Trace billions of rays in minutes with FREDmpc - the next generation optical engineering software

FREDmpc is the latest version of FRED Optical Engineering Software suite. FREDmpc leverages NVIDIA GPU technology to perform raytracing and analyses, allowing over 100 times faster calculations than conventional CPU based raytracing!

  • Raytrace Paths
  • Coherent Field Propagation
  • Polarization
  • Numeric Precision
  • Scripting


Why FREDmpc?

Exceptional Speed

FREDmpc leverages the power of GPU acceleration, allowing you to trace an incredibly large number of rays at lightning-fast speeds. Calculation times are often over 100 times faster than traditional multi-threaded CPU ray tracing. This means you can obtain results in a fraction of the time, even when dealing with complex optical systems.

High Precision

Despite its speed, FREDmpc doesn't compromise on accuracy. It produces radiometrically precise results, ensuring the reliability and validity of your analyses. You can trust the outcomes for critical optical projects


Enhanced Productivity

With the ability to quickly obtain accurate results, FREDmpc enhances productivity. You can iterate through designs, explore various scenarios, and make informed decisions more efficiently.


Handling Large-Scale Simulations

FREDmpc is designed to handle simulations involving billions of rays through complex opto-mechanical systems with thousands of surfaces. This capability is invaluable for projects that demand extensive ray tracing.




Time Efficiency 

By significantly reducing calculation times, FREDmpc allows you to complete analyses in a much shorter timeframe. You no longer need to run calculations overnight or over several days, saving you valuable time and resources.


Cost Savings

By significantly reducing calculation times, FREDmpc allows you to complete analyses in a much shorter timeframe. You no longer need to run calculations overnight or over several days, saving you valuable time and resources.


Using GPUs

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Future Proof

FREDmpc will see an immediate benefit from future advancements in GPU hardware technology, which is undergoing rapid development.

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Scalability

GPU hardware is highly scalable and low cost.

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New Possibilities

Calculations previously thought to be unachievable on CPUs are now possible through the use of GPUs.

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Easy to Get Started

GPU hardware boards are in every PC. The only requirement for FREDmpc is an NVIDIA GPU board.

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Performance of GPU Boards
Relative to GeForce GTX 1050Ti

FREDmpc version 18.11

The length of the bar shows the range of calculation speeds for different simulations.
(X.X) indicates the compute capability - a rating by NVIDIA that defines the capability of the GPU Board.

Reference: GeForce GTX 1050Ti (6.1)
Recommended: GeForce RTX 2080Ti (7.5)

0.0 6.5 13.0

TITAN V (7.0)
Quadro GV100 (7.0)
GeForce RTX 2080Ti (7.5)
TITAN Xp (6.1)
GeForce GTX 1080Ti (6.1)
Tesla P100-PCIE-12GB (6.0)
Quadro P6000 Paperspace (6.1)
GeForce GTX 1080 (6.1)
Quadro P5000 Paperspace (6.1)
Quadro P4000 (6.1)
Quadro P4000 Paperspace (6.1)
GeForce GTX 1060 (6.1)
Quadro P3000 (6.1)
Quadro M4000 (5.2)
GeForce GTX 1050Ti (6.1)
Tesla k20c (3.5)
GeForce GTX 750 Ti (5.0)
Quadro P1000 (6.1)
Quadro K2200 (5.0)
Quadro P600 (6.1)
GeForce GPU (5.0)
Quadro K4000 (3.0)
Quadro K620 (5.0)
GeForce GT 740M (3.5)
Quadro K600 (3.0)

Our Expertise

Our highly experienced multilingual team has worked across a wide range of industries and have experience providing design and analysis services across the whole R&D process - from evaluating the initial proof of concepts through to debugging prototype performance, and stray light analysis of large optical systems.