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G2CPU GPU and CPU HPC by Natan Biesmans - Toolkit for LabVIEW Download

G2CPU GPU and CPU high performance computing toolkit

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Version1.5.0.3
ReleasedMar 20, 2025
Publisher Natan Biesmans
License G2CPU License Agreement
LabVIEW VersionLabVIEW x64>=20.0
Operating System Windows x64
Project links Homepage   Discussion

Description

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G2CPU GPU and CPU high performance computing toolkit

G2CPU is a general high performance computing library for LabVIEW based on ArrayFire.
Through the same code you can dynamically choose where the computational task is executed with absolutely no hassle. Code can be run on standard CPU's, Nvidia CUDA devices and OpenCL compatible devices.

You have access to general arithmetic, array manipulation, signal processing, vector algorithms, machine vision and many more with even more to come.

Supported Technologies
CPU
When running code on you CPU the computational task is divided over multiple cores. Fully utilizing the CPU without the need for manual thread control.

CUDA
Maximize your computational power on Nvidia GPU's by using Nvidia's CUDA technology.

OpenCL
Throug OpenCL you can run code on most commercial GPU's from all the big vendors like Intel, AMD and Nvidia. You can even run your code on the integrated graphics card on your CPU. (if available)

Intel OneAPI
The Intel OneAPI is provides its own unified acces to hardware which ranges from CPU's, GPU's to even accelerators and FPGA's. Make sure to download the latest version before using this backend.

Release Notes

1.5.0.3 (Mar 20, 2025)

New features
- Signal density plots

- GPU accelerated data visualization in floating windows
- GPU accelerated data visualization in embedded windows
Bug Fixes:
- LabVIEW scalars fed into functions would cause a small memory leak. This had an impact on the memory manager having to do more work.
- LabVIEW analog index functions had some edge cases which would break normal operation


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