Minor optimization by exploiting demag kernel symmetry - #411
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JonathanMaes wants to merge 5 commits into
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Minor optimization by exploiting demag kernel symmetry#411JonathanMaes wants to merge 5 commits into
JonathanMaes wants to merge 5 commits into
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Squashed snapshot of the CUDA-Graph-accelerated mumax3 fork (based on mumax/3 commit 3fe3d41, "Update gpus.txt"). Adds a transparent split-graph CUDA Graph capture/replay path for Run()/Steps() across Heun, RK23, RK45DP, RK56 and BackwardEuler, with safety guards for Temp, time-dependent B_ext/material parameters, NoDemagSpins and custom field terms, plus the conv_kernmul launch-range and lazy MaxTorque/MemCpyDtoH micro-optimizations. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replaces the upstream mumax3 README with a fork-focused README covering: - Performance table (4K–1M cell speedup measurements on RTX 5060 Ti) - How the CUDA Graph capture/replay path works - Safety guard list - Pre-built Windows binary download link (GitHub Releases) - Build-from-source instructions (Windows CUDA 13.2 + Linux) - Summary table of all source changes vs upstream 3fe3d41 - Upstream citation and license notice Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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This PR captures part of the changes introduced in mumax³-CO, as presented in C.-Y. You, J. Magn. 31, 204-213 (2026).
In the demag kernel multiplication (during convolution), the symmetry of the demag kernel is not fully utilized to optimize performance. The CUDA launch grid can be halved (Ny/2+1 rows), with each thread then using this symmetry to compute both a row and its mirror row. This results in a 0.75% speedup on a 2048×2048×1 grid, and a negligible difference on small/medium grids.