CosmoSIS: Modular cosmological parameter estimation J Zuntz, M Paterno, E Jennings, D Rudd, A Manzotti, S Dodelson, S Bridle, ... Astronomy and Computing 12, 45-59, 2015 | 383 | 2015 |
HACC: Simulating sky surveys on state-of-the-art supercomputing architectures S Habib, A Pope, H Finkel, N Frontiere, K Heitmann, D Daniel, P Fasel, ... New Astronomy 42, 49-65, 2016 | 276 | 2016 |
Improving metadata management for small files in HDFS G Mackey, S Sehrish, J Wang 2009 IEEE international conference on cluster computing and workshops, 1-4, 2009 | 193 | 2009 |
Introducing map-reduce to high end computing G Mackey, S Sehrish, J Bent, J Lopez, S Habib, J Wang Petascale Data Storage Workshop, 2008. PDSW'08. 3rd, 1-6, 2008 | 103 | 2008 |
MRAP: A novel mapreduce-based framework to support hpc analytics applications with access patterns S Sehrish, G Mackey, J Wang, J Bent Proceedings of the 19th ACM International Symposium on High Performance …, 2010 | 86 | 2010 |
Supporting HPC analytics applications with access patterns using data restructuring and data-centric scheduling techniques in MapReduce S Sehrish, G Mackey, P Shang, J Wang, J Bent IEEE Transactions on Parallel and Distributed Systems 24 (1), 158-169, 2012 | 33 | 2012 |
Methodology for the rapid development of scalable HPC data services M Dorier, P Carns, K Harms, R Latham, R Ross, S Snyder, J Wozniak, ... 2018 IEEE/ACM 3rd International Workshop on Parallel Data Storage & Data …, 2018 | 17 | 2018 |
Spark and HPC for high energy physics data analyses S Sehrish, J Kowalkowski, M Paterno 2017 IEEE International Parallel and Distributed Processing Symposium …, 2017 | 17 | 2017 |
Exploring the performance of spark for a scientific use case S Sehrish, J Kowalkowski, M Paterno 2016 IEEE International Parallel and Distributed Processing Symposium …, 2016 | 17 | 2016 |
Improving the average response time in collective I/O C Jin, S Sehrish, W Liao, A Choudhary, K Schuchardt Recent Advances in the Message Passing Interface: 18th European MPI Users …, 2011 | 17 | 2011 |
Reducing I/O variability using dynamic I/O path characterization in petascale storage systems SW Son, S Sehrish, W Liao, R Oldfield, A Choudhary The Journal of Supercomputing 73, 2069-2097, 2017 | 15 | 2017 |
Improving collective I/O performance by pipelining request aggregation and file access S Sehrish, SW Son, W Liao, A Choudhary, K Schuchardt Proceedings of the 20th European MPI Users' Group Meeting, 37-42, 2013 | 15 | 2013 |
Big Data in HEP: A comprehensive use case study O Gutsche, M Cremonesi, P Elmer, B Jayatilaka, J Kowalkowski, ... Journal of Physics: Conference Series 898 (7), 072012, 2017 | 14 | 2017 |
CosmoSIS: modular cosmological parameter estimation, Astron J Zuntz, M Paterno, E Jennings, D Rudd, A Manzotti, S Dodelson, S Bridle, ... arXiv preprint arXiv:1409.3409 12, 45, 2015 | 13 | 2015 |
Python and HPC for high energy physics data analyses S Sehrish, J Kowalkowski, M Paterno, C Green Proceedings of the 7th Workshop on Python for High-Performance and …, 2017 | 11 | 2017 |
CMS analysis and data reduction with apache spark O Gutsche, L Canali, I Cremer, M Cremonesi, P Elmer, I Fisk, M Girone, ... Journal of Physics: Conference Series 1085 (4), 042030, 2018 | 10 | 2018 |
Conflict detection algorithm to minimize locking for mpi-io atomicity S Sehrish, J Wang, R Thakur Recent Advances in Parallel Virtual Machine and Message Passing Interface …, 2009 | 10 | 2009 |
PDACS-A Portal for Data Analysis Services for Cosmological Simulations R Chard, S Sehrish, A Rodriguez, R Madduri, TD Uram, M Paterno, ... 2014 9th Gateway Computing Environments Workshop, 30-33, 2014 | 9 | 2014 |
A case study on parallel HDF5 dataset concatenation for high energy physics data analysis S Lee, K Hou, K Wang, S Sehrish, M Paterno, J Kowalkowski, Q Koziol, ... Parallel Computing 110, 102877, 2022 | 8 | 2022 |
Introducing mapreduce to high end computing in Petascale Data G Mackey, S Sehrish, J Lopez, J Bent, S Habib, J Wang Storage Workshop Held in conjunction with SC08, 0 | 7 | |