Tuesday, June 18, 2019

Vulkan Kernel - Windows - Linux - Android - Apple

The Vulkan Kernel - Windows - Linux - Android - Apple


References to VULKAN can be replaced or supplemented with Metal (Mac OS) & Direct X

All driver parameters are set according to the Vulkan principle with hardware and AVX & Float versioning...

Under the level 2 kernel api calls, Direct messages to the driver modules in Vulkan compatible script, The kernel is fittingly representing the screen resolution though mode & VESA Standard 2D & 3D instructions..

Mode query will one proposes include Vulkan API call queries to all compatible devices..
For this purpose the api will call an ID on the device for driver model/Version.

Once the VESA & Vulkan standards are found; Mode setting can be carried out by the OS,
However the Open CL & GL functions for screen settings can be used pure.

Depending on space in the bios uefi the calls may have already been made to call the screen optimum into being, Bios calls can reference hardware, IO, DMA & Memory/Feature Sets,
Such settings are equivalent to environmental flags (Set).

Pure Vulkan kernel calls in Kernel speed up the process & lower RAM usage,
Possibly increase security (ideally)

Ultra High Definition Colour : 


Video Colour definition smoothing & Optimisation with sharp edge HDR Contrast Adaptation.
Dynamic colour remap & Optimisation,
Wide path 8 512Bit,256Bit,128Bit,96Bit 8; 16Bit per channel into & from 10Bit per channel & 8Bit Per channel ..
With dynamic hardware accelerated Colour translation & super dithering with AA in transparent ranges, LOD Translation in vectored 3D though FPU/GPU/AVX/SiMD.


VR-VMP-3D - Vector tables/SIMD/RayTracing/High Precision Float:

We can use CPU & GPU MipMap & Tessellation  RiS with micro smoothing predictive tessellation with map fonts, We can also do colour maps and lut conversion for dynamic contrast & Sound for the Realtek Audio codec! We can do this for video also...

Light/Shade & Colour HDR Mapping & Polymorphic HDR 3D Sound; Texture emulation of feel, 
Touch and sensation/Sound though Direct Compute Shaders & poly numeric maths.

Haptic 3D feeling/Sensation/Visuals/Sound & Audio for JS/script & code/Open CL/Direct Compute for 3D/Video/Internet HPC.

Sensational Virtual 3D Web/Video/Classic Video/Games/Audio/Fonts with haptic sensation and touch! 
All new JS ML code to make true sensation : real feels for emotional highs as you chat,

tip or cam your game experience & do research high performance compute.

Kernel plans are to improve OS + Kernel integration for Bios MK3/4:

"GPU/CPU Float capacity; May well be far more of worth than we have as yet anticipated.

SiMD <> Float conversion makes practical the evolution of super functional dynamic capacity,
In the CPU/GPU/Processor market..
Integer <> Float conversion; Covers the rest of our needs for precision enhancement.

(c)RS" 

****

Thought it best to let CPU/GPU Creators get there thoughts around the latest development that would improve the OS & bios..Making improvements in interaction that improve latency issues and ram usage in conditions such as HPC,

High performance computing requires low latency & reliable OS function with a whole lot less ram leaks & CPU clock cycle usage..Particularly in the case of GPU usage in kernel load; For example in linux or phone (Android for example or ios)

Development of low tick dynamic kernel integrated GPU functions in the same manner as chrome integrates function on the fly,Chrome is quite impressive in this light; As also are the OpenGLES applications..

Core functions are the most worthy of optimization & obviously we require the best work to be done on shared resources ..Resources shared across core functions like Float and AVX/SiMD.

Integrating core AVX or Vector function of provident use & optimization; Are surely of most use to GPU Manufacturers 

..Interested in pipelined Pixle/SiMD instruction pipelines for Tessellation or other core non floating,

Instruction...Integrating float conversion so that SiMD can be carried out converted into Majority GPU/CPU Float capacity; May well be far more of worth than we have as yet anticipated.

SiMD <> Float conversion makes practical the evolution of super functional dynamic capacity,
In the CPU/GPU/Processor market..
Integer <> Float conversion; Covers the rest of our needs for precision enhancement.

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