TERRORIST
13th July 2013, 12:49 AM
(GP-GPU)
TERRORIST
Hello iranian pioneers
This article is all about gpu processing and conventional gp processing
You can find mean basic instruction of GPU processing way on this
Hope it could be help you in future
The use of Graphics Processing Units for rendering is well known, but their power for general parallel computation has only recently been explored. Parallel algorithms running on GPUs can often achieve up to 100x speedup over similar CPU algorithms, with many existing applications for physics simulations, signal processing, financial modeling, neural networks, and countless other fields.
GPGPU Terminology
Arithmetic intensity
-Math operations per word transferred
-Computation / bandwidth
:Ideal apps to target GPGPU have
-Large data sets
-High parallelism
-Minimal dependencies between data elements
-High arithmetic intensity
-Lots of work to do without CPU intervention
Streams
-Collection of records requiring similar computation
.Vertex positions, Voxels, FEM cells, etc
-Provide data parallelism
Kernels
, …Functions applied to each element in stream transforms, PDE
-No dependencies between stream elements Encourage high Arithmetic Intensity
Gather
([-Indirect read from memory ( x = a[i
-Naturally maps to a texture fetch
-Used to access data structures and data streams
Scatter
(-Indirect write to memory ( a[i] = x
-:Difficult to emulate
. Render to vertex array
. Sorting buffer
-Needed for building many data structures
-Usually done on the CPU
.....
TERRORIST
Hello iranian pioneers
This article is all about gpu processing and conventional gp processing
You can find mean basic instruction of GPU processing way on this
Hope it could be help you in future
The use of Graphics Processing Units for rendering is well known, but their power for general parallel computation has only recently been explored. Parallel algorithms running on GPUs can often achieve up to 100x speedup over similar CPU algorithms, with many existing applications for physics simulations, signal processing, financial modeling, neural networks, and countless other fields.
GPGPU Terminology
Arithmetic intensity
-Math operations per word transferred
-Computation / bandwidth
:Ideal apps to target GPGPU have
-Large data sets
-High parallelism
-Minimal dependencies between data elements
-High arithmetic intensity
-Lots of work to do without CPU intervention
Streams
-Collection of records requiring similar computation
.Vertex positions, Voxels, FEM cells, etc
-Provide data parallelism
Kernels
, …Functions applied to each element in stream transforms, PDE
-No dependencies between stream elements Encourage high Arithmetic Intensity
Gather
([-Indirect read from memory ( x = a[i
-Naturally maps to a texture fetch
-Used to access data structures and data streams
Scatter
(-Indirect write to memory ( a[i] = x
-:Difficult to emulate
. Render to vertex array
. Sorting buffer
-Needed for building many data structures
-Usually done on the CPU
.....