... Computers & Operations Research 111, 21-34, 2019 | 11 | 2019 |
| Carbon emissions andlarge neural network training D Patterson, J Gonzalez, Q Le, C Liang, LM Munguia, D Rothchild, D So, ... arXiv preprint arXiv:2104.10350, 2021 | 7 | 2021 |
| Carbon emissions and large neural network training (pp. 1–22) D Patterson, J Gonzalez, Q Le, C Liang, LM Munguia, D Rothchild, D So, ... arXiv preprint arXiv:2104.10350, 2021 | 4 | 2021 |
| The Carbon Footprint of Machine Learning Training Will Level Out and Then Reduce C Liang, D Patterson, DR So, J Dean, LM Munguia, M Texier, QV Le | | 2022 |
| High performance computing algorithms for discrete optimization LMM Munguia Conejero Georgia Institute of Technology, 2017 | | 2017 |
| Parallel Interior Point Solver-Simple Branch & Bound G Oxberry, LM Munguia, D Rajan Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2015 | | 2015 |
| IA3 2014 O Green, P Yalamanchili, LM Munguía | | |
David A. BaderDistinguished Professor, New Jersey Institute of TechnologyVerified email at njit.edu
