98 NVIDIA GeForce 8800GTX Review

It is here! The first DirectX 10 Graphics Card, the NVIDIA
GeForce 8800GTX! The GeForce 8800 GTX GPU implements a massively parallel, unified
shader design, consisting of 128 individual stream processors running at 1.35
GHz. Being Unified in Shaders, each processor is capable of being dynamically allocated to vertex, pixel,
geometry, or physics operations. We take a thorough look at the architecture, performance, overclocking and image quality of this powerhouse!

It is here! The first DirectX 10 Graphics Card, the NVIDIA
GeForce 8800GTX!

28 NVIDIA GeForce 8800GTX Review

We take a more indepth look at the new architecture of the
G80 GPU powering this long and black card.

The GeForce 8800 GTX GPU implements a massively parallel, unified
shader design, consisting of 128 individual stream processors running at 1.35
GHz. Each processor is capable of being dynamically allocated to vertex, pixel,
geometry, or physics operations for the utmost efficiency in GPU resource allocation,
and maximum flexibility in load balancing shader programs. Efficient power utilization
and management delivers industry leading performance per watt and performance
per square millimeter.

12 NVIDIA GeForce 8800GTX Review

The green units are actually scalar stream processors (SPs),
128 of them in total. The key to GeForce 8800 architecture is the use of numerous
scalar stream processors (SPs) to perform shader operations. Stream processors
are highly efficient computing engines that perform calculations on an input
stream, while producing an output stream that can be used by other stream processors.
Stream processors can be grouped in close proximity, and in large numbers, to
provide immense parallel processing power. Generally, specialized high-speed
instruction decode and execution logic is built into a stream processor, and
similar operations are performed on the different elements of a data stream.
On-chip memory is typically used to store output of a stream processor, and
the memory can be quickly read as input by other stream processors for subsequent
processing. SIMD (single instruction/multiple data) instructions can be implemented
across groupings of stream processors in an efficient manner, and massively
parallel stream processor clusters are well-suited for processing graphics data
streams.

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