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CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements for the execution of compute kernels. [5] In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications.
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.
The computations are offloaded to the GPUs through either the low-level or the high-level API introduced with CUDA. CUDA is only available for Nvidia's graphics products. Nvidia OptiX is part of Nvidia GameWorks. OptiX is a high-level, or "to-the-algorithm" API, meaning that it is designed to encapsulate the entire algorithm of which ray ...
During the early part of 2010, Fixstars developed a strong relationship with Nvidia and focused its linux distribution for GPU computing. Yellow Dog Enterprise Linux for CUDA is the first enterprise Linux OS optimized for GPU computing. It offers end users, developers and integrators a faster, more reliable, and less complex GPU computing ...
Yellow Dog Linux (YDL) is a discontinued free and open-source operating system for high-performance computing on multi-core processor computer architectures, focusing on GPU systems and computers using the POWER7 processor. The original developer was Terra Soft Solutions, which was acquired by Fixstars in October 2008. [2]
JetPack is a software development kit (SDK) from Nvidia for their Jetson board series. It includes the Linux for Tegra (L4T) operating system and other tools. The official Nvidia download page bears an entry for JetPack 3.2 (uploaded there on 2018-03-08) that states: JetPack 3.2 adds support for the Linux for Tegra r28.2 image for the Jetson OS.
Meson is free and open-source software under the Apache License 2.0. [4] Meson is written in Python and runs on Unix-like (including Linux and macOS), Windows and other operating systems. It supports building C, C++, C#, CUDA, Objective-C, D, Fortran, Java, Rust, and Vala. [5] It handles dependencies via a mechanism named Wrap.
ROCm software is currently spread across several public GitHub repositories. Within the main public meta-repository , there is an XML manifest for each official release: using git-repo , a version control tool built on top of Git , is the recommended way to synchronize with the stack locally.