| Understanding the Performance and Potential of Cloud Computing for Scientific Applications I Sadooghi, J Hernandez Martin, T Li, K Brandstatter, Y Zhao, ... Transactions on Cloud Computing, 2015 | 111 | 2015 |
| Turbine: A distributed-memory dataflow engine for high performance many-task applications JM Wozniak, TG Armstrong, K Maheshwari, EL Lusk, DS Katz, M Wilde, ... Fundamenta Informaticae 128 (3), 337-366, 2013 | 106* | 2013 |
| A data-driven workflow language for grids based on array programming principles J Montagnat, B Isnard, T Glatard, K Maheshwari, MB Fornarino Proceedings of the 4th Workshop on Workflows in Support of Large-Scale …, 2009 | 97 | 2009 |
| Coasters: uniform resource provisioning and access for clouds and grids M Hategan, J Wozniak, K Maheshwari 2011 Fourth IEEE International Conference on Utility and Cloud Computing …, 2011 | 74 | 2011 |
| Toward a reliable, secure and fault tolerant smart grid state estimation in the cloud K Maheshwari, M Lim, L Wang, K Birman, R van Renesse 2013 IEEE PES Innovative Smart Grid Technologies Conference (ISGT), 1-6, 2013 | 67 | 2013 |
| Summary of the first workshop on sustainable software for science: Practice and experiences (WSSSPE1) DS Katz, SCT Choi, H Lapp, K Maheshwari, F Löffler, M Turk, MD Hanwell, ... arXiv preprint arXiv:1404.7414, 2014 | 58 | 2014 |
| Workflow performance improvement using model-based scheduling over multiple clusters and clouds K Maheshwari, ES Jung, J Meng, V Morozov, V Vishwanath, R Kettimuthu Future generation computer systems 54, 206-218, 2016 | 48* | 2016 |
| FACE‐IT: A science gateway for food security research R Montella, D Kelly, W Xiong, A Brizius, J Elliott, R Madduri, ... Concurrency and Computation: Practice and Experience 27 (16), 4423-4436, 2015 | 38 | 2015 |
| Evaluating cloud computing techniques for smart power grid design using parallel scripting K Maheshwari, K Birman, J Wozniak, D Van Zandt 2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid …, 2013 | 36 | 2013 |
| The case for workflow-aware storage: An opportunity study LB Costa, H Yang, E Vairavanathan, A Barros, K Maheshwari, G Fedak, ... Journal of Grid Computing 13 (1), 95-113, 2015 | 35 | 2015 |
| Discovering RNA-protein interactome by using chemical context profiling of the RNA-protein interface M Parisien, X Wang, G Perdrizet II, C Lamphear, CA Fierke, ... Cell reports 3 (5), 1703-1713, 2013 | 29 | 2013 |
| Virtual lab for fmri: Bridging the usability gap SD Olabarriaga, PT De Boer, K Maheshwari, A Belloum, JG Snel, ... 2006 Second IEEE International Conference on e-Science and Grid Computing (e …, 2006 | 26 | 2006 |
| Enabling Multi-task computation on Galaxy-based Gateways using Swift K Maheshwari, A Rodriguez, D Kelly, R Madduri, J Wozniak, M Wilde, ... 2013 IEEE International Conference on Cluster Computing (CLUSTER), 1-3, 2013 | 24* | 2013 |
| Scientific workflow development using both visual and script-based representation K Maheshwari, J Montagnat 2010 6th World Congress on Services, 328-335, 2010 | 24* | 2010 |
| Medical image processing workflow support on the EGEE grid with taverna K Maheshwari, C Goble, P Missier, J Montagnat 2009 22nd IEEE International Symposium on Computer-Based Medical Systems, 1-7, 2009 | 18 | 2009 |
| Pressure induced elastic softening in framework aluminosilicate-albite (NaAlSi3O8) M Mookherjee, D Mainprice, K Maheshwari, O Heinonen, D Patel, ... Scientific reports 6 (1), 1-10, 2016 | 16 | 2016 |
| Workflow-based comparison of two distributed computing infrastructures J Montagnat, T Glatard, D Reimert, K Maheshwari, E Caron, F Desprez The 5th Workshop on Workflows in Support of Large-Scale Science, 1-10, 2010 | 15 | 2010 |
| Tiago Pais Pitta de Lacerda Ruivo, Gabriele Garzoglio, Steven Timm, Yong Zhao, and Ioan Raicu. Understanding the performance and potential of cloud computing for scientific … I Sadooghi, JH Martin, T Li, K Brandstatter, K Maheshwari IEEE Transaction on Cloud Computing (TCC), 2015 | 14 | 2015 |
| Strategies to deploy and scale deep learning on the summit supercomputer J Yin, S Gahlot, N Laanait, K Maheshwari, J Morrison, S Dash, M Shankar 2019 IEEE/ACM Third Workshop on Deep Learning on Supercomputers (DLS), 84-94, 2019 | 12 | 2019 |
| Interlanguage parallel scripting for distributed-memory scientific computing JM Wozniak, TG Armstrong, K Maheshwari, DS Katz, M Wilde, IT Foster Proceedings of the 10th Workshop on Workflows in Support of Large-Scale …, 2015 | 12 | 2015 |
Michael WildeSoftware Architect, Argonne National Laboratory and Fellow, Computation Institute, University of ChicagoEmail confirmado em mcs.anl.gov
