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Forward compatibility or upward compatibility is a design characteristic that allows a system to accept input intended for a later version of itself. The concept can be applied to entire systems, electrical interfaces , telecommunication signals , data communication protocols , file formats , and programming languages .
Shared memory – CUDA exposes a fast shared memory region that can be shared among threads. This can be used as a user-managed cache, enabling higher bandwidth than is possible using texture lookups. [23] Faster downloads and readbacks to and from the GPU; Full support for integer and bitwise operations, including integer texture lookups
ROCm is free, libre and open-source software (except the GPU firmware blobs [4]), and it is distributed under various licenses. ROCm initially stood for Radeon Open Compute platfor m ; however, due to Open Compute being a registered trademark, ROCm is no longer an acronym — it is simply AMD's open-source stack designed for GPU compute.
rCUDA, which stands for Remote CUDA, is a type of middleware software framework for remote GPU virtualization. Fully compatible with the CUDA application programming interface ( API ), it allows the allocation of one or more CUDA-enabled GPUs to a single application.
Conversations (Android) F-Droid (Android) – app store and software repository; I2P (Android) – anonymous network layer (implemented as a mix network) that allows for censorship-resistant, peer-to-peer communication. Kiwix: Offline web browser that allows users to download the entire content of Wikipedia for offline learning purposes. (Android)
MATLAB supports GPGPU acceleration using the Parallel Computing Toolbox and MATLAB Distributed Computing Server, [23] and third-party packages like Jacket. GPGPU processing is also used to simulate Newtonian physics by physics engines , [ 24 ] and commercial implementations include Havok Physics, FX and PhysX , both of which are typically used ...
CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU.
Free and Open Hardware organizations like FOSSi, LowRISC, and others, would also benefit from the development of an open graphical hardware standard. This would then provide computer manufacturers, hobbyists, and the like with a complete, royalty-free platform with which to develop computing hardware and related devices.