22 citations · 23 across the 6 of their papers we have counts for
6 papers
The LBNL Superfacility Project Report
Deborah Bard, Cory Snavely, Lisa Gerhardt +24
The Superfacility model is designed to leverage HPC for experimental science. It is more than simply a model of connected experiment, network, and HPC facilities; it encompasses th…
A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis
Sunwoo Lee, Kai-yuan Hou, Kewei Wang +8
In High Energy Physics (HEP), experimentalists generate large volumes of data that, when analyzed, helps us better understand the fundamental particles and their interactions. This…
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights
Bo Fang, Daoce Wang, Sian Jin +6
In recent years, the increasing complexity in scientific simulations and emerging demands for training heavy artificial intelligence models require massive and fast data accesses,…
Mapping Datasets to Object Storage System
Xiaowei, Chu, Jeff LeFevre +5
Access libraries such as ROOT and HDF5 allow users to interact with datasets using high level abstractions, like coordinate systems and associated slicing operations. Unfortunately…
DAOS for Extreme-scale Systems in Scientific Applications
M. Scot Breitenfeld, Neil Fortner, Jordan Henderson +4
Exascale I/O initiatives will require new and fully integrated I/O models which are capable of providing straightforward functionality, fault tolerance and efficiency. One solution…
A Remote Procedure Call Approach for Extreme-scale Services
Jerome Soumagne, Philip H. Carns, Dries Kimpe +2
When working at exascale, the various constraints imposed by the extreme scale of the system bring new challenges for application users and software/middleware developers. In that…