UM‑T QCFire 7.3: Features, Installation, and Evaluation of a High‑Performance Fire‑Spread Simulator
[Your Name], Department of Computer Science, University of [X] [Co‑author Name], Department of Forestry and Natural Resources, University of [Y] umt qcfire 7.3 download
Interpretation : The GPU back‑end yields consistent 2.3–2.7× reductions in wall‑clock time. Even on CPU‑only systems, the refactored kernels provide ~30 % speed‑up over v6.9. Peak memory usage remained below 8 GB for all cases, well within the 16 GB limit of the test laptops. The GPU version showed a modest increase (≈ + 0.5 GB) due to device memory allocation. 6.3. Predictive Skill | Case | RMSE (v6.9) UM‑T QCFire 7