SIParCS Collection

The goal of the SIParCS program is to make a long-term, positive impact on the quality and diversity of the workforce needed to use and operate 21st century supercomputers. Graduate students and undergraduate students gain significant hands-on experience in high-performance computing and related fields that use HPC for scientific discovery and modeling. This program embeds students as summer interns in the Computational and Information Systems Laboratory, an organization within NCAR charged with provisioning supercomputing and data systems to the geosciences research community.

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Evaluating the impact of infiniband routing algorithms on network performance [presentation]
Determining change points in balloon-based measurements of the atmosphere [presentation]
Facilitating active network monitoring of NWSC's Yellowstone
An evaluation of the performance and scalability of a Yellowstone test-system in five benchmarks
Machine learning-based compiler optimization
Optimizing the efficiency of the NCAR-Wyoming Supercomputing Center Facility
A conservative semi-Lagrangian discontinuous Galerkin method for transport equation on the cubed-sphere [video]
Python: The next supercomputing language
Facilitating NCAR data discovery by connecting related resources
Python: The next supercomputing language
Employing task parallelism to facilitate dynamic comparison of model output
Animation control for 3D visualiztion of scientifc data [video]
Quality control and automatic outlier detection of atmospheric radiosonde measurements
Utilization of computational fluid dynamics to analyze high performance computing environments [presentation]
Implementing a new suite of remapping functions within NCL
A ramdisk provisioning service for high performance data analysis
Data-intensive cluster development
Requirements analysis for 3D ocean data visualization using VAPOR
Increasing efficiency and portability of C tuning, a machine learning self-tuning
Non-oscillatory numerical schemes for conservation laws on the cubed sphere