©2020 Biological and Chemical Oceanography Data Management Office.Funded by the U.S. National Science Foundation
©2020 Biological and Chemical Oceanography Data Management Office."High-Performance Computing" (HPC) refers to a class of evolving technologies that provide leading-edge computational capabilities, including scalable high-performance computers, high-end graphic systems, and high-speed networks. HPC may be used for molecular modeling, genome analysis, and image processing, among others.
| Dataset Name | PI-Supplied Description | PI-Supplied Name |
|---|---|---|
| Model simulations of elemental and isotopic heavy noble gas ratios using the Transport Matrix Method (TMM) | The TMM infrastructure developed by S. Khatiwala and D. Nicholson was implemented on the NCAR Cheyenne supercomputer. Cheyenne is a 5.34-petaflops, high-performance computer built for the National Center for Atmospheric Research (NCAR). The system was released for production work on January 12, 2017. The Cheyenne supercomputer features 145,152 Intel Xeon processor cores in 4,032 dual-socket nodes (36 cores/node) and 313 TB of total memory. | NCAR Cheyenne supercomputer |
| Output model data from paradox of adaptive trait clines with non-clinal patterns in the underlying genes (Model Validation Program project) | Northeastern's High Performance Computing Cluster |