gpgpu-computing
Here are 6 public repositories matching this topic...
Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.
-
Updated
Apr 9, 2025 - C#
Hardware-accelerated Vector Compute Library for .NET Containing Quality of life improvements and functionality intended for data science, graphical processing and GPGPU.
-
Updated
Apr 28, 2024 - C#
Sniffer, KeyLogger, Clipboard listener, USB scanner with ADS support; Computes Levenshtein minimum edit-distance between two strings
-
Updated
Feb 11, 2019 - C#
Sample project showing parallelism both on CPUs and GPUs in c#.
-
Updated
Aug 1, 2021 - C#
This sample code is experimental. It's too many batches and the Setpass calls. It does work as the GPGPU.
-
Updated
Jan 1, 2019 - C#
Improve this page
Add a description, image, and links to the gpgpu-computing topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the gpgpu-computing topic, visit your repo's landing page and select "manage topics."