Smith 2022/2024 — Purdue HPC production-function model; 49x RCAC ROI
Source citation
Smith, P.M. *The Value Proposition of Campus High-Performance Computing Facilities to Institutional Productivity: A Production Function Model.* Ph.D. dissertation, Purdue University, 2022, docs.lib.purdue.edu/dissertations/AAI30506034/; Smith, P.M. "The Value Proposition of Campus High Performance Computing Facilities to Institutional Productivity: A Production Function Model." *SN Computer Science* 5:883, 2024, doi:10.1007/s42979-024-02888-0.
Citation: Smith, P.M. The Value Proposition of Campus High-Performance Computing Facilities to Institutional Productivity: A Production Function Model. Ph.D. dissertation, Purdue University, 2022, docs.lib.purdue.edu/dissertations/AAI30506034/; Smith, P.M. "The Value Proposition of Campus High Performance Computing Facilities to Institutional Productivity: A Production Function Model." SN Computer Science 5:883, 2024, doi:10.1007/s42979-024-02888-0.
Type: Peer-reviewed institutional ROI study; production-function modeling.
Method: Production-function model fit to per-institution data, applied to the Rosen Center for Advanced Computing's HPC investment against Purdue's FY2020 R&D expenditures.
Key findings used in this graph:
- Purdue FY2020: 55% of $443.5 million in total research expenditures ($242 million) attributable to faculty using campus HPC resources operated by RCAC (E-0108).
- 49-fold return on RCAC investment (E-0108).
- Methodologically distinct from program-level ROI estimates: per-institution production-function fit makes the result directly applicable to institution-level capital-allocation decisions.
Use: E-0108.
Original whitepaper reference: [108a] (companion to [108] Apon et al., S-0108).