ArcticDEM C Porter, P Morin, I Howat, MJ Noh, B Bates, K Peterman, S Keesey, ... Harvard dataverse 1, 2018-30.08, 2018 | 494 | 2018 |
Lessons learned from the analysis of system failures at petascale: The case of blue waters C Di Martino, Z Kalbarczyk, RK Iyer, F Baccanico, J Fullop, W Kramer 2014 44th Annual IEEE/IFIP International Conference on Dependable Systems …, 2014 | 269 | 2014 |
Fault prediction under the microscope: A closer look into HPC systems A Gainaru, F Cappello, M Snir, W Kramer SC'12: Proceedings of the International Conference on High Performance …, 2012 | 180 | 2012 |
Understanding the causes of performance variability in HPC workloads D Skinner, W Kramer IEEE International. 2005 Proceedings of the IEEE Workload Characterization …, 2005 | 169 | 2005 |
Big data and extreme-scale computing: Pathways to convergence-toward a shaping strategy for a future software and data ecosystem for scientific inquiry M Asch, T Moore, R Badia, M Beck, P Beckman, T Bidot, F Bodin, ... The International Journal of High Performance Computing Applications 32 (4 …, 2018 | 150 | 2018 |
Performance modeling for systematic performance tuning T Hoefler, W Gropp, W Kramer, M Snir State of the Practice Reports, 1-12, 2011 | 124 | 2011 |
Taming of the shrew: Modeling the normal and faulty behaviour of large-scale hpc systems A Gainaru, F Cappello, W Kramer 2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012 | 111 | 2012 |
The Blue Waters super-system for super-science B Bode, M Butler, T Dunning, T Hoefler, W Kramer, W Gropp, W Hwu Contemporary high performance computing, 339-366, 2017 | 81 | 2017 |
Measuring and understanding extreme-scale application resilience: A field study of 5,000,000 HPC application runs C Di Martino, W Kramer, Z Kalbarczyk, R Iyer 2015 45th Annual IEEE/IFIP International Conference on Dependable Systems …, 2015 | 78 | 2015 |
Enabling real-time multi-messenger astrophysics discoveries with deep learning EA Huerta, G Allen, I Andreoni, JM Antelis, E Bachelet, GB Berriman, ... Nature Reviews Physics 1 (10), 600-608, 2019 | 74 | 2019 |
Failure prediction for HPC systems and applications: Current situation and open issues A Gainaru, F Cappello, M Snir, W Kramer The International journal of high performance computing applications 27 (3 …, 2013 | 65 | 2013 |
Performance variability of highly parallel architectures WTC Kramer, C Ryan International Conference on Computational Science, 560-569, 2003 | 57 | 2003 |
Adaptive event prediction strategy with dynamic time window for large-scale hpc systems A Gainaru, F Cappello, J Fullop, S Trausan-Matu, W Kramer Managing Large-scale Systems via the Analysis of System Logs and the …, 2011 | 54 | 2011 |
Race to exascale J Dongarra, S Gottlieb, WTC Kramer Computing in science & engineering 21 (1), 4-5, 2019 | 45 | 2019 |
ESP: A system utilization benchmark AT Wong, L Oliker, WTC Kramer, TL Kaltz, DH Bailey SC'00: Proceedings of the 2000 ACM/IEEE Conference on Supercomputing, 15-15, 2000 | 42 | 2000 |
Deep scientific computing requires deep data WTC Kramer, A Shoshani, DA Agarwal, BR Draney, G Jin, GF Butler, ... IBM Journal of Research and Development 48 (2), 209-232, 2004 | 39 | 2004 |
Optimization of the coupled cluster implementation in NWChem on petascale parallel architectures VM Anisimov, GH Bauer, K Chadalavada, RM Olson, JW Glenski, ... Journal of Chemical Theory and Computation 10 (10), 4307-4316, 2014 | 38 | 2014 |
Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure EA Huerta, A Khan, E Davis, C Bushell, WD Gropp, DS Katz, ... Journal of Big Data 7, 1-12, 2020 | 37 | 2020 |
Logdiver: A tool for measuring resilience of extreme-scale systems and applications CD Martino, S Jha, W Kramer, Z Kalbarczyk, RK Iyer Proceedings of the 5th Workshop on Fault Tolerance for HPC at eXtreme Scale …, 2015 | 34 | 2015 |
Workload analysis of blue waters MD Jones, JP White, M Innus, RL DeLeon, N Simakov, JT Palmer, ... arXiv preprint arXiv:1703.00924, 2017 | 27 | 2017 |