
doi: 10.5281/zenodo.10849935 , 10.5281/zenodo.10849868 , 10.5281/zenodo.10849886 , 10.5281/zenodo.10849932 , 10.5281/zenodo.10849914 , 10.5281/zenodo.10849880 , 10.5281/zenodo.10849901 , 10.5281/zenodo.10849892 , 10.5281/zenodo.10849869 , 10.5281/zenodo.10849870 , 10.5281/zenodo.10849931 , 10.5281/zenodo.10849908 , 10.5281/zenodo.10849893 , 10.5281/zenodo.10849905 , 10.5281/zenodo.10849909 , 10.5281/zenodo.10849919 , 10.5281/zenodo.10849915 , 10.5281/zenodo.10849900 , 10.5281/zenodo.10849918 , 10.5281/zenodo.10849885 , 10.5281/zenodo.10849904 , 10.5281/zenodo.10849936 , 10.5281/zenodo.10849879 , 10.5281/zenodo.10849867
doi: 10.5281/zenodo.10849935 , 10.5281/zenodo.10849868 , 10.5281/zenodo.10849886 , 10.5281/zenodo.10849932 , 10.5281/zenodo.10849914 , 10.5281/zenodo.10849880 , 10.5281/zenodo.10849901 , 10.5281/zenodo.10849892 , 10.5281/zenodo.10849869 , 10.5281/zenodo.10849870 , 10.5281/zenodo.10849931 , 10.5281/zenodo.10849908 , 10.5281/zenodo.10849893 , 10.5281/zenodo.10849905 , 10.5281/zenodo.10849909 , 10.5281/zenodo.10849919 , 10.5281/zenodo.10849915 , 10.5281/zenodo.10849900 , 10.5281/zenodo.10849918 , 10.5281/zenodo.10849885 , 10.5281/zenodo.10849904 , 10.5281/zenodo.10849936 , 10.5281/zenodo.10849879 , 10.5281/zenodo.10849867
This trace was collected as part of the HPC I/O Analysis Initiative, which aims to improve the understanding and optimization of I/O performance in high performance computing. This data set contains the Darshan profiling file and associated metadata for the ECMWF IOSEA Benchmark application, which belongs to the ECMWF Weather Forecasting category. It captures the execution of the application with 67 processes completed in 5 minutes 50 seconds. This data provides insight into I/O patterns and performance that can be used for optimization efforts in similar computing contexts. For more traces and detailed information, please visit our website at https://hpcioanalysis.zdv.uni-mainz.de .If you use this dataset as part of a publication, please citeNafiseh Moti, André Brinkmann, Marc-André Vef, Philippe Deniel, Jesús Carretero, Philip H. Carns, Jean-Thomas Acquaviva, Reza Salkhordeh: The I/O Trace Initiative: Building a Collaborative I/O Archive to Advance HPC. SC Workshops 2023: 1216-1222in addition to the DOI of this dataset.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
