| Scalable metagenomic taxonomy classification using a reference genome database SK Ames, DA Hysom, SN Gardner, GS Lloyd, MB Gokhale, JE Allen Bioinformatics 29 (18), 2253-2260, 2013 | 242 | 2013 |
| Richer file system metadata using links and attributes A Ames, N Bobb, SA Brandt, A Hiatt, C Maltzahn, EL Miller, A Neeman, ... 22nd IEEE/13th NASA Goddard Conference on Mass Storage Systems and …, 2005 | 92 | 2005 |
| DI-MMAP—a scalable memory-map runtime for out-of-core data-intensive applications B Van Essen, H Hsieh, S Ames, R Pearce, M Gokhale Cluster Computing 18, 15-28, 2015 | 72 | 2015 |
| On the role of NVRAM in data-intensive architectures: an evaluation B Van Essen, R Pearce, S Ames, M Gokhale 2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012 | 64 | 2012 |
| Coordinating an operational data distribution network for CMIP6 data R Petrie, S Denvil, S Ames, G Levavasseur, S Fiore, C Allen, F Antonio, ... Geoscientific Model Development Discussions 2020, 1-22, 2020 | 61 | 2020 |
| LiFS: An attribute-rich file system for storage class memories S Ames, N Bobb, KM Greenan, OS Hofmann, MW Storer, C Maltzahn, ... Proceedings of the 23rd IEEE/14th NASA Goddard Conference on Mass Storage …, 2006 | 54 | 2006 |
| Using populations of human and microbial genomes for organism detection in metagenomes SK Ames, SN Gardner, JM Marti, TR Slezak, MB Gokhale, JE Allen Genome research 25 (7), 1056-1067, 2015 | 41 | 2015 |
| DI-MMAP: A high performance memory-map runtime for data-intensive applications B Van Essen, H Hsieh, S Ames, M Gokhale 2012 SC Companion: High Performance Computing, Networking Storage and …, 2012 | 36 | 2012 |
| PCMDI AMIP SST and sea-ice boundary conditions version 1.1. 4 PJ Durack, KE Taylor (No Title), 2018 | 34 | 2018 |
| Searching and navigating petabyte-scale file systems based on facets J Koren, A Leung, Y Zhang, C Maltzahn, S Ames, E Miller Proceedings of the 2nd international workshop on Petascale data storage …, 2007 | 31 | 2007 |
| Toward standardized data sets for climate model experimentation P Durack, K Taylor, V Eyring, S Ames, T Hoang, D Nadeau, C Doutriaux, ... Eos 99, 751, 2018 | 30 | 2018 |
| QMDS: a file system metadata management service supporting a graph data model-based query language S Ames, M Gokhale, C Maltzahn International Journal of Parallel, Emergent and Distributed Systems 28 (2 …, 2013 | 23 | 2013 |
| Observations for model Intercomparison project (Obs4MIPs): Status for CMIP6 D Waliser, PJ Gleckler, R Ferraro, KE Taylor, S Ames, J Biard, ... Geoscientific Model Development 13 (7), 2945-2958, 2020 | 20 | 2020 |
| Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6, Geosci. Model Dev., 13, 2945–2958 D Waliser, PJ Gleckler, R Ferraro, KE Taylor, S Ames, J Biard, ... | 16 | 2020 |
| Massive scale deep learning for detecting extreme climate events SK Kim, S Ames, J Lee, C Zhang, AC Wilson, D Williams Climate Informatics 5, 2017 | 15 | 2017 |
| Coordinating an operational data distribution network for CMIP6 data, Geosci. Model Dev., 14, 629–644 R Petrie, S Denvil, S Ames, G Levavasseur, S Fiore, C Allen, F Antonio, ... | 13 | 2021 |
| Resolution reconstruction of climate data with pixel recursive model S Kim, S Ames, J Lee, C Zhang, AC Wilson, D Williams 2017 IEEE international conference on data mining workshops (ICDMW), 313-321, 2017 | 12 | 2017 |
| Coordinating an operational data distribution network for CMIP6 data, Geosci. Model Dev., 14, 629–644, 10.5194 R Petrie, S Denvil, S Ames, G Levavasseur, S Fiore, C Allen, F Antonio, ... gmd-14-629-2021, 2021 | 11 | 2021 |
| Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6, Geosci. Model Dev., 13, 2945–2958, 10.5194 D Waliser, PJ Gleckler, R Ferraro, KE Taylor, S Ames, J Biard, ... gmd-13-2945-2020, 2020 | 11 | 2020 |
| input4mips: Making [cmip] model forcing more transparent PJ Durack, KE Taylor, V Eyring, SK Ames, C Doutriaux, T Hoang, ... Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2017 | 11 | 2017 |
Jonathan E AllenLawrence Livermore National LaboratoryΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα llnl.gov