| Accelerating scientific applications with sambanova reconfigurable dataflow architecture M Emani, V Vishwanath, C Adams, ME Papka, R Stevens, L Florescu, ... Computing in Science & Engineering 23 (2), 114-119, 2021 | 120 | 2021 |
| Smart, Adaptive Mapping of Parallelism in the Presence of External Workload MK Emani, Z Wang, MFPO Boyle | 75 | 2013 |
| Integrating algorithmic parameters into benchmarking and design space exploration in 3D scene understanding B Bodin, L Nardi, MZ Zia, H Wagstaff, G Sreekar Shenoy, M Emani, ... Proceedings of the 2016 International Conference on Parallel Architectures …, 2016 | 63 | 2016 |
| GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics M Zvyagin, A Brace, K Hippe, Y Deng, B Zhang, CO Bohorquez, A Clyde, ... The International Journal of High Performance Computing Applications 37 (6 …, 2023 | 46 | 2023 |
| Neural architecture search for transformers: A survey KT Chitty-Venkata, M Emani, V Vishwanath, AK Somani IEEE Access 10, 108374-108412, 2022 | 46 | 2022 |
| Celebrating Diversity: A Mixture of Experts Approach for Runtime Mapping in Dynamic Environments MK Emani, M O'Boyle 36th ACM SIGPLAN conference on Programming Language Design and Implementation, 2015 | 41 | 2015 |
| EReinit: Scalable and Efficient Fault-Tolerance for Bulk-Synchronous MPI Applications S Chakraborty, I Laguna, M Emani, K Mohror, D K. Panda, M Schulz, ... ExaMPI: Workshop on Exascale MPI, 2017 | 32 | 2017 |
| Bootstrapping parameter space exploration for fast tuning JJ Thiagarajan, N Jain, R Anirudh, A Gimenez, R Sridhar, A Marathe, ... Proceedings of the 2018 international conference on supercomputing, 385-395, 2018 | 28 | 2018 |
| MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems S Farrell, M Emani, J Balma, L Drescher, A Drozd, A Fink, G Fox, D Kanter, ... arXiv preprint arXiv:2110.11466, 2021 | 25 | 2021 |
| Languages and compilers for parallel computing V Adve, MJ Garzarán, P Petersen Springer, 2008 | 25 | 2008 |
| A survey of techniques for optimizing transformer inference KT Chitty-Venkata, S Mittal, M Emani, V Vishwanath, AK Somani Journal of Systems Architecture, 102990, 2023 | 21 | 2023 |
| Lm4hpc: Towards effective language model application in high-performance computing L Chen, PH Lin, T Vanderbruggen, C Liao, M Emani, B de Supinski International Workshop on OpenMP, 18-33, 2023 | 20 | 2023 |
| MELA: A visual analytics tool for studying multifidelity hpc system logs FNU Shilpika, B Lusch, M Emani, V Vishwanath, ME Papka, KL Ma 2019 IEEE/ACM Industry/University Joint International Workshop on Data …, 2019 | 19 | 2019 |
| Neural architecture search benchmarks: Insights and survey KT Chitty-Venkata, M Emani, V Vishwanath, AK Somani IEEE Access 11, 25217-25236, 2023 | 18 | 2023 |
| Hpc-gpt: Integrating large language model for high-performance computing X Ding, L Chen, M Emani, C Liao, PH Lin, T Vanderbruggen, Z Xie, ... Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 16 | 2023 |
| MPI stages: checkpointing MPI state for bulk synchronous applications N Sultana, A Skjellum, I Laguna, MS Farmer, K Mohror, M Emani Proceedings of the 25th European MPI Users' Group Meeting, 1-11, 2018 | 16 | 2018 |
| Machine learning guided optimal use of GPU unified memory H Xu, M Emani, PH Lin, L Hu, C Liao 2019 IEEE/ACM Workshop on Memory Centric High Performance Computing (MCHPC …, 2019 | 14 | 2019 |
| Is Data Placement Optimization Still Relevant On Newer GPUs? MAS Bari, L Stoltzfus, PH Lin, C Liao, M Emani, B Chapman | 14 | 2018 |
| FAIR for AI: An interdisciplinary and international community building perspective EA Huerta, B Blaiszik, LC Brinson, KE Bouchard, D Diaz, C Doglioni, ... Scientific data 10 (1), 487, 2023 | 13 | 2023 |
| 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 | 13 | 2021 |
Luigi NardiAssociate Professor in Machine Learning at Lund University; Research Staff at Stanford University在 cs.lth.se 的电子邮件经过验证
