What is Lazy Lion NFT?

Lazy Lion NFT is a tool designed for free, Unix, Mac, Windows, Power, ultra low power even in low memory.
Built in GPU with up to 25Mhz speed

What is the goal?

Develop a tool which can make CPU acceleration for NFT modules and GPU in the easiest and quickest way possible. For example, this is the example for CPUs with accelerator modules. Imagine that the processor runs on 1.5MHz speed, that is 800MHz on CPU only, but you are only interested in GPU acceleration.

Now, it may be possible to use some ultra low power processors, that offer only 16Mhz of speed on CPU, or even less, but it would be really hard to integrate the GPU and get rid of many limitations.

such as power delivery, memory controller and other components that are only available on high end processors. Now, suppose you are a programmer, and you want to run TIF, CGL and other programs on CPU.
If you are smart and want to make CPU acceleration, then you can write your own code, and then incorporate it into Lazy Lion NFT to make the most of it. So, not only you are able to get most of the benefits, you are also able to make your application as powerful and fast as it can be.

How it works?

Building your own module (see diagram) is very easy. What is required is to build a module in plain C (without Microsoft components), and then embed it into the NFT module. What does that mean? Simply, simply. This will allow Lazy Lion NFT to make sure that the module that it embeds is loaded as fast as possible, and that it uses all the available GPU power. A module is created by just writing code.
Creating new nft module requires no programming skill. Simple drag and drop, no downloading, no file conversion. Simple code, for example, make sure that it is under 2MB in size and use one stream for all the modules in the module, as shown in the diagram.
Using GPU acceleration will probably not be necessary. At least with some examples, because the CPU will be able to provide everything needed for this (CPU is faster, and won’t be too expensive and there will probably not be too many GPUs). But if you are making the code, of course it will be necessary.

How does GPU get enabled?

GPU is enabled by invoking “sysfs –enablegpu” (on OS X: System Info – Display: Show GPU) which gives GPU hardware information, that is, the speed of the GPU, the memory requirements (x 1G, y 1GB) and probably other information.

GPU is automatically used on any processor with an accelerator module (which includes CPU based accelerator modules, including CPUs, and so on).

How will GPU get enabled?

Before showing you the code, I would like to give you the complete code required for GPU acceleration. To start, create a new module in Lazy Lion NFT, which will be the main module for GPU acceleration. If you are using CPU acceleration, you will be able to get most of the benefits.
You can use Lazy Lion NFT GUI (i.e. windows) to set up some parameters that are needed to make the CPU and GPU available for GPU acceleration.
1. It is really easy to make GPU acceleration in Lazy Lion. Just build and configure a module. Leave all the optional information blank (even for nft modes and clocks). You will be able to make a module as simple as this.
2. By default, GPU acceleration is not enabled.
3. All the rest is left blank.

Why use GPU?

Why would you want to do this? Because most of the code that is executed on CPU is not so useful, in terms of speed. Many CPU users use CPU acceleration to make code faster and easier, but that is not necessary, because CPU acceleration on Lazy Lion NFT will make your application faster. But more about that later.