Chadalapaka NSF award 2346744
Citation
U.S. National Science Foundation (NSF). “CC* Regional Computing: CENVAL-ARC: Central Valley Accessible Research and Computational Hub.” Award 2346744, record from the NSF awards API, award date Dec. 12, 2023. https://www.nsf.gov/awardsearch/showAward?AWD_ID=2346744. Copy: raw/shared/2026-10-26 Chadalapaka NSF award 2346744 record.md (original: .json beside it), fetched 2026-10-26. Read 2026-10-26.
Bottom line
- Sarvani Chadalapaka is the principal investigator (PI) of NSF award 2346744, CENVAL-ARC, at UC Merced. The award is $1,000,000, from June 1, 2024 to May 31, 2027.
- CENVAL-ARC is a regional computing hub for the Central Valley. UC Merced leads it with three California State University (CSU) campuses.
- It is a working California model of a UC campus that shares compute with CSU campuses.
Background
The NSF award page needs JavaScript, so its copy, raw/shared/2026-10-26 Chadalapaka NSF award 2346744.md, has no award data. The program is Campus Cyberinfrastructure (CC*), in the Office of Advanced Cyberinfrastructure.
Key claims
- PI: Sarvani Chadalapaka. Co-PIs: Anna Klimaszewski-Patterson (CSU Sacramento), Suzanne S Sindi and Emily Jane McTavish (UC Merced). (record, coPDPI)
- Amount: “FY 2024 = $1,000,000.00”. Start June 1, 2024. End May 31, 2027. (record)
- “The project is led by the University of California, Merced (UCM), in collaboration with California State Universities (CSUs) - CSU Sacramento, CSU Stanislaus, and CSU Fresno.” (abstract)
- The initiative serves “the historically underserved Central Valley region of California” and “Hispanic-Serving Central Valley institutions”. (abstract)
- “The hardware seamlessly integrates into UCM’s existing Pinnacles High Performance Computing (HPC) cluster.” It has GPU and CPU nodes, a Science DMZ, RedHat Linux and the Slurm scheduler. (abstract)
- “The project supports yearly research symposia that engage dozens of regional participants”. (abstract)
Evidence and method
This is the federal award record. The amounts and dates are NSF data. The abstract is the project’s own description.
Limits
- The record gives no node counts, no GPU model and no user numbers.
- It does not say how CSU users get access or what they pay.