| 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 | 459 | 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 | 425 | 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 | 407 | 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 | 281 | 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 | 254 | 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 | 251 | 2013 |
| 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 | 245 | 2014 |
| 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 | 245 | 2008 |
| 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 | 241 | 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 | 236 | 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 | 225 | 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 | 220 | 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 | 201 | 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 | 192 | 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 | 179 | 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 | 175 | 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 | 156 | 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 | 152 | 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 | 138 | 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 | 135 | 2014 |
