VHDL-Guide

VHDL Guide
https://github.com/mikeroyal/VHDL-Guide

Last synced: 3 days ago
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OpenCL Learning Resources
- OpenCL | GitHub
- Khronos Group | GitHub
- Open Computing Language (OpenCL) - to-parallel-computing-zNrIS) of heterogeneous platforms consisting of CPUs, GPUs, and other hardware accelerators found in supercomputers, cloud servers, personal computers, mobile devices and embedded platforms.
- OpenCL | GitHub
- Khronos Technology Courses and Training
- OpenCL Tutorials - StreamHPC
- Introduction to Intel® OpenCL Tools
- OpenCL | NVIDIA Developer
- Introduction to OpenCL on FPGAs Course | Coursera
- Compiling OpenCL Kernel to FPGAs Course | Coursera
- OpenCL Tutorials - StreamHPC
OpenCL Tools, Libraries and Frameworks
- RenderDoc - alone graphics debugger that allows quick and easy single-frame capture and detailed introspection of any application using Vulkan, D3D11, OpenGL & OpenGL ES or D3D12 across Windows, Linux, Android, Stadia, or Nintendo Switch™.
- GPUVerify
- Radeon™ GPU Profiler
- Radeon™ GPU Analyzer
- AMD Radeon ProRender - based rendering engine that enables creative professionals to produce stunningly photorealistic images on virtually any GPU, any CPU, and any OS in over a dozen leading digital content creation and CAD applications.
- NVIDIA Omniverse - GPU, real-time simulation and collaboration platform for 3D production pipelines based on Pixar's Universal Scene Description and NVIDIA RTX.
- Intel® SDK For OpenCL™ Applications - intensive workloads. Customize heterogeneous compute applications and accelerate performance with kernel-based programming.
- NVIDIA NGC - optimized software for deep learning, machine learning, and high-performance computing (HPC) workloads.
- NVIDIA NGC Containers - accelerated software for AI, machine learning and HPC. These containers take full advantage of NVIDIA GPUs on-premises and in the cloud.
- NVIDIA cuDNN - accelerated library of primitives for [deep neural networks](https://developer.nvidia.com/deep-learning). 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](https://caffe2.ai/), [Chainer](https://chainer.org/), [Keras](https://keras.io/), [MATLAB](https://www.mathworks.com/solutions/deep-learning.html), [MxNet](https://mxnet.incubator.apache.org/), [PyTorch](https://pytorch.org/), and [TensorFlow](https://www.tensorflow.org/).
- PV(ParaVirtualization) - assisted virtualization.
- Network functions virtualization (NFV)
- Software Defined Networking (SDN) - based controllers or application programming interfaces (APIs) to communicate with underlying hardware infrastructure and direct traffic on a network. This model differs from that of traditional networks, which use dedicated hardware devices (routers and switches) to control network traffic.
- Virtualized Infrastructure Manager (VIM)
- Management and Orchestration(MANO) - hosted initiative to develop an Open Source NFV Management and Orchestration (MANO) software stack aligned with ETSI NFV. Two of the key components of the ETSI NFV architectural framework are the NFV Orchestrator and VNF Manager, known as NFV MANO.
- Magma - effective and extensible carrier-grade networks. Magma is 3GPP generation (2G, 3G, 4G or upcoming 5G networks) and access network agnostic (cellular or WiFi). It can flexibly support a radio access network with minimal development and deployment effort.
- OpenRAN - vendor deployments.
- Open vSwitch(OVS)
- Edge
- Multi-access edge computing (MEC) - parties across multi-vendor Multi-access Edge Computing platforms.
- Virtualized network functions(VNFs)
- Cloud-Native Network Functions(CNF)
- Physical Network Function(PNF)
- Network functions virtualization infrastructure(NFVI)
- Virtualization-based Security (VBS)
- Hypervisor-Enforced Code Integrity (HVCI) - V, uses hardware virtualization to protect kernel-mode processes against the injection and execution of malicious or unverified code. Code integrity validation is performed in a secure environment that is resistant to attack from malicious software, and page permissions for kernel mode are set and maintained by the hypervisor.
- KVM (for Kernel-based Virtual Machine) - V). It consists of a loadable kernel module, kvm.ko, that provides the core virtualization infrastructure and a processor specific module, kvm-intel.ko or kvm-amd.ko.
- QEMU
- Hyper-V
- oVirt - source distributed virtualization solution, designed to manage your entire enterprise infrastructure. oVirt uses the trusted KVM hypervisor and is built upon several other community projects, including libvirt, Gluster, PatternFly, and Ansible.Founded by Red Hat as a community project on which Red Hat Enterprise Virtualization is based allowing for centralized management of virtual machines, compute, storage and networking resources, from an easy-to-use web-based front-end with platform independent access.
- Apple Hypervisor - party kernel extensions. Hypervisor provides C APIs so you can interact with virtualization technologies in user space, without writing kernel extensions (KEXTs). As a result, the apps you create using this framework are suitable for distribution on the [Mac App Store](https://www.appstore.com/).
- Apple Virtualization Framework - level APIs for creating and managing virtual machines on Apple silicon and Intel-based Mac computers. This framework is used to boot and run a Linux-based operating system in a custom environment that you define. It also supports the [Virtio specification](https://www.redhat.com/en/virtio-networking-series), which defines standard interfaces for many device types, including network, socket, serial port, storage, entropy, and memory-balloon devices.
- Apple Paravirtualized Graphics Framework - accelerated graphics for macOS running in a virtual machine, hereafter known as the guest. The operating system provides a graphics driver that runs inside the guest, communicating with the framework in the host operating system to take advantage of Metal-accelerated graphics.
- Packer
- Vagrant - to-use workflow and focus on automation, Vagrant lowers development environment setup time, increases production parity, and makes the "works on my machine" excuse a relic of the past. It provides easy to configure, reproducible, and portable work environments built on top of industry-standard technology and controlled by a single consistent workflow to help maximize the productivity and flexibility of you and your team.
- Parallels Desktop - unleashes-m1/)) and ChromeOS.
- VMware Workstation
- Verdi® Protocol Analyzer
- Synopsys’ Verdi® HW SW Debug - driven SoC verification by providing a synchronized multi-window view of the design’s behavior of both hardware and software. It combines an instruction accurate embedded processor, RTL, C and assembly visibility for a comprehensive SoC debug solution.
- Veloce Hardware-assisted Verification System - generation integrated circuit (IC) designs. It is the first complete, integrated offering that combines best-in-class virtual platform, hardware emulation, and Field Programmable Gate Array (FPGA) prototyping technologies and paves the way to leverage the latest powerful hardware-assisted verification methodologies.
- SystemVerilog DPI (Direct Programming Interface)
- SystemVerilog Assertions
- SystemVerilog Functional Coverage
- Verilog-to-Routing (VTR) project - wide collaborative effort to provide a open-source framework for conducting FPGA architecture and CAD research and development. The VTR design flow takes as input a Verilog description of a digital circuit, and a description of the target FPGA architecture.
- Verilog Power Estimation
- Universal Verification Methodology (UVM) - testbench-acceleration).
- OpenCL ICD Loader
- clBLAS
- clFFT
- clSPARSE
- clRNG
- CLsmith - core environment, OpenCL. Its primary feature is the generation of random OpenCL kernels, exercising many features of the language. It also brings a novel idea of applying EMI, via dead-code injection.
- Oclgrind - races and barrier divergence, collecting instruction histograms, and for interactive OpenCL kernel debugging. The simulator is built on an interpreter for LLVM IR.
- NVIDIA Container Toolkit - container) and utilities to automatically configure containers to leverage NVIDIA GPUs.
- VirtManager
- HyperKit - level components such as the [VPNKit](https://github.com/moby/vpnkit) and [DataKit](https://github.com/moby/datakit). HyperKit currently only supports macOS using the [Hypervisor.framework](https://developer.apple.com/library/mac/documentation/DriversKernelHardware/Reference/Hypervisor/index.html) making it a core component of Docker Desktop for Mac.
- Cloud Hypervisor - lang.org/) and is based on the [rust-vmm](https://github.com/rust-vmm) crates.
- Xen
- Ganeti
- Edge
- GPUVerify
- Intel® SDK For OpenCL™ Applications - intensive workloads. Customize heterogeneous compute applications and accelerate performance with kernel-based programming.
- NVIDIA® Nsight™ Visual Studio Edition
- Intel® Graphics Virtualization Technology (Intel® GVT) - through, starting from 4th generation Intel Core (TM) processors with Intel processor graphics(Broadwell and newer). It can be used to virtualize the GPU for multiple guest virtual machines, effectively providing near-native graphics performance in the virtual machine and still letting your host use the virtualized GPU normally.
- Synopsys Euclide - by-construction code development through context specific autocompletion and content assistance that is tuned for Synopsys VCS® simulation, Verdi® debug, and ZeBu® emulation, helping engineers to improve code quality during the entire project development cycle.
- Simvision - level and transaction-based flows across all IEEE-standard design, testbench, and assertion languages. It also supports concurrent visualization of hardware, software, and analog domains. It can be used to debug digital, analog, or mixed-signal designs written in Verilog, SystemVerilog, VHDL, and SystemC® languages or a combination thereof.
- Cadence® Palladium®
- Synopsys ZeBu® EP1 - up, hybrid, hardware/software debug, simulation acceleration, performance validation and in-circuit emulation.
- Cadence® SpeedBridge® Adapters - level testing. It's designed for pre-silicon RTL and integration of ASICs and systems on chip (SoCs), the solution can reproduce post-silicon bugs, as the design runs in the actual target system. The solution verifies emulated designs with the actual ASIC/SoC software/hardware, driver development, and application development, and runs with existing software and software test programs.
- NVIDIA NGC Containers - accelerated software for AI, machine learning and HPC. These containers take full advantage of NVIDIA GPUs on-premises and in the cloud.
- VMware Workstation
- CLsmith - core environment, OpenCL. Its primary feature is the generation of random OpenCL kernels, exercising many features of the language. It also brings a novel idea of applying EMI, via dead-code injection.
Firmware Learning Resources
Firmware Tools, Libraries, and Frameworks
- Coreboot
- TianoCore - rich, cross-platform firmware development environment for the UEFI and UEFI Platform Initialization (PI) specifications.
- EDK II - rich, cross-platform firmware development environment for the UEFI and PI specifications .
- OpenWrt Project
- OpenSK - source implementation for security keys written in Rust that supports both FIDO U2F and [FIDO2](https://fidoalliance.org/fido2/) standards.
- Linux Vendor Firmware Service(LVFS)
- CHIPSEC
- Secure boot
- Trusted Platform Module (TPM - based, security-related functions. A TPM chip is a secure crypto-processor that is designed to carry out cryptographic operations.
- Intel® oneAPI Base Toolkit - driven, data-centric applications across CPUs, GPUs, and FPGAs. For more specialized workloads, use the Base Kit with one or more add-on toolkits.
- Intel® oneAPI HPC Toolkit
- Intel® oneAPI IoT Toolkit - performing, efficient, reliable solutions that run at the network’s edge.
- Intel® oneAPI Rendering Toolkit - Fidelity Rendering and Visualization Applications with Powerful Libraries.
- Intel® Distribution of OpenVINO™ Toolkit
- Mellanox firmware update and query utility
- Mellanox FlexBoot - iSCSI). Combined with Virtual Protocol Interconnect (VPI) technologies available in ConnectX®-3 and onwards adapters, FlexBoot gives IT Managers the flexibility to deploy servers with one adapter card into InfiniBand or Ethernet networks with the ability to boot from LAN or remote storage targets.
- OpenSK - source implementation for security keys written in Rust that supports both FIDO U2F and [FIDO2](https://fidoalliance.org/fido2/) standards.
- fwupd
- System76 Firmware - line inferface) tool for installing firmware updates. Also, included is the system76-firmware-daemon package, which has a systemd service that exposes a DBUS API for handling firmware updates.
- Firmware Manager - firmware](https://github.com/pop-os/system76-firmware) and [fwupd](https://github.com/fwupd/fwupd), written in Rust.
- Heimdall - platform open-source tool suite used to flash firmware (aka ROMs) onto Samsung mobile devices.
- Nexmon - based firmware patching framework for Broadcom/Cypress WiFi chips that enables you to write your own firmware patches, for example, to enable monitor mode with radiotap headers and frame injection.
- Firmware Analysis Toolkit - store.com/collections/training/products/offensive-iot-exploitation) training conducted by [Attify](https://attify.com/).
- Firmware Analysis and Comparison Tool
- QMK Toolbox - detection and auto-flashing of firmware to keyboards.
- QMK(Quantum Mechanical Keyboard) Firmware - source keyboard firmware for Atmel AVR and [Arm](https://www.arm.com/) USB controllers, and more specifically, the [OLKB product line](https://olkb.com/), the [ErgoDox EZ keyboard](https://ergodox-ez.com/), and the [Clueboard product line](https://clueboard.co/).
- TMK Keyboard Firmware - M.
- Linux Vendor Firmware Service(LVFS)
MATLAB Learning Resources
MATLAB Tools, Libraries, Frameworks
- MATLAB and Simulink Services & Applications List
- MATLAB in the Cloud - cloud) including [AWS](https://aws.amazon.com/) and [Azure](https://azure.microsoft.com/).
- MATLAB Online™
- Simulink - Based Design. It supports simulation, automatic code generation, and continuous testing of embedded systems.
- Simulink Online™
- MATLAB Drive™
- Reinforcement Learning Toolbox™ - making algorithms for complex applications such as resource allocation, robotics, and autonomous systems.
- Image Processing Toolbox™ - standard algorithms and workflow apps for image processing, analysis, visualization, and algorithm development. You can perform image segmentation, image enhancement, noise reduction, geometric transformations, image registration, and 3D image processing.
- Computer Vision Toolbox™
- Statistics and Machine Learning Toolbox™
- Lidar Toolbox™ - camera cross calibration for workflows that combine computer vision and lidar processing.
- Mapping Toolbox™
- UAV Toolbox
- Partial Differential Equation Toolbox™
- ROS Toolbox
- Robotics Toolbox™ - holonomic vehicle. The Toolbox also including a detailed Simulink model for a quadrotor flying robot.
- Deep Learning Toolbox™ - term memory (LSTM) networks to perform classification and regression on image, time-series, and text data. You can build network architectures such as generative adversarial networks (GANs) and Siamese networks using automatic differentiation, custom training loops, and shared weights. With the Deep Network Designer app, you can design, analyze, and train networks graphically. It can exchange models with TensorFlow™ and PyTorch through the ONNX format and import models from TensorFlow-Keras and Caffe. The toolbox supports transfer learning with DarkNet-53, ResNet-50, NASNet, SqueezeNet and many other pretrained models.
- Deep Learning HDL Toolbox™ - built bitstreams for running a variety of deep learning networks on supported Xilinx® and Intel® FPGA and SoC devices. Profiling and estimation tools let you customize a deep learning network by exploring design, performance, and resource utilization tradeoffs.
- Model Predictive Control Toolbox™ - loop simulations, you can evaluate controller performance.
- Vision HDL Toolbox™ - streaming algorithms for the design and implementation of vision systems on FPGAs and ASICs. It provides a design framework that supports a diverse set of interface types, frame sizes, and frame rates. The image processing, video, and computer vision algorithms in the toolbox use an architecture appropriate for HDL implementations.
- SoC Blockset™
- Wireless HDL Toolbox™ - verified, hardware-ready Simulink® blocks and subsystems for developing 5G, LTE, and custom OFDM-based wireless communication applications. It includes reference applications, IP blocks, and gateways between frame and sample-based processing.
- ThingSpeak™ - of-concept IoT systems that require analytics.
- hctsa - series analysis using Matlab.
- Plotly
- YALMIP
- GNU Octave - level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation.
- MATLAB Schemer
- LRSLibrary - Rank and Sparse Tools for Background Modeling and Subtraction in Videos. The library was designed for moving object detection in videos, but it can be also used for other computer vision and machine learning problems.
- SEA-MAT
- Gramm - level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
- Parallel Computing Toolbox™ - intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs such as parallel for-loops, special array types, and parallelized numerical algorithms enable you to parallelize MATLAB® applications without CUDA or MPI programming. The toolbox lets you use parallel-enabled functions in MATLAB and other toolboxes. You can use the toolbox with Simulink® to run multiple simulations of a model in parallel. Programs and models can run in both interactive and batch modes.
- hctsa - series analysis using Matlab.
Verilog/SystemVerilog Learning Resources
Verilog/SystemVerilog Tools
- Icestudio
- EDA Playground
- PlatformIO - in. It provides support for multiplatforms and frameworks such as IoT, Arduino, CMSIS, ESP-IDF, FreeRTOS, libOpenCM3, mbed OS, Pulp OS, SPL, STM32Cube, Zephyr RTOS, ARM, AVR, Espressif (ESP8266/ESP32), FPGA, MCS-51 (8051), MSP430, Nordic (nRF51/nRF52), NXP i.MX RT, PIC32, RISC-V.
- PlatformIO for VSCode
- Chisel - lang.org/) programming language, providing designers with the power of a modern programming language to write complex, parameterizable circuit generators that produce synthesizable Verilog.
- Clash compiler - level descriptions to low-level synthesizable VHDL, Verilog, or SystemVerilog.
- Verilator - source SystemVerilog simulator and lint system.
- Verilog to Routing(VTR) - source framework for conducting FPGA architecture and CAD Research & Development. The VTR design flow takes as input a Verilog description of a digital circuit, and a description of the target FPGA architecture.
- Cascade - In-Time Compiler for Verilog from VMware Research. Cascade executes code immediately in a software simulator, and performs compilation in the background. When compilation is finished, the code is moved into hardware, and from the user’s perspective it simply gets faster over time.
- Apio - built packages, project configuration tools and easy command interface to verify, synthesize, simulate and upload your verilog designs.
- IceStorm
- OpenTimer - Performance Timing Analysis Tool for VLSI Systems.
Assembly Learning Resources
- Assembly - level programming language. It uses mnemonic codes and labels to represent machine-level code with each instruction corresponding to just one machine operation.
- RISC-V Foundation - profit corporation controlled by its 500 members(NVIDIA, Google, Samsung, Raspberry Pi, SiFive, Canonical, and Western Digital) to drive forward the adoption and implementation of the free and open RISC-V instruction set architecture (ISA).
- Intel® 64 and IA-32 Architectures Software Developer’s Manual
- Introduction to x64 Assembly from Intel
- x86 Assembly Language Reference Manual for Open Solaris
- AMD64 Architecture Programmer’s Manual Volume 1-5
- AMD Developer Guides, Manuals, and ISA Documents
- Assembler language from IBM
- The Assembler language on z/OS from IBM
- MIPS Architecture & Technology from Wave Computing
- Assemblies in .NET
- Microsoft Macro Assembler reference
- Compiler Intrinsics and Assembly Language from Microsoft
- x86 and amd64 instruction Reference
- Intro to x86 Assembly Language Programming
- Learn Assembly Programming courses on Udemy
- Assembly Languages and Assemblers courses on Coursera
- Intro to Assembly Language from MIT
C/C++ Learning Resources
- C++ - platform language that can be used to build high-performance applications developed by Bjarne Stroustrup, as an extension to the C language.
- C - purpose, high-level language that was originally developed by Dennis M. Ritchie to develop the UNIX operating system at Bell Labs. It supports structured programming, lexical variable scope, and recursion, with a static type system. C also provides constructs that map efficiently to typical machine instructions, which makes it one was of the most widely used programming languages today.
- Embedded C - committee) to address issues that exist between C extensions for different [embedded systems](https://en.wikipedia.org/wiki/Embedded_system). The extensions hep enhance microprocessor features such as fixed-point arithmetic, multiple distinct memory banks, and basic I/O operations. This makes Embedded C the most popular embedded software language in the world.
- C & C++ Developer Tools from JetBrains
- Open source C++ libraries on cppreference.com
- C++ Graphics libraries
- C++ Libraries in MATLAB
- C++ Tools and Libraries Articles
- Google C++ Style Guide
- Introduction C++ Education course on Google Developers
- C++ style guide for Fuchsia
- C and C++ Coding Style Guide by OpenTitan
- Chromium C++ Style Guide
- C++ Core Guidelines
- C++ Style Guide for ROS
- Learn C++
- Learn C : An Interactive C Tutorial
- C++ Institute
- C++ Online Training Courses on LinkedIn Learning
- C++ Tutorials on W3Schools
- Learn C Programming Online Courses on edX
- Learn C++ with Online Courses on edX
- Learn C++ on Codecademy
- Coding for Everyone: C and C++ course on Coursera
- C++ For C Programmers on Coursera
- Top C Courses on Coursera
- C++ Online Courses on Udemy
- Top C Courses on Udemy
- Basics of Embedded C Programming for Beginners on Udemy
- C++ For Programmers Course on Udacity
- C++ Fundamentals Course on Pluralsight
- Introduction to C++ on MIT Free Online Course Materials
- Introduction to C++ for Programmers | Harvard
- Online C Courses | Harvard University
C/C++ Tools, Libraries and Frameworks
- AWS SDK for C++
- 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.
- Visual Studio Code
- ReSharper C++
- AppCode - fixes to resolve them automatically. AppCode provides lots of code inspections for Objective-C, Swift, C/C++, and a number of code inspections for other supported languages. All code inspections are run on the fly.
- 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.
- Libcu++
- ANTLR (ANother Tool for Language Recognition)
- Oat++ - efficient web application. It's zero-dependency and easy-portable.
- Cython
- Infer - C, and C. Infer is written in [OCaml](https://ocaml.org/).
- sparkfun
- andrewpover.co.uk
- vecteezy
- differencebetween
- electrical4u
- Azure SDK for C++
- Azure SDK for C
- C++ Client Libraries for Google Cloud Services
- Vcpkg
- CppSharp
- Thrust - level interface greatly enhances programmer productivity while enabling performance portability between GPUs and multicore CPUs. Interoperability with established technologies such as CUDA, TBB, and OpenMP integrates with existing software.
- JavaCPP
- Spdlog - only/compiled, C++ logging library.
- differencebetween

Programming Languages

C++ 10 C 10 Python 5 Rust 4 MATLAB 3 Verilog 2 C# 2 Java 1 CMake 1 HTML 1

ecosyste.ms

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Tools

Indexes

Applications

Experiments

Awesome

VHDL-Guide

OpenCL Learning Resources

OpenCL Tools, Libraries and Frameworks

Firmware Learning Resources

Firmware Tools, Libraries, and Frameworks

MATLAB Learning Resources

MATLAB Tools, Libraries, Frameworks

Verilog/SystemVerilog Learning Resources

Verilog/SystemVerilog Tools

Assembly Learning Resources

C/C++ Learning Resources

C/C++ Tools, Libraries and Frameworks