Open Source Linux Runtimes

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers, embedded, or automotive product platforms. TensorRT is built on CUDA®, NVIDIA’s parallel programming model, and enables you to optimize inference leveraging libraries, development tools, and technologies in CUDA-X™ for artificial intelligence, autonomous machines, high-performance computing, and graphics. With new NVIDIA Ampere Architecture GPUs, TensorRT also leverages sparse tensor cores providing an additional performance boost.

The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed. The NVIDIA Container Toolkit supports different container engines in the ecosystem - Docker, LXC, Podman etc. Follow the User Guide for running GPU containers with these engines. The architecture of the NVIDIA Container Toolkit allows for different container engines in the ecosystem - Docker, LXC, Podman to be supported easily. The NVIDIA Container Toolkit provides different options for enumerating GPUs and the capabilities that are supported for CUDA containers.

Iced is a cross-platform, end-user-oriented GUI library for Rust, inspired by The Elm Architecture. It expects you to split user interfaces into four different concepts, which are: the state of your app; messages, which are user interactions or other meaningful events; view logic, which displays your state as widgets that can result in messages; and update logic, which offers a way to update your state and react to messages. Iced is very simple and easy to use, and is type-safe. It offers many great features including built-in widgets and custom widget support, debug overlay, a modular ecosystem and more.

OCaml is a general-purpose, industrial-strength programming language with an emphasis on expressiveness and safety. OCaml’s powerful type system means more bugs are caught at compile-time, and large, complex codebases are easier to maintain. This makes it a good language for running critical code. At the same time, sophisticated inference makes the type system unobtrusive, creating a smooth developer experience. OCaml has two compilers. One is a bytecode compiler that generates small, portable executables and is very fast. The other is a native code compiler that produces more efficient machine code; its performance matches the highest standards of modern compilers. OCaml has great support for the most popular editors. VS Code is recommended for beginners, and for power users there is deep integration with Vim and Emacs. OCaml has a rich and dynamic community and best-in-class tooling.

This project is a subproject of the WFMATH library, a library providing several complex mathematical primitives. This library will allow .NET programmers to use WFMATH in their code.

Docker is an open platform for developers and sysadmins to build, ship, and run distributed applications. Consisting of Docker Engine, a portable, lightweight runtime and packaging tool, and Docker Hub, a cloud service for sharing applications and automating workflows, Docker enables apps to be quickly assembled from components and eliminates the friction between development, QA, and production environments. As a result, IT can ship faster and run the same app, unchanged, on laptops, data center VMs, and any cloud.

The C++ Advanced Runtime Library (CARL) is an alternative to the C/C++ standard libraries aiming at the high-level APIs and easy usage.

The Intel(R) Graphics Compute Runtime for oneAPI Level Zero and OpenCL(TM) Driver is an open source project providing compute API support (Level Zero, OpenCL) for Intel graphics hardware architectures (HD Graphics, Xe).

This library allows for the programmer to bind arbitrary properties to types which can be accessed at runtime via reflection. Properties can be declared via annotation and later manipulated through a simple static interface; no special naming conventions are required and the properties can be bound to any method which has the appropriate signature.

core-rc contains the runtime configuration and configuration file parsing functions. This is a submodule of µwm. It uses core-array to store the parsed configurations. Planning: application config write.