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Summary 

NVIDIA’s second generation unified visual computing architecture as embodied in 
the new GeForce GTX 200 GPUs is a significant evolution over the original unified 
architecture of GeForce 8 and 9 series GPUs. Numerous extensions and functional 
enhancements to the architecture permit a performance increase averaging 1.5× the 
prior architecture. Improvements in sheer processing power combined with 
improved architectural efficiency allow amazing speedups in gaming, visual 
computing, and high-end computation.  
Compared to earlier GPUs such as GeForce 8800 GTX, the GeForce GTX 280 
provides: 

‰

 

1.88× more processing cores 

‰

 

2.5× more threads per chip 

‰

 

Doubled register file size 

‰

 

Double-precision floating-point support 

‰

 

Much faster geometry shading 

‰

 

1 GB frame buffer with 512-bit memory interface 

‰

 

More efficient instruction scheduling and instruction issue 

‰

 

Higher clocked and more efficient frame buffer 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 result in enough graphics and compute power to deliver the most intensive 
and extreme 3D gaming experiences and teraflop performance for demanding high-
end compute-intensive applications.  
NVIDIA SLI technology is taken to new levels with GeForce GTX 200 GPUs and 
NVIDIA PhysX technology will add amazing new graphical effects to upcoming 
game titles. CUDA applications will benefit from additional cores, far more threads, 
double-precision math, and increased register file size.  
Wise users purchasing new systems will conduct performance analyses to optimize 
their PC architecture. They will find that a lower-end CPU paired with a higher-end 
GPU produces more performance than the reverse and for the same price. This 
heterogeneous computing using the right processors for the right tasks and 
designing optimized PCs to take advantage of it is the wave of the future. 
 
 
 

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May, 2008  |  TB-04044-001_v01 

 

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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