hey MIPS no tiene nada que ver con la interface de memorias, sino que con la capacidad de procesamiento en el nucleo (CPU/GPU) 
http://es.wikipedia.org/wiki/MIPS
Los mips estan directamente relacionados con el registro de los procesadores. Los procesadores gráficos de hoy son de 128 y 256 bits. No me referia a las memorias.
"Both nVidia and ATI have teamed with Stanford University to create a GPU-based client for the Folding@Home distributed computing project, for protein folding calculations. In certain circumstances the GPU calculates forty times faster than the conventional CPUs traditionally used by such applications."
Computational functions
Modern GPUs use most of their transistors to perform calculations related to 3D computer graphics. They were initially used to accelerate the memory-intensive work of texture mapping and rendering polygons, later adding units to accelerate geometric calculations such as the rotation and translation of vertices into different coordinate systems. Recent developments in GPUs include support for programmable shaders which can manipulate vertices and textures with many of the same operations supported by CPUs, oversampling and interpolation techniques to reduce aliasing, and very high-precision color spaces. Because most of these computations involve matrix and vector operations, engineers and scientists have increasingly studied the use of GPUs for non-graphical calculations.Una GPU puede ser hasta 40 veces mas rápida que un procesador convencional en punto flotante y operaciones de vectorización...
Fuente:
http://en.wikipedia....PUs_.28GPGPU.29La interface de memoria de los i7 y i5 como los phenom II son de 64 bits, las gpus mas modernas la tienen de 256 bits...
Let’s plug some numbers to these definitions:
* GeForce GTS 250: 16 compute units. The GTS 250 has 128 scalar processors then each compute unit has 8 OpenCL processing elements (128 / 16).
* GeForce GTX 280: 30 compute units. The GTX 280 has 240 scalar processors then each compute unit has 8 OpenCL processing elements (240 / 30).
* Radeon HD 5770: 10 compute units. We know a HD 5770 has 160 vec5 processors. 160 vec5 processors are equivalent to 800 scalar processors. Each compute unit has then 80 OpenCL processing elements (800 / 10).
* Radeon HD 5870: 20 compute units. We know a HD 5870 has 320 vec5 processors. 320 vec5 processors are equivalent to 1600 scalar processors. Each compute unit has then 80 OpenCL processing elements (1600 / 20).
* Radeon HD 5670: 5 compute units (or 5 SIMD engines). From here, we know a HD 5670 has 400 stream processors: 400 / 5 = 80 OpenCL processing elements.
A compute unit of a Radeon HD 5000 series has 80 processing elements (16 processing cores with 5 ALUs per processing core) and a compute unit of a GeForce has 8 processing elements.
Programming an OpenCL application is like programming an OpenGL app, you need OpenCL headers files (few files), OpenCL.lib and OpenCL.dll. OpenCL.dll is provided by NVIDIA or AMD with their drivers. Where can you find OpenCL samples? NVIDIA, AMD and Apple have their own SDK with several samples.
To retrieve the OpenCL API support of your platform (like number of compute units or OpenCL extensions), just use the OpenCL tab of GPU Caps Viewer:Fuente:
http://www.geeks3d.c...cl-test-part-1/Bueno, en realidad en los cpus los parámetros son distintos que en los gpus, pero basicamente son lo mismo enfocado a diferentes cosas y potenciado en diferentes aspectos.
Summary:
1. CPU is the brain of the computer the GPU is only meant to complement it.
2. GPUs are specialized and cannot replace the function of a CPU.
3. CPUs can perform the functions of a GPU but at a much slower speed.
4. GPUs can rival CPUs in transistor count.
5. GPUs can also work in tandem just like the CPU’s multi core capability.
Read more: Difference Between CPU and GPU | Difference Between | CPU vs GPU
http://www.differenc.../#ixzz124BM4yt2Fuente:
http://www.differenc...en-cpu-and-gpu/Hoy en día los GPU tienen mas transistores que una CPU.
PD: Bajense el GPU-z
http://www.techpowerup.com/downloads/SysInfo/GPU-Z/
Este tema ha sido editado por striker_gt: 11 October 2010 - 12:22 PM
