William Kramer
William Kramer
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Cited by
Cited by
C Porter, P Morin, I Howat, MJ Noh, B Bates, K Peterman, S Keesey, ...
Harvard dataverse 1, 2018-30.08, 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
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
Understanding the causes of performance variability in HPC workloads
D Skinner, W Kramer
IEEE International. 2005 Proceedings of the IEEE Workload Characterization …, 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
Performance modeling for systematic performance tuning
T Hoefler, W Gropp, W Kramer, M Snir
State of the Practice Reports, 1-12, 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
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
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
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
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
Performance variability of highly parallel architectures
WTC Kramer, C Ryan
International Conference on Computational Science, 560-569, 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
Race to exascale
J Dongarra, S Gottlieb, WTC Kramer
Computing in science & engineering 21 (1), 4-5, 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
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
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
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
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
Measuring Congestion in {High-Performance} Datacenter Interconnects
S Jha, A Patke, J Brandt, A Gentile, B Lim, M Showerman, G Bauer, ...
17th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2020
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