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Babak Behzad
Babak Behzad
Machine Learning at Solvvy
Verificeret mail på illinois.edu - Startside
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Taming parallel I/O complexity with auto-tuning
B Behzad, HVT Luu, J Huchette, S Byna, Prabhat, R Aydt, Q Koziol, M Snir
Proceedings of the international conference on high performance computing …, 2013
1642013
Optimizing i/o performance of hpc applications with autotuning
B Behzad, S Byna, Prabhat, M Snir
ACM Transactions on Parallel Computing (TOPC) 5 (4), 1-27, 2019
692019
A multi-level approach for understanding I/O activity in HPC applications
H Luu, B Behzad, R Aydt, M Winslett
2013 IEEE International Conference on Cluster Computing (CLUSTER), 1-5, 2013
622013
Comparing the power and performance of Intel's SCC to state-of-the-art CPUs and GPUs
E Totoni, B Behzad, S Ghike, J Torrellas
2012 IEEE International Symposium on Performance Analysis of Systems …, 2012
622012
Improving parallel I/O autotuning with performance modeling
B Behzad, S Byna, SM Wild, M Prabhat, M Snir
Proceedings of the 23rd international symposium on High-performance parallel …, 2014
612014
Optimizing the Barnes-Hut algorithm in UPC
J Zhang, B Behzad, M Snir
Proceedings of 2011 International Conference for High Performance Computing …, 2011
472011
Pattern-driven parallel I/O tuning
B Behzad, S Byna, Prabhat, M Snir
Proceedings of the 10th Parallel Data Storage Workshop, 43-48, 2015
442015
Techniques for modeling large-scale HPC I/O workloads
S Snyder, P Carns, R Latham, M Mubarak, R Ross, C Carothers, ...
Proceedings of the 6th International Workshop on Performance Modeling …, 2015
422015
Parallel cartographic modeling: a methodology for parallelizing spatial data processing
E Shook, ME Hodgson, S Wang, B Behzad, K Soltani, A Hiscox, ...
International Journal of Geographical Information Science 30 (12), 2355-2376, 2016
292016
Dynamic model-driven parallel i/o performance tuning
B Behzad, S Byna, SM Wild, M Snir
2015 IEEE International Conference on Cluster Computing, 184-193, 2015
242015
Automatic generation of i/o kernels for hpc applications
B Behzad, HV Dang, F Hariri, W Zhang, M Snir
2014 9th Parallel Data Storage Workshop, 31-36, 2014
212014
Integrating CyberGIS gateway with Windows Azure: a case study on MODFLOW groundwater simulation
B Behzad, A Padmanabhan, Y Liu, Y Liu, S Wang
Proceedings of the ACM SIGSPATIAL Second International Workshop on High …, 2011
202011
A framework for auto-tuning HDF5 applications
B Behzad, J Huchette, HVT Luu, R Aydt, S Byna, Y Yao, Q Koziol, Prabhat
Proceedings of the 22nd international symposium on High-performance parallel …, 2013
172013
Design of a multithreaded Barnes-Hut algorithm for multicore clusters
J Zhang, B Behzad, M Snir
IEEE Transactions on parallel and distributed systems 26 (7), 1861-1873, 2014
132014
A performance profiling strategy for high-performance map re-projection of coarse-scale spatial raster data
B Behzad, Y Liu, E Shook, MP Finn, DM Mattli, S Wang
Auto-Carto 2012, a cartography and geographic information society research …, 2012
82012
Auto-Tuning of Parallel I/O Parameters for HDF5 Applications
B Behzad, J Huchette, H Luu, R Aydt, Q Koziol, M Prabhat, S Byna, ...
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC …, 2012
72012
Taming parallel I
B Behzad, LHV Thanh, J Huchette, S Byna, RA Prabhat, Q Koziol, M Snir
O complexity with auto-tuning. SC 13, 10.1145, 2013
52013
High-performance small-scale raster map projection empowered by cyberinfrastructure
MP Finn, Y Liu, DM Mattli, B Behzad, KH Yamamoto, Q Guan, E Shook, ...
CyberGIS for geospatial discovery and innovation, 171-188, 2019
32019
Prabhat, and Marc Snir. Optimizing I/O performance of HPC applications with autotuning
B Behzad, S Byna
ACM Transactions on Parallel Computing (TOPC) 5 (4), 15, 0
3
Map Projection Empowered by Cyberinfrastructure
MP Finn, Y Liu, DM Mattli, B Behzad, A Padmanabhan, M Stramel, ...
CyberGIS for Geospatial Discovery and Innovation 118, 171, 2018
2018
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Artikler 1–20