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Virtualization-Emulation-Guide

Virtualization/Emulation Guide
https://github.com/mikeroyal/Virtualization-Emulation-Guide

Last synced: 13 days ago
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C/C++ Learning Resources

Interfaces

C/C++ Tools, Libraries and Frameworks

Interfaces

  • AWS SDK for C++
  • Visual Studio Code
  • ReSharper C++
  • CLion - platform IDE for C and C++ developers developed by JetBrains.
  • Code::Blocks
  • Conan
  • High Performance Computing (HPC) SDK
  • Boost - edge C++. Boost has been a participant in the annual Google Summer of Code since 2007, in which students develop their skills by working on Boost Library development.
  • Automake
  • Cmake - source, cross-platform family of tools designed to build, test and package software. CMake is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the compiler environment of your choice.
  • GDB
  • GCC - C, Fortran, Ada, Go, and D, as well as libraries for these languages.
  • GSL - squares fitting. There are over 1000 functions in total with an extensive test suite.
  • OpenGL Extension Wrangler Library (GLEW) - platform open-source C/C++ extension loading library. GLEW provides efficient run-time mechanisms for determining which OpenGL extensions are supported on the target platform.
  • Libtool
  • Maven
  • TAU (Tuning And Analysis Utilities) - based sampling. All C++ language features are supported including templates and namespaces.
  • Clang - C, C++ and Objective-C++ compiler when targeting X86-32, X86-64, and ARM (other targets may have caveats, but are usually easy to fix). Clang is used in production to build performance-critical software like Google Chrome or Firefox.
  • OpenCV - time applications. Cross-Platform C++, Python and Java interfaces support Linux, MacOS, Windows, iOS, and Android.
  • Oat++ - efficient web application. It's zero-dependency and easy-portable.
  • Cython
  • Infer - C, and C. Infer is written in OCaml.
  • Azure SDK for C++
  • Azure SDK for C
  • C++ Client Libraries for Google Cloud Services
  • Vcpkg
  • CppSharp
  • JavaCPP
  • Spdlog - only/compiled, C++ logging library.

C# Learning Resources

Interfaces

C# Tools, Libraries and Frameworks

Interfaces

  • Visual Studio - rich application that can be used for many aspects of software development. Visual Studio makes it easy to edit, debug, build, and publish your app. By using Microsoft software development platforms such as Windows API, Windows Forms, Windows Presentation Foundation, and Windows Store.
  • ANTLR (ANother Tool for Language Recognition)
  • Mono
  • Roslyn
  • Uno Platform - based code (C# and XAML) to run on iOS, Android, macOS, WebAssembly, Linux and Windows 7. It provides the full definitions of the UWP Windows 10 2004 (19041), and the implementation of a growing number of parts of the UWP API, such as Windows.UI.Xaml, to enable UWP and WinUI applications to run on these platforms.
  • Rider - platform .NET IDE devloped by JetBrains to develop .NET, ASP.NET, .NET Core, Xamarin; or Unity applications for Windows, Mac, Linux.
  • Resharper - the-fly code quality analysis for C#, VB.NET, XAML, ASP.NET, ASP.NET MVC, JavaScript, TypeScript, CSS, HTML, and XML. Letting you know right away if your code needs to be improved.
  • dotPeek
  • dotTrace
  • dotMemory
  • dotCover - the-fly which unit tests are affected by your latest code changes, and automatically re-runs the affected tests for you. The continuous testing mode can be switched on for any unit test session.
  • Json.NET - performance JSON framework for .NET.
  • .NET Fiddle
  • Octopus Deploy
  • Appveyor - based continuous integration system that integrates natively with your source control and allows CI configuration files to live alongside your projects.
  • AppHarbor - as-a-Service that let's developers deploy and scale any standard .NET application to the cloud.
  • MSBuild
  • Bot Framework - source, visual authoring canvas for developers and multi-disciplinary teams to design and build conversational experiences with Language.
  • Quasar - weight remote administration tool coded in C#. The usage ranges from user support through day-to-day administrative work to employee monitoring. Providing high stability and an easy-to-use user interface, Quasar is the perfect remote administration solution for you.
  • CodeMaid
  • AutoRest - Specification) format. It Supports C#, PowerShell, Go, Java, Node.js, TypeScript, Python, Ruby.
  • Markdig
  • AppHarbor - as-a-Service that let's developers deploy and scale any standard .NET application to the cloud.
  • Roslyn

CUDA Learning Resources

Interfaces

CUDA Tools Libraries, and Frameworks

Interfaces

  • CUDA Toolkit - accelerated applications. The CUDA Toolkit allows you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and HPC supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library to build and deploy your application on major architectures including x86, Arm and POWER.
  • NVIDIA cuDNN - accelerated library of primitives for deep neural networks. cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. cuDNN accelerates widely used deep learning frameworks, including Caffe2, Chainer, Keras, MATLAB, MxNet, PyTorch, and TensorFlow.
  • CUDA-X HPC - X HPC includes highly tuned kernels essential for high-performance computing (HPC).
  • Chainer - based deep learning framework aiming at flexibility. It provides automatic differentiation APIs based on the define-by-run approach (dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks. It also supports CUDA/cuDNN using CuPy for high performance training and inference.
  • CuPy - compatible multi-dimensional array on CUDA. CuPy consists of the core multi-dimensional array class, cupy.ndarray, and many functions on it. It supports a subset of numpy.ndarray interface.
  • CatBoost
  • cuDF - like API that will be familiar to data engineers & data scientists, so they can use it to easily accelerate their workflows without going into the details of CUDA programming.
  • ArrayFire - purpose library that simplifies the process of developing software that targets parallel and massively-parallel architectures including CPUs, GPUs, and other hardware acceleration devices.
  • AresDB - powered real-time analytics storage and query engine. It features low query latency, high data freshness and highly efficient in-memory and on disk storage management.
  • NVIDIA Container Toolkit - container) and utilities to automatically configure containers to leverage NVIDIA GPUs.
  • CUTLASS - performance matrix-multiplication (GEMM) at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS.
  • CUB
  • Tensorman
  • Numba - aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax. Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support for automatic parallelization of loops, generation of GPU-accelerated code, and creation of ufuncs and C callbacks.
  • cuML - learn.
  • Thrust - level interface greatly enhances programmer productivity while enabling performance portability between GPUs and multicore CPUs.
  • Arraymancer - dimensional array) project in Nim. The main focus is providing a fast and ergonomic CPU, Cuda and OpenCL ndarray library on which to build a scientific computing ecosystem.
  • Kintinuous - time dense visual SLAM system capable of producing high quality globally consistent point and mesh reconstructions over hundreds of metres in real-time with only a low-cost commodity RGB-D sensor.
  • GraphVite - speed and large-scale embedding learning in various applications.

Docker Learning Resources

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Docker Tools

Interfaces

FPGA Learning Resources

Interfaces

FPGA Tools

Interfaces

  • LabVIEW FPGA - on for LabVIEW that you can use to more efficiently and effectively design FPGA-based systems through a highly integrated development environment, IP libraries, a high-fidelity simulator, and debugging features.
  • Tock - M and RISC-V based embedded platforms. Tock's design centers around protection, both from potentially malicious applications and from device drivers.
  • LLVM - end(parser and lexer) and a back-end (code that converts LLVM's representation to actual machine code).
  • TinyGo - line tools.
  • Chipyard - based systems-on-chip. It will allow you to leverage the Chisel HDL, Rocket Chip SoC generator, and other Berkeley projects to produce a RISC-V SoC with everything from MMIO-mapped peripherals to custom accelerators.
  • Renode
  • Diosix - metal hypervisor written in Rust for RISC-V.
  • Apio - built packages, project configuration tools and easy command interface to verify, synthesize, simulate and upload your verilog designs.
  • IceStorm
  • FuseSoC - winning package manager and a set of build tools for HDL (Hardware Description Language) code and FPGA/ASIC development.
  • OpenWiFi - source IEEE802.11/Wi-Fi baseband chip/FPGA design.
  • PipeCNN - based FPGA Accelerator for Large-Scale Convolutional Neural Networks (CNNs). Currently, there is a growing trend among developers in the FPGA community to utilize High Level Synthesis (HLS) tools to design and implement customized circuits on FPGAs.
  • Tock - M and RISC-V based embedded platforms. Tock's design centers around protection, both from potentially malicious applications and from device drivers.
  • OpenTimer - Performance Timing Analysis Tool for VLSI Systems.
  • The Eclipse Embedded CDT - ins for Arm & RISC-V C/C++ developers.
  • Unicorn - platform, multi-architecture CPU emulator framework(ARM, AArch64, M68K, Mips, Sparc, X86) based on QEMU.
  • Keystone - platform, multi-architecture(Arm, Arm64, Hexagon, Mips, PowerPC, Sparc, SystemZ & X86) assembler framework.
  • Reko
  • LLVM - end(parser and lexer) and a back-end (code that converts LLVM's representation to actual machine code).

Go Learning Resources

Interfaces