| MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters B Li, T Patel, S Samsi, V Gadepally, D Tiwari Proceedings of the 13th Symposium on Cloud Computing, 173-189, 2022 | 31 | 2022 |
| Experimental evaluation of nisq quantum computers: error measurement, characterization, and implications T Patel, A Potharaju, B Li, RB Roy, D Tiwari SC20: International Conference for High Performance Computing, Networking …, 2020 | 30 | 2020 |
| Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models J McDonald, B Li, N Frey, D Tiwari, V Gadepally, S Samsi arXiv preprint arXiv:2205.09646, 2022 | 23 | 2022 |
| {UREQA}: Leveraging {Operation-Aware} Error Rates for Effective Quantum Circuit Mapping on {NISQ-Era} Quantum Computers T Patel, B Li, RB Roy, D Tiwari 2020 USENIX Annual Technical Conference (USENIX ATC 20), 705-711, 2020 | 23 | 2020 |
| From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference S Samsi, D Zhao, J McDonald, B Li, A Michaleas, M Jones, W Bergeron, ... 2023 IEEE High Performance Extreme Computing Conference (HPEC), 1-9, 2023 | 19 | 2023 |
| AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications B Li, R Arora, S Samsi, T Patel, W Arcand, D Bestor, C Byun, RB Roy, ... 2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 17 | 2022 |
| The mit supercloud dataset S Samsi, ML Weiss, D Bestor, B Li, M Jones, A Reuther, D Edelman, ... 2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2021 | 16 | 2021 |
| RIBBON: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances B Li, RB Roy, T Patel, V Gadepally, K Gettings, D Tiwari Proceedings of the International Conference for High Performance Computing …, 2021 | 15 | 2021 |
| Characterizing Multi-Instance GPU for Machine Learning Workloads B Li, V Gadepally, S Samsi, D Tiwari 2022 IEEE International Parallel and Distributed Processing Symposium …, 2022 | 10 | 2022 |
| Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems B Li, R Basu Roy, D Wang, S Samsi, V Gadepally, D Tiwari Proceedings of the International Conference for High Performance Computing …, 2023 | 9* | 2023 |
| Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service B Li, S Samsi, V Gadepally, D Tiwari Proceedings of the International Conference for High Performance Computing …, 2023 | 9* | 2023 |
| Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources B Li, S Samsi, V Gadepally, D Tiwari Proceedings of the 32nd International Symposium on High-Performance Parallel …, 2023 | 7* | 2023 |
| Benchmarking resource usage for efficient distributed deep learning NC Frey, B Li, J McDonald, D Zhao, M Jones, D Bestor, D Tiwari, ... 2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2022 | 6 | 2022 |
| The mit supercloud workload classification challenge BJ Tang, Q Chen, ML Weiss, NC Frey, J McDonald, D Bestor, C Yee, ... 2022 IEEE International Parallel and Distributed Processing Symposium …, 2022 | 3 | 2022 |
| Serving Machine Learning Inference Using Heterogeneous Hardware B Li, V Gadepally, S Samsi, M Veillette, D Tiwari 2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2021 | 3 | 2021 |
| Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference B Li, Y Jiang, V Gadepally, D Tiwari arXiv preprint arXiv:2403.12900, 2024 | 1 | 2024 |
| Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale D Zhao, S Samsi, J McDonald, B Li, D Bestor, M Jones, D Tiwari, ... Proceedings of the 2023 ACM Symposium on Cloud Computing, 588-596, 2023 | 1 | 2023 |
| DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters B Li, T Patel, V Gadepally, K Gettings, S Samsi, D Tiwari 2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2022 | 1 | 2022 |
| Synergistic Signals: Exploiting Co-Engagement and Semantic Links via Graph Neural Networks Z Huang, B Li, H Asgharzadeh, A Cocos, L Liu, E Cox, C Wise, ... arXiv preprint arXiv:2312.04071, 2023 | | 2023 |
| Do temperature and humidity exposures hurt or benefit your SSDs? A Maruf, S Brahmakshatriya, B Li, D Tiwari, G Quan, J Bhimani 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 352-357, 2022 | | 2022 |
Vijay GadepallyMITEmail verificata su mit.edu
