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/a3d8f881-851b-47bc-8058-05cec1566fd7.png?format=webp&thumbnail=128)
![](https://programming.dev/pictrs/image/a3d8f881-851b-47bc-8058-05cec1566fd7.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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