Martin Schulz
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Efficiently exploring architectural design spaces via predictive modeling
E Ïpek, SA McKee, R Caruana, BR de Supinski, M Schulz
ACM SIGOPS Operating Systems Review 40 (5), 195-206, 2006
Toward exascale resilience: 2014 update
F Cappello, G Al, W Gropp, S Kale, B Kramer, M Snir
Supercomputing Frontiers and Innovations: an International Journal 1 (1), 5-28, 2014
Adagio: making DVS practical for complex HPC applications
B Rountree, DK Lownenthal, BR De Supinski, M Schulz, VW Freeh, ...
Proceedings of the 23rd international conference on Supercomputing, 460-469, 2009
Methods of inference and learning for performance modeling of parallel applications
BC Lee, DM Brooks, BR de Supinski, M Schulz, K Singh, SA McKee
Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of …, 2007
An approach to performance prediction for parallel applications
E Ipek, BR De Supinski, M Schulz, SA McKee
Euro-Par 2005 Parallel Processing: 11th International Euro-Par Conference …, 2005
Exploring traditional and emerging parallel programming models using a proxy application
I Karlin, A Bhatele, J Keasler, BL Chamberlain, J Cohen, Z DeVito, ...
2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013
A regression-based approach to scalability prediction
BJ Barnes, B Rountree, DK Lowenthal, J Reeves, B De Supinski, ...
Proceedings of the 22nd annual international conference on Supercomputing …, 2008
XSBench-the development and verification of a performance abstraction for Monte Carlo reactor analysis
JR Tramm, AR Siegel, T Islam, M Schulz
The Role of Reactor Physics toward a Sustainable Future (PHYSOR), 2014
Prediction models for multi-dimensional power-performance optimization on many cores
M Curtis-Maury, A Shah, F Blagojevic, DS Nikolopoulos, BR De Supinski, ...
Proceedings of the 17th international conference on Parallel architectures …, 2008
Beyond DVFS: A first look at performance under a hardware-enforced power bound
B Rountree, DH Ahn, BR De Supinski, DK Lowenthal, M Schulz
2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012
Bounding energy consumption in large-scale MPI programs
B Rountree, DK Lowenthal, S Funk, VW Freeh, BR De Supinski, M Schulz
Proceedings of the 2007 ACM/IEEE conference on Supercomputing, 1-9, 2007
Exploring hardware overprovisioning in power-constrained, high performance computing
T Patki, DK Lowenthal, B Rountree, M Schulz, BR De Supinski
Proceedings of the 27th international ACM conference on International …, 2013
Stack trace analysis for large scale debugging
DC Arnold, DH Ahn, BR De Supinski, GL Lee, BP Miller, M Schulz
2007 IEEE International Parallel and Distributed Processing Symposium, 1-10, 2007
Hybrid MPI/OpenMP power-aware computing
D Li, BR de Supinski, M Schulz, K Cameron, DS Nikolopoulos
2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010
Application-level checkpointing for shared memory programs
G Bronevetsky, D Marques, K Pingali, P Szwed, M Schulz
ACM SIGPLAN Notices 39 (11), 235-247, 2004
Scalatrace: Scalable compression and replay of communication traces for high-performance computing
M Noeth, P Ratn, F Mueller, M Schulz, BR De Supinski
Journal of Parallel and Distributed Computing 69 (8), 696-710, 2009
Analyzing and mitigating the impact of manufacturing variability in power-constrained supercomputing
Y Inadomi, T Patki, K Inoue, M Aoyagi, B Rountree, M Schulz, ...
Proceedings of the international conference for high performance computing …, 2015
A run-time system for power-constrained HPC applications
A Marathe, PE Bailey, DK Lowenthal, B Rountree, M Schulz, ...
High Performance Computing: 30th International Conference, ISC High …, 2015
Open| SpeedShop: An open source infrastructure for parallel performance analysis
M Schulz, J Galarowicz, D Maghrak, W Hachfeld, D Montoya, S Cranford
Scientific Programming 16 (2-3), 105-121, 2008
State of the Art of Performance Visualization.
KE Isaacs, A Giménez, I Jusufi, T Gamblin, A Bhatele, M Schulz, ...
EuroVis (STARs) 3, 6, 2014
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