The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Student: Zhenlei Song (Texas A&M University)
Supervisor: Zhe Zhang (Texas A&M University)
Abstract: NetCDF's original design included a portable file format and an intuitive application programming interface (API). However, the current NetCDF framework and its derived libraries lack efficient support for querying and visualizing data subsets with low memory use and time cost. Therefore, a full-stack solution to handle and display multidimensional data frames in NetCDF must be developed to meet the research needs. In this project, a next-generation full-stack tool, “NetCDFaster,” was developed to accelerate the reading and viewing of NetCDF data. This tool was derived from serial and parallel interfaces built on MPI-IO. The test results showed that processing time and memory usage were significantly improved than conventional methods.
ACM-SRC Semi-Finalist: no
Poster: PDF
Poster Summary: PDF
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