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Document type:
Masterarbeit 
Author(s):
Ertl, C. 
Title:
Scalable Parallel I/O using HDF5 for HPC Fluid Flow Simulations 
Abstract:
Simulation applications for engineering problems, running on modern supercomputing clusters, produce massive amounts of data. To be able to store this data, they have to use the same notion of parallelism for their I/O as for the computation itself. Addi- tionally, the emerging datasets require special tools, to be able to analyse and visualise the stored information due to their size of up to multiple terrabytes. This work presents the design and implementation of an I/O kernel as part of an ex...    »
 
Supervisor:
Rank, E. and Mundani, R.-P. 
Advisor:
Year:
2015 
Year / month:
2015-12 
Month:
Dec 
University:
Technische Universität München