Sparse convex optimization on GPUs
M Maggioni - 2016 - indigo.uic.edu
Convex optimization is a fundamental mathematical framework used for general problem
solving. The computational time taken to optimize problems formulated as Linear …
solving. The computational time taken to optimize problems formulated as Linear …
[PDF][PDF] Practical Optimizations for Conjugate Gradient Method Acceleration using CUDA
유동한 - 2016 - s-space.snu.ac.kr
This dissertation presents a series of optimizations for preconditioned and
nonpreconditioned the Conjugate Gradient (henceforth, CG) method using CUDA. Each …
nonpreconditioned the Conjugate Gradient (henceforth, CG) method using CUDA. Each …