| Modeling the impact of checkpoints on next-generation systems RA Oldfield, S Arunagiri, PJ Teller, S Seelam, MR Varela, R Riesen, ... 24th IEEE Conference on Mass Storage Systems and Technologies (MSST 2007), 30-46, 2007 | 186 | 2007 |
| Topology-aware gpu scheduling for learning workloads in cloud environments M Amaral, J Polo, D Carrera, S Seelam, M Steinder Proceedings of the International Conference for High Performance Computing …, 2017 | 108 | 2017 |
| Methods and apparatus for resource capacity evaluation in a system of virtual containers F Benedetti, N Bobroff, LL Fong, Y Liu, SR Seelam US Patent 9,229,783, 2016 | 102 | 2016 |
| Granite code models: A family of open foundation models for code intelligence M Mishra, M Stallone, G Zhang, Y Shen, A Prasad, AM Soria, M Merler, ... arXiv preprint arXiv:2405.04324, 2024 | 91 | 2024 |
| Virtual I/O scheduler: a scheduler of schedulers for performance virtualization SR Seelam, PJ Teller Proceedings of the 3rd international conference on Virtual execution …, 2007 | 89 | 2007 |
| Autoscaling applications in shared cloud resources P Dettori, X Meng, SR Seelam, PH Westerink US Patent 9,547,534, 2017 | 78 | 2017 |
| Coordinated, topology-aware CPU-GPU-memory scheduling for containerized workloads LL Fong, SR Seetharami, W Tan US Patent 10,896,064, 2021 | 71 | 2021 |
| Scheduling a parallel job in a system of virtual containers N Bobroff, LL Fong, Y Liu, SR Seelam US Patent 8,869,164, 2014 | 64 | 2014 |
| Methods and devices for determining quality of services of storage systems SR Seelam, PJ Teller US Patent 8,099,565, 2012 | 60 | 2012 |
| IBM deep learning service B Bhattacharjee, S Boag, C Doshi, P Dube, B Herta, V Ishakian, ... IBM Journal of Research and Development 61 (4/5), 10: 1-10: 11, 2017 | 59 | 2017 |
| Automated detection of application performance bottlenecks IH Chung, G Cong, DJ Klepacki, S Sbaraglia, SR Seelam, HF Wen US Patent 8,225,291, 2012 | 51 | 2012 |
| Extreme scale computing: Modeling the impact of system noise in multicore clustered systems S Seelam, L Fong, A Tantawi, J Lewars, J Divirgilio, K Gildea 2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010 | 46 | 2010 |
| Resource management for running hpc applications in container clouds S Herbein, A Dusia, A Landwehr, S McDaniel, J Monsalve, Y Yang, ... International Conference on High Performance Computing, 261-278, 2016 | 41 | 2016 |
| Enhancements to linux i/o scheduling S Seelam, R Romero, P Teller, B Buros Proceedings of the Linux Symposium 2, 175-192, 2005 | 38 | 2005 |
| Identification of localizable function calls MH Dawson, Y Gao, M Ito, G Johnson, SR Seelam US Patent 8,627,291, 2014 | 35 | 2014 |
| Programmable framework for automatic tuning of software applications IH Chung, G Cong, DJ Klepacki, S Sbaraglia, SR Seelam, HF Wen US Patent 8,327,325, 2012 | 35 | 2012 |
| Early experiences in application level I/O tracing on Blue Gene systems S Seelam, IH Chung, DY Hong, HF Wen, H Yu 2008 IEEE International Symposium on Parallel and Distributed Processing, 1-8, 2008 | 32 | 2008 |
| Predictive layer pre-provisioning in container-based virtualization P Dettori, AR Low, AJ Quirk, SR Seelam, MJ Spreitzer, M Steinder, L Sun US Patent 10,146,563, 2018 | 30 | 2018 |
| PROVIDING eFOLIOS PK Malkin, JA Martino, J von Kaenel, SR Seelam US Patent App. 13/278,842, 2013 | 30 | 2013 |
| Hoard: A distributed data caching system to accelerate deep learning training on the cloud C Pinto, Y Gkoufas, A Reale, S Seelam, S Eliuk arXiv preprint arXiv:1812.00669, 2018 | 29 | 2018 |
Liana FongIBM T. J. Watson Research CenterVerified email at us.ibm.com
