Other resources that are available to researchers including high-performance and high-throughput computing options, machine learning platform, and science gateways information. Are there others you can contribute to the list?
Resource | Link | Description / Notes |
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XSEDE: Extreme Science and Engineering Discover Environment | https://xsede.org | "An NSF-funded virtual organization that integrates and coordinates the sharing of advanced digital services - including supercomputers and high-end visualization and data analysis resources - with researchers nationally to support science." Free Trial Accounts and Startup Allocations available throughout the year. Research Allocations reviewed quarterly. Available to: Faculty, researchers, including postdoctoral scholars. |
OSG: Open Science Grid | https://opensciencegrid.org | NSF and DOE-funded grid "facilitates access to distributed high throughput computing for research in the US. The resources accessible through the OSG are contributed by the community, organized by the OSG, and governed by the OSG consortium." Available to: All researchers |
Comet | https://www.sdsc.edu/services/hpc/hpc_systems.html#comet | "Comet is SDSC’s newest HPC resource, a petascale supercomputer designed to transform advanced scientific computing by expanding access and capacity among traditional as well as non-traditional research domains." Trial account (1,000 core-hours), requests fulfilled within 1 working day. Research Allocations also available. |
TSCC: Triton Shared Compute Cluster | https://www.sdsc.edu/services/hpc/hpc_systems.html#tscc | SDSC's HPC resource for investigators. Choose from Condo (shared ownership) or Hotel (pay as you go) model computing options. Free Trial Accounts (250 core-hours valid for 90 days) |
HPC@UC | https://www.sdsc.edu/collaborate/hpc_at_uc.html | An easier route toward a Comet Allocation. Applications are reviewed by a UC committee vs having to go through NSF committee approval. |
DSMLP: Data Science and Machine Learning Platform | https://datahub.ucsd.edu/hub/login | Instructional cluster (CPU / GPU) managed by Educational Technology Services, also available to researchers working on independent degree associated work (thesis, dissertation) |
SGCI: Science Gateways Community Institute | https://sciencegateways.org | Science gateways allow science & engineering communities to access shared data, software, computing services, instruments, educational materials, and other resources specific to their disciplines. Browse the catalog to find discipline-specific gateways. |