| Performance evaluation of deep learning compilers for edge inference G Verma, Y Gupta, AM Malik, B Chapman 2021 IEEE international parallel and distributed processing symposium …, 2021 | 50 | 2021 |
| A green mechanism design approach to automate resource procurement in cloud DC Ketankumar, G Verma, K Chandrasekaran Procedia Computer Science 54, 108-117, 2015 | 21 | 2015 |
| Hpc ontology: Towards a unified ontology for managing training datasets and ai models for high-performance computing C Liao, PH Lin, G Verma, T Vanderbruggen, M Emani, Z Nan, X Shen 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2021 | 19 | 2021 |
| Enhancing dataracebench for evaluating data race detection tools G Verma, Y Shi, C Liao, B Chapman, Y Yan 2020 IEEE/ACM 4th International Workshop on Software Correctness for HPC …, 2020 | 19 | 2020 |
| Hpcfair: Enabling fair ai for hpc applications G Verma, M Emani, C Liao, PH Lin, T Vanderbruggen, X Shen, ... 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2021 | 14 | 2021 |
| Cross-feature transfer learning for efficient tensor program generation G Verma, S Raskar, M Emani, B Chapman Applied Sciences 14 (2), 513, 2024 | 5 | 2024 |
| Towards neural architecture-aware exploration of compiler optimizations in a deep learning {graph} compiler G Verma, S Finviya, AM Malik, M Emani, B Chapman Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022 | 5 | 2022 |
| Cluster Based Routing in NDN G Verma, A Nandewal, K Chandrasekaran 2015 12th International Conference on Information Technology-New Generations …, 2015 | 5 | 2015 |
| Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation G Verma, S Raskar, Z Xie, AM Malik, M Emani, B Chapman ExHET 23:: Proceedings of the 2nd International Workshop on Extreme …, 2023 | 2 | 2023 |
| Explore as a Storm, Exploit as a Raindrop: On the Benefit of Fine-Tuning Kernel Schedulers with Coordinate Descent M Canesche, G Verma, FMQ Pereira arXiv preprint arXiv:2406.20037, 2024 | 1 | 2024 |
| Polygonal Meshes Predicated Watermarking Algorithm to Avert Misinterpretation of ATM Cards G Verma, SM Gawande, M Bhura, S Koolagudi Procedia Computer Science 89, 587-596, 2016 | 1 | 2016 |
| A64FX Enables Engine Decarbonization Using Deep Learning R Ristow Hadlich, G Verma, T Curtis, E Siegmann, D Assanis Practice and Experience in Advanced Research Computing 2024: Human Powered …, 2024 | | 2024 |
| Improving Polyhedral-Based Optimizations With Dynamic Coordinate Descent G Verma, M Canesche, B Chapman, FMQ Pereira | | 2024 |
| Explore as a Storm, Exploit as a Droplet: A Unified Search Technique for the Ansor Optimizer M CANESCHE, G VERMA, FMQ PEREIRA | | 2024 |
| Explore as a Storm, Exploit as a Droplet: A Unified Search Technique for the MetaSchedule M CANESCHE, G VERMA, FMQ PEREIRA | | 2024 |
| Evaluating Tuning Opportunities of the LLVM/OpenMP Runtime S Chheda, G Verma, S Tian, B Chapman, J Doerfert | | 2024 |
| Modularizing Design Space Exploration And Optimizing Compilation-Time Of Deep Learning Workloads Using Tensor Compilers G Verma | | 2023 |
Barbara ChapmanProfessor of Applied Mathematics and Statistics and Computer Science, Stony Brook Universityایمیل تأیید شده در stonybrook.edu
