Application of C++ in Computational Cancer Modeling
Talkat CppCon 2024 · on Tuesday, 2024-09-17· at 15:50· Cottonwood 2/3, 6700 North Gaylord Rockies Boulevard·
summary
Simulates thousands of pseudo‑tumors for a colorectal model, implemented with Eigen matrices for state and transitions and using C++11 RNGs to draw exponential inter‑arrival times and weighted events, selecting positions via std::discrete_distribution. Parallelism uses task‑based concurrency with std::async + futures and C++17 parallel STL (transform_reduce) to compute waiting‑time and population statistics. Code reshapes Eigen arrays for STL iterators and reports meaningful speedups versus single‑threaded runs.
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chapters (10)
- 0:00Introduction
- 1:25Computational modeling overview
- 3:10Cancer evolution model
- 5:19Random time sampling
- 8:09Tumor generator class
- 12:44Single step simulation
- 16:36Parallel tumor generation
- 18:42Parallel statistical analysis
- 20:25Conclusions
- 21:35Q&A
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