GPU-based ODE solvers which are 20x-100x faster than those in #jax and #pytorch
GPU-based ODE solvers which are 20x-100x faster than those in #jax and #pytorch
![](https://programming.dev/pictrs/image/42aac83c-6996-4eb5-9eef-9c034833a806.png?thumbnail=256&format=webp)
![](https://programming.dev/pictrs/image/42aac83c-6996-4eb5-9eef-9c034833a806.png?format=webp)
Dr. Chris Rackauckas (@[email protected]) writes:
#julialang GPU-based ODE solvers which are 20x-100x faster than those in #jax and #pytorch? Check out the paper on how #sciml DiffEqGPU.jl works. Instead of relying on high level array intrinsics that #machinelearning libraries use, it uses a direct kernel generation approach to greatly reduce the overhead.
Read Automated translation and accelerated solving of differential equations on multiple GPU platforms
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