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URL: https://carney.brown.edu/carney-condo
Proper Citation: Carney Condo (RRID:SCR_029056)
Description: Shared GPU/CPU high-performance computing cluster for brain science research at Brown University. The system comprises 4 NVIDIA DGX B200 nodes, 6 NVIDIA RTX 6000 Pro Blackwell Max-Q nodes and 4 AMD CPU nodes (80 GPUs, 768 CPU cores). It is hosted and operated by the Center for Computation and Visualization (CCV) as a dedicated partition within Brown's Oscar HPC environment and supports deep learning, large scale neural data analysis, and computational modeling.
Resource Type: computational service resource
Keywords: high performance computing cluster, brain science research, deep learning, large scale neural data analysis, computational modeling,
Funding: NIH Office of the Director S10OD036341
Availability: Restricted
Resource Name: Carney Condo
Resource ID: SCR_029056
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
