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GeForce GTX 200 GPU Architecture 

GeForce GTX 200 GPUs are the first to implement NVIDIA’s second-generation 
unified shader and compute architecture. The GeForce GTX 200 GPUs include 
significantly enhanced features and deliver, on average, 1.5× the performance of 
GeForce 8 or 9 Series GPUs.  
Manufactured using TSMC’s 65 nm fabrication process, GeForce GTX 200 GPUs 
include 1.4 billion transistors and are the largest, most powerful, and most complex 
GPU ever made. All GTX 200 GPUs are built to operate comfortably within the 
power and heat specifications of high-end PCs. 
You may recall that the first-generation NVIDIA unified visual computing 
architecture in GeForce 8 and 9 Series GPUs was based on a Scalable Processor 
Array (SPA) framework. The second-generation architecture in GeForce GTX 200 
GPUs is based on a reengineered, enhanced, and extended SPA architecture.  
The SPA architecture consists of a number of TPCs, which stands for “Texture 
Processing Clusters” in graphics processing mode, and “Thread Processing 
Clusters” in parallel compute mode. Each TPC is in turn made up of a number of 
streaming multiprocessors (SMs), and each SM contains eight processor cores (also 
called streaming processors (SPs) or thread processors). Every SM also includes 
texture filtering processors used in graphics processing, but also useful for various 
filtering operations in compute mode, such as filtering images as they are zoomed in 
and out. 

More Processor Cores 

The new second-generation SPA architecture in the GeForce GTX 280 improves 
performance compared to the prior generation G80 and G92 designs on two levels. 
First, it increases the number of SMs per TPC from two to three. Second, it 
increases the maximum number of TPCs per chip from 8 to 10. The effect is 
multiplicative, resulting in 240 processor cores. 

Chip 

TPCs 

SMs per 

TPC 

SPs per SM 

Total SPs 

GeForce 8 & 9 
Series 

8 2  8  128 

GeForce GTX 
200 GPUs 

10 3  8  240 

Table 1: Number of GPU Processing Cores 

 

 

 

May 2008  |  TB-04044-001_v01 

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Содержание GeForce GTX 200 GPU

Страница 1: ...Technical Brief NVIDIA GeForce GTX 200 GPU Architectural Overview Second Generation Unified GPU Architecture for Visual Computing...

Страница 2: ...Processing Architecture 10 Parallel Computing Architecture 12 SIMT Architecture 13 Greater Number of Threads in Flight 13 Larger Register File 14 Improved Dual Issue 15 Double Precision Support 15 Im...

Страница 3: ...ure 10 Figure 5 GeForce GTX 280 GPU Parallel Computing Architecture 12 Figure 6 TPC Thread Processing Cluster 13 Figure 7 Local Register File 2 versus 1 14 Figure 8 Geometry Shading Performance 17 Tab...

Страница 4: ...perience We ll begin by describing architectural design goals and key features and then dive into the technical implementation of the GeForce GTX 200 GPUs We assume you have a basic understanding of f...

Страница 5: ...e natural character motion and very accurate and convincing physics effects The GeForce GTX 200 GPUs are designed to be fully compliant with Microsoft DirectX 10 and Open GL 2 1 Architectural Design G...

Страница 6: ...luding Convincing facial and character animation Multiple ultra high polygon characters in complex environments Advanced volumetric effects smoke fog mist etc Fluid and cloth simulation Fully simulate...

Страница 7: ...it color output Gaming Beyond SLI NVIDIA s SLI technology is the industry s leading multi GPU technology giving you an easy low cost high impact performance upgrade PC gaming simply doesn t get any fa...

Страница 8: ...coding application from Elemental and various video and photo editing applications Many engineering scientific medical and financial areas demand high performance computational horsepower for numerous...

Страница 9: ...ure consists of a number of TPCs which stands for Texture Processing Clusters in graphics processing mode and Thread Processing Clusters in parallel compute mode Each TPC is in turn made up of a numbe...

Страница 10: ...imates show 20 of the transistors of a CPU are dedicated to computation compared to 80 of GPU transistors GPU processing is centered on computation and throughput where CPUs focus heavily on reducing...

Страница 11: ...heoretical performance limits than could prior generations Table 2 compares the GeForce 8800 GTX to the new GeForce GTX 280 GPU You will notice sizable increases in a number of important measurable pa...

Страница 12: ...perform atomic read modify write operations to memory Atomic access provides granular access to memory locations and facilitates parallel reductions and parallel data structure management Figure 5 Ge...

Страница 13: ...utilized at all times From the programmer s perspective SIMT also allows each thread to take on its own path Since branching is handled by the hardware there is no need to manually manage branching wi...

Страница 14: ...Series GPUs The older GPUs could run into situations with long shaders where registers would be exhausted generating the need to swap to memory A much larger register file permits larger and more comp...

Страница 15: ...EE 754R floating point specification compliant The overall double precision performance of all 10 TPCs of a GeForce GTX 280 GPU is roughly equivalent to an eight core Xeon CPU yielding up to 78 gigafl...

Страница 16: ...ng quality The new GeForce GTX 200 GPU ROP subsystem supports all of the previous generation features and delivers a maximum of 32 pixels per clock output equating to 4 pixels clock per ROP partition...

Страница 17: ...cantly faster than prior generation NVIDIA GPUs and competitive products Geometry Shader Performance Rightmark 3D 2 0 Hyperlight Heavy http www ixbt com video itogi video ini rmdx10 rar 0 100 200 300...

Страница 18: ...iver can seamlessly switch between the power modes based on utilization of the GPU Each of the new GeForce GTX 200 GPUs integrates utilization monitors digital watchdogs that constantly check the amou...

Страница 19: ...age Setup rates are similar to prior generation supporting up to one primitive per clock Z Culling performance has also been improved especially at high resolutions Early Z rejection rates have been i...

Страница 20: ...uffer memory access Improvements in on chip communications between various units Improved Z cull and compression supporting higher performance at high resolutions and 10 bit color support These all re...

Страница 21: ...ed number of pixel processing units and a fixed number of vertex processing units This same unified architecture provided the framework for efficient high end computation using NVIDIA CUDA software te...

Страница 22: ...CPUs and GeForce 8800 GTS 512 were run on Asus P5K V motherboard Intel G33 based with 2 GB DDR2 system memory Based on an extrapolation of 1 min 50 sec 1280 720 high definition movie clip 4 http devel...

Страница 23: ...hat may result from its use No license is granted by implication or otherwise under any patent or patent rights of NVIDIA Corporation Specifications mentioned in this publication are subject to change...

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