The new CUDA.NET Tutorials category was created to collect and manage resources and materials for developers starting to work and develop with CUDA.NET library for various platforms.
The usual composition will be of articles on specific topics and gradually increasing complexity.
This post will include an additional Table of Contents for published articles as we go.
Table of Contents
For any question or comment, please contact us through our email address: support (at) cass-hpc.com.
We are happy to announce the release of CUDA.NET version 3.0.0.
This release provides support for latest CUDA 3.0 API and few more updates that will make programming with CUDA from .NET easier and faster.
- Support for CUDA 3.0 API
- Added memset functions for CUDA class
- Supporting new graphics interoperability functions
- Improved generics support for memory operations
- Added CUDAContextSynchronizer class
Improved memory operations
We employ GCHandle class to be used with generic memory copies in CUDA class. This method allows to work with every data type (existing vectors or user defined) natively in .NET. The implication is that now you can copy existing custom arrays of structures/classes (user data-types) to device with memory copy functions.
This class was added to assist developers in multi-GPU and multi-threaded environments sharing the same device. It uses existing CUDA API to manipulate the context each thread is attached to and provides .NET means to synchronize between threads sharing the same device for different computations.
Find it under the Tools namespace, the documentation includes a description of how to use it.
We hope you will enjoy this release.
As always, please send us comments or suggestions to: firstname.lastname@example.org.
We are glad to introduce a new library for video decoding, Vicodeo™, featuring accelerated performance for faster than real-time decoding of H.264, MPEG-2 (and more) video streams – in managed environments (.NET / Java).
Video processing nowadays has become a computing intensive task. Being able to accelerate decoding and various processing tasks, opens the door for many types of applications and usage of video in life, from: high-quality films, security/surveillance cameras, live events, video conversations over the web and much more.
Our library provides many capabilities beyond real-time (+) decoding of 1080p (Full HD) streams:
- Codec support: H.264, MPEG-2, VC-1 and more
- Color space conversion from YUV 4:2:0 to RGB (accelerated)
- Integrated parser for elementary/transport streams and video packets
- Simple integration with DirectX or OpenGL
- Faster than real-time decoding for 1080p even on low-end platforms
- Optional immediate decoding of frames, without buffering
- And more!
For more information: Video Decoding.
We are glad to announce a new service added to Hoopoe™ for video transcoding on demand.
Using the service allows users to transcode (convert) existing video files from various formats to the recent H.264 standard, at unmatched quality, speed and price.
Using GPU acceleration, we can convert HD movies and beyond at least x10 faster compared to existing equivalents.
Encodeo™ is not just a video transcoding service – it is possible to define advanced parameters for the transcoding process, such as:
- Filters / effect to apply on source video
- and more…
If you are interested to hear more about the service and potential to use it, please contact us at: email@example.com.
For more information: Encodeo™