Issue No. 05 - Sep./Oct. (2018 vol. 20)
Micah D. Schuster , Wentworth Institute of Technology
In recent years, high-performance computing and powerful supercomputers have become staples in many areas of academia and industry. The author introduces the concept of shared memory programming in the context of solving the heat equation, which will allow the exploration of several finite difference and parallelization schemes.
diffusion, finite difference methods, parabolic equations, parallel programming, partial differential equations, physics computing, shared memory systems
M. D. Schuster, "The Heat Equation: High-Performance Scientific Computing Case Study," in Computing in Science & Engineering, vol. 20, no. 5, pp. 114-127, 2018.