| Fast distributed bandits for online recommendation systems K Mahadik, Q Wu, S Li, A Sabne Proceedings of the 34th ACM international conference on supercomputing, 1-13, 2020 | 74 | 2020 |
| Flexible resource allocation for reliable virtual cluster computing systems TJ Hacker, K Mahadik Proceedings of 2011 International Conference for High Performance Computing …, 2011 | 47 | 2011 |
| Sarvavid: a domain specific language for developing scalable computational genomics applications K Mahadik, C Wright, J Zhang, M Kulkarni, S Bagchi, S Chaterji Proceedings of the 2016 international conference on supercomputing, 1-12, 2016 | 31 | 2016 |
| Scalable Genomic Assembly through Parallel de Bruijn Graph Construction for Multiple K-mers K Mahadik, C Wright, M Kulkarni, S Bagchi, S Chaterji Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017 | 30 | 2017 |
| Orion: Scaling genomic sequence matching with fine-grained parallelization K Mahadik, S Chaterji, B Zhou, M Kulkarni, S Bagchi SC'14: Proceedings of the International Conference for High Performance …, 2014 | 25 | 2014 |
| Autoforecast: Automatic time-series forecasting model selection M Abdallah, R Rossi, K Mahadik, S Kim, H Zhao, S Bagchi Proceedings of the 31st ACM International Conference on Information …, 2022 | 17 | 2022 |
| System and method for resource scaling for efficient resource management KV Mahadik, RA Rossi, SM Lee, G Theocharous, H Zhao, G Wu, Y Park US Patent 11,487,579, 2022 | 15 | 2022 |
| Graph deep factors for forecasting with applications to cloud resource allocation H Chen, RA Rossi, K Mahadik, S Kim, H Eldardiry Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 14 | 2021 |
| Performance extraction and suitability analysis of multi-and many-core architectures for next generation sequencing secondary analysis S Misra, TC Pan, K Mahadik, G Powley, PN Vaidya, M Vasimuddin, ... Proceedings of the 27th International Conference on Parallel Architectures …, 2018 | 14 | 2018 |
| Workload characterization for MG-RAST metagenomic data analytics service in the cloud W Tang, J Bischof, N Desai, K Mahadik, W Gerlach, T Harrison, A Wilke, ... 2014 IEEE International Conference on Big Data (Big Data), 56-63, 2014 | 14 | 2014 |
| Linear quadratic regulator for resource-efficient cloud services Y Park, K Mahadik, RA Rossi, G Wu, H Zhao Proceedings of the ACM Symposium on Cloud Computing, 488-489, 2019 | 10 | 2019 |
| Graph deep factors for probabilistic time-series forecasting H Chen, RA Rossi, K Mahadik, S Kim, H Eldardiry ACM Transactions on Knowledge Discovery from Data 17 (2), 1-30, 2023 | 9 | 2023 |
| Lerna: transformer architectures for configuring error correction tools for short-and long-read genome sequencing A Sharma, P Jain, A Mahgoub, Z Zhou, K Mahadik, S Chaterji BMC bioinformatics 23 (1), 25, 2022 | 9 | 2022 |
| Scheduling ML training on unreliable spot instances S Yang, S Khuller, S Choudhary, S Mitra, K Mahadik Proceedings of the 14th IEEE/ACM International Conference on Utility and …, 2021 | 9 | 2021 |
| Sandpiper: A cost-efficient adaptive framework for online recommender systems P Thinakaran, K Mahadik, J Gunasekaran, MT Kandemir, CR Das 2022 IEEE International Conference on Big Data (Big Data), 423-430, 2022 | 4 | 2022 |
| AutoMARS: Searching to compress multi-modality recommendation systems D Hoang, H Wang, H Zhao, R Rossi, S Kim, K Mahadik, Z Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 4 | 2022 |
| Tackling Long-Tail Entities for Temporal Knowledge Graph Completion M Mirtaheri, RA Rossi, S Kim, K Mahadik, T Yu, X Chen, M Rostami Companion Proceedings of the ACM Web Conference 2024, 497-500, 2024 | 3 | 2024 |
| Hypergraph neural networks for time-series forecasting H Chen, RA Rossi, K Mahadik, S Kim, H Eldardiry 2023 IEEE International Conference on Big Data (BigData), 1076-1080, 2023 | 3 | 2023 |
| Deep Hybrid Graph-Based Forecasting Systems RA Rossi, H Chen, KV Mahadik, S Kim US Patent App. 17/089,157, 2022 | 2 | 2022 |
| A context integrated relational spatio-temporal model for demand and supply forecasting H Chen, RA Rossi, K Mahadik, H Eldardiry arXiv preprint arXiv:2009.12469, 2020 | 2 | 2020 |
Saurabh BagchiElectrical and Computer Engineering, Computer Science; Director Army A2I2 & NSF CHORUS; PurdueGeverifieerd e-mailadres voor purdue.edu
