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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(41 - 60 of 91)


Challenges of securing a petascale cluster
Performance comparison between MPI and AMPI
A statistical analysis of model simulated global extreme temperature and precipitation indices
Source-source translators with respect to climate models
Support for emerging climate and forecast grid conventions in the Earth System Modeling framework
Increasing performance of the NCAR command language via parallel processing
Energy efficiency display
Evaluating the use of parallel debuggers to resolve software bugs in parallel codes
Machine learning for application optimization with c tuning
A statistical comparison of radiosonde observations to NCEP RCM3 Climate Model atmospheric wind speed
Third-order non-oscillatory transport scheme
Application execution using hybrid resources
Porting VAPOR's discrete wavelet transform to a many-core architecture
Refactoring a climate simulation miniapp to use a PGAS programming model
Parallelizing climate model analysis using Swift
Exploring exponential integrators for MUSE
Forecast verification of wind speeds using a modified neighborhood approach
Discontinuous Galerkin methods on an unstructured geodesic grid
Adding GridSpec capabilities to NCL
Implementation of an automated performance analysis mechanism for high performance scientific computation