For Energy & Industrial Simulation TeamsGPU-Accelerate Your Simulation Pipeline
Same C# Code, 50-100x Faster
Nuclear safety, seismic processing, actuarial risk, CFD: GPU-compiled from your existing C# codebase. No CUDA engineers. No rewrite. Reviewable CUDA source for safety audits.
Faster seismic convolution
Faster Monte Carlo actuarial runs
Lines of CUDA in your codebase
Why simulation teams stay CPU-bound
Three blockers kill most GPU projects before the hardware requisition is even approved. Hybridizer removes all three inside the existing .NET workflow.
Simulations take days
Monte Carlo actuarial runs at 10M paths drop from 12 seconds on CPU to 110 milliseconds on GPU. Seismic convolution at 4K with 128 kernels goes from 2.8 seconds to 22 ms.
CUDA rewrites are off the table
Hybridizer compiles the existing .NET assembly to CUDA at build time. Add [EntryPoint], replace the loop index, keep the physics, equations and numerical model untouched.
Safety audits require source
For nuclear safety, seismic QC and Solvency II-style review flows, Hybridizer outputs clean CUDA C++ that safety engineers can read, diff and sign off.
Benchmarks
Real numbers from industrial workloads
Measured on i9 (16 cores) vs RTX 4090. These are simulation-relevant workloads, not synthetic demos.
| Workload | CPU Time | GPU Time | Speedup |
|---|---|---|---|
| Seismic convolution - 4K, 128 kernels Eliis Paleoscan © use case | 2.8 s | 22 ms | 127x |
| Monte Carlo actuarial - 10M paths AON / BNP | 12.4 s | 110 ms | 113x |
| N-body particle simulation - 100K particles | 8.1 s | 190 ms | 43x |
| Stochastic nuclear dose Monte Carlo - 5M histories | 18.3 s | 210 ms | 87x |
| CFD finite-difference stencil - 3D grid, 512^3 | 14.6 s | 240 ms | 61x |
Source: internal benchmarks plus the NVIDIA technical blog. C# compiled through Hybridizer reaches roughly 83% of equivalent handwritten CUDA C++ performance.
What this means for your simulation cycle: a nuclear safety validation run that takes 6 hours today drops to under 5 minutes at 87x. Seismic QC and actuarial model runs move from overnight batches to same-day iteration.
Trusted in production across energy, insurance and industrial simulation
Trusted By
"C# compiled through Hybridizer achieves roughly 83% of equivalent handwritten CUDA C++ performance , without manual GPU programming."
NVIDIA Developer Blog, independent benchmark
Where engineering teams see the biggest wins
If the simulation is parallel and written in C#, it can move to GPU. These are the first workloads teams usually accelerate.
Nuclear Safety Simulation
Accelerate Monte Carlo particle transport, neutron flux calculations and thermal-hydraulic workloads while preserving a reviewable code path for safety sign-off.
87x faster Monte Carlo dose histories
Seismic Processing
Convolutional imaging, reverse time migration and related imaging passes are natural GPU workloads. Teams keep the same C# codebase while gaining production throughput.
127x faster seismic convolution
Actuarial and Insurance Risk
Solvency II internal models, catastrophe aggregation and stochastic reserving all benefit from GPU-accelerated Monte Carlo without architecture changes.
113x faster Monte Carlo actuarial paths
CFD and Multi-Physics
Finite-difference and finite-element stencil solvers are highly parallel and adapt well to the same build-time GPU compilation workflow.
61x faster 3D finite-difference stencils
How It Works
Two annotations. Zero CUDA engineers. GPU-accelerated.
Hybridizer compiles the .NET assembly to CUDA at build time instead of forcing a source rewrite. That is why it handles full C#, including generics, virtual dispatch and domain libraries.
- 1
Add
[EntryPoint]to the simulation kernelMark the Monte Carlo path, stencil loop or convolution pass you want accelerated. Hybridizer handles the relevant call graph under it automatically.
- 2
Replace the loop index with a thread index
Swap the CPU loop control for the GPU thread index while leaving the physics equations, numerical methods and model logic unchanged.
- 3
Build as usual
Hybridizer generates CUDA C++ at build time, NVCC compiles it, and the existing .NET call sites continue to invoke the kernel transparently.
- 4
Review the generated CUDA for safety sign-off
The Software Suite emits readable CUDA C++ that can be diffed, reviewed and approved by safety or audit teams where traceability matters.
Book a 15-min technical walkthrough
Show the current simulation pipeline. We will map GPU compilation to the exact C# workload you run today, without a generic demo or a sales deck.
15 minutes. Technical conversation. No pitch deck.
