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PIDX: Efficient Parallel I/O for Multi-resolution Multi-dimensional Scientific Datasets

Sidharth Kumar, Venkatram Vishwanath, Philip Carns, Brian Summa, Giorgio Scorzelli, Valerio Pascucci, Robert Ross, Jacqueline Chen, Hemanth Kolla, Ray Grout
2011 2011 IEEE International Conference on Cluster Computing  
PIDX achieves up to 18 GiB/s I/O throughput at 8,192 processes for S3D to write data out in the IDX format.  ...  We have therefore developed PIDX -a parallel API for writing data in an IDX format.  ...  Previous work in multi-resolution data formats for parallel processing environments include work from Chiueh and Katz in developing a multi-resolution video format for parallel disk arrays [6] .  ... 
doi:10.1109/cluster.2011.19 dblp:conf/cluster/KumarVCSSPRCKG11 fatcat:acjkja3mxzeqljwjd4uir5tskq

Towards parallel access of multi-dimensional, multi-resolution scientific data

Sidharth Kumar, Valerio Pascucci, Venkatram Vishwanath, Philip Carns, Mark Hereld, Robert Latham, Tom Peterka, Michael E. Papka, Robert Ross
2010 2010 5th Petascale Data Storage Workshop (PDSW '10)  
Large scale scientific simulations routinely produce data of increasing resolution. Analyzing this data is key to scientific discovery.  ...  HPC applications must therefore either write all data from a single process or convert existing data as a post-processing step, in either case failing to utilize available parallel I/O resources.  ...  IDX supports multi-dimensional data of arbitrary dimensions and sizes. HZ order computation requires the spatial coordinates of data samples.  ... 
doi:10.1109/pdsw.2010.5668090 fatcat:voq3zktnnjcydkwfajjx4ak5pe

Advancing Fusion with Machine Learning Research Needs Workshop Report

David Humphreys, A. Kupresanin, M. D. Boyer, J. Canik, C. S. Chang, E. C. Cyr, R. Granetz, J. Hittinger, E. Kolemen, E. Lawrence, V. Pascucci, A. Patra (+1 others)
2020 Journal of fusion energy  
The advent of powerful and dedicated computers specialized for large-scale parallel computation, as well as advances in statistical inference algorithms, have greatly enhanced the capabilities of these  ...  The workshop drew on broad representation from both FES and ASCR scientific communities, and identified seven Priority Research Opportunities (PRO's) with high potential for advancing fusion energy.  ...  Clearly, highly challenging data storage and I/O speed issues lie ahead.  ... 
doi:10.1007/s10894-020-00258-1 fatcat:pzk3vza7v5eytbsrg2htkr5ujq