Profile

Cover photo
Devendra Walanj
Attended Now where I went ...... that was enjoyable ......
30 followers|10,071 views
AboutPostsPhotosVideos

Stream

Devendra Walanj

Shared publicly  - 
 
Germany 🔪🔪🔪🔪🔪🔪ed Brazil
For germany Its like now you, now you do the goal
Its like Tiago Silva out, no defence
Neymar out, no attack

It was Blitzkrieg with precision ......
1
Add a comment...
 
Why why why ....... I want to see the SOCCER MATCH ..... but cannot as everyone is asleep ....
1
Add a comment...

Devendra Walanj

Shared publicly  - 
 #TV
 
So big that I can watch 20 channels at a time ..... Coooolll. Just where to set it
1
Add a comment...

Devendra Walanj

Shared publicly  - 
 
AMD has the full potentials to surpass ... They just need a little push
 
Debian/UBUNTU™ 14.04 GNU/Linux now becoming GPU accelerated!

Behind the scenes, there are a bunch of highly sophisticated programmers working on GPU acceleration for Linux kernel. Originally intended for OpenGL graphics acceleration (even DirectX is based on OpenGL hardware acceleration!), the subprocessors now have become general purpose subprocessors, called GPGPU s. Being 'turing complete', you can run a subset of GNU ANSI/ISO C99 standard on them. Subset means: No recursion, no cast operator, fixed array size, no pointer to function .

This has to do with GPU design. Part of the Linux kernel itself are now 'GPU subkernels, CU (compute units)'. These are split: One part of the GPU subkernel, loaded as Linux GPU module running x86 or x64 machine code on the CPU, is able to exchange data with GPU over a 'defined window', a reserved memory address segment. Another memory address segment is for shuffling program data for execution into the GPU RAM.

The second part of the GPU subkernel runs on GPU itself. GPUs typically are implemented in ASIC hardware (free programmable CPUs). The GPU itself then also is able to shuffle calculated data back into CPU memory, without help of CPU.

The subprocessors in the GPU are divided up into groups with each 256KByte RAM. Within a group, the subprocessors (CU compute units) may exchange data. Their number varies. Between groups, by hardware design, exchange of data is not possible. The only way is to shuffle data back into CPU memory and back again into another group on GPU.

So, since shuffling data around between memory is expensive, you have to plan carefully, if you want the GPU support the CPU in the most efficient way.

The extremely cheap AMD Kaveri processor has 512 subprocessors (CU compute units) onchip, which Linux kernel itself now may directly use to accelerate certain operations. These may not be for graphical purposes only, though graphic transformations (blur, despecle,...) are well suited tasks for GPU acceleration.

The very old and well known ImageMagick command line tool now is the first one, which directly profits from GPU subprocessors. Accelerated now run following functions, which formerly were part of the standard GNU libraries, which came unaccelerated with every Linux distribution. Now these libs, once recompiled, run with GPU acceleration. Following functions now are being ported:

blur charcoal contrast constrast-stretch convolve despeckle
edge equalize emboss function gaussian-blur grayscale
modulate motion-blur negate noise radial-blur resize sketch unsharp

These operations are now executed on GPU subkernels within the Linux kernel itself, no longer on CPU!

Since most graphic toolkits (GIMP, Blender 3D, PITIVI video cutting) use ImageMagick libraries, they now are indirectly using GPU. All you will notice, is just a dramatic increase of speed! As Debian/UBUNTU™ GNU/Linux user, you don't have to care about implementation.

AMD Kaveri processors, on contrary to INTEL core i3/5/7 XEON processors, till now - are not well known for speed, though they stick in both - XBOX ONE and PS 4. For a good reason: Only being programmed correctly, the AMD APU (AMD calls their onchip GPU 'APU') delivers 800-900 GIGAFLOPS, means almost a trillion operations per second, leaving everything, INTEL has to offer, in the dust. And this at prices below $100! (Note: Graphics 3D "card" being onchip included!)

Now to the toolkits: The ANSI/ISO C99 subset compiler suite follows IEEE 754 floating point standard. LibreOffice calc, now not only is able to run extremly large EXCEL sheets, no, it has become 7-8 times faster, than on quad core CPU alone. PostgreSQL 'native' bindings included, just recompile LibreOffice 4.2. Performance of graphics/VIDEO acceleration varies, expect your machine becoming factor 20-30 faster, than with quad core CPU only.

NVIDIA ANSI/ISO C99 GPU compiler suite is named CUDA. Both architectures, AMD/ATI APU and NVIDIA™ now have become very similar. Beginning with new TEGRA™ 4/ARM processor with just 72 GPGPU (General Purpose GPU) subprocessors, you now can use the same GNU C99 compiler suite for NVIDIA FERMI/TESLA/MAXWELL high end processors. The core differences between these two architectures are: First - both have different machine code instruction sets and second - AMD GPUs / APUs can do double precision floating point directly, NVIDIA single precision only, double has to be emulated.

Since a new, revolutionary technology must have a name, the archItecture is simply called "OpenCL". For more about ImageMagick OpenCL, read:

http://www.imagemagick.org/script/opencl.php or watch these videos:

OpenCL optimizations on ImageMagick Convert, Edit…: http://youtu.be/0IVB3KZWfFY or

AMD Kaveri Review | Techdemos | HEVC, Dirt Showdo…: http://youtu.be/bZzcPWH4C8A (sorry german only, just watch! B.t.w. AMD Kaveri is made in germany...) or a series of ATI (now AMD) videos:

ATI Stream OpenCL™ Technical Overview [Part 1] - …: http://youtu.be/ecYIsu83c0I

Have fun!
1
Add a comment...

Devendra Walanj

Shared publicly  - 
 
Scientific American Reader: A Cassava Revolution Could Feed the World’s Hungry. http://google.com/newsstand/s/CBIwqZuWnBo
1
Add a comment...
Have him in circles
30 people
sushant Yattam's profile photo
Ketan Khatu's profile photo
Sushant Anaokar's profile photo
Vikas Prabhu's profile photo

Devendra Walanj

Shared publicly  - 
 
5 Stupid Things Movies Believe About Hacking:

1
Add a comment...

Devendra Walanj

Shared publicly  - 
 
Ha ha ha
 
Pythagorean Theorem in action

Normally, the Pythagorean theorem sounds like: The sum of the areas of the two squares on the legs (a and b) equals the area of the square on the hypotenuse.

Demonstration below shows that through volumes: the sum of the volumes of the two parallelepipeds on the legs (a and b) equals the volume of the parallelepiped on the hypotenuse.
1
Add a comment...
 
Ha ha ha ... Ya why the change from the first book
1
Add a comment...
 
Oh! Cool now we have some brand options too.
1
Add a comment...

Devendra Walanj

Shared publicly  - 
1
Add a comment...
People
Have him in circles
30 people
sushant Yattam's profile photo
Ketan Khatu's profile photo
Sushant Anaokar's profile photo
Vikas Prabhu's profile photo
Work
Occupation
Developer / Consultant
Employment
  • Sr. Consultant / Developer
Basic Information
Gender
Male
Story
Tagline
A Wise person can learn from a stupid question but a stupid person never learns from a wise answer.
Education
  • Now where I went ...... that was enjoyable ......
Links
Other profiles
Contributor to