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Appendix A: Retrospective 

 
Over the past decade, NVIDIA’s graphics processing units (GPUs) have evolved 
from specialized, fixed-function 3D graphics processors to highly programmable, 
massively multithreaded, parallel-processing architectures used for visual computing 
and high-performance computation.  
NVIDIA GeForce GPUs enable incredibly realistic 3D gaming and outstanding 
high-definition video playback, while NVIDIA Quadro

®

 GPUs provide the highest 

quality and fastest workstation graphics for professional design and creation. For 
high-performance computing tasks in various engineering, scientific, medical, and 
financial fields, NVIDIA’s new Tesla

 GPUs and CUDA parallel programming 

environment enable supercomputing-level performance on the desktop, at a fraction 
of the cost of comparably performing CPU-based multiprocessor clusters. 
The GeForce 8800 GPU was launched in November 2006. It was the world’s first 
DirectX 10 GPU with a unified shader architecture. This was important as each of 
the unified shader processing cores could be dynamically allocated to vertex, pixel, 
and geometry workloads, making it far more efficient than prior-generation GPUs, 
which used a fixed 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 technology. 
The GeForce 9 Series GPUs were introduced in 2007, offering a vastly improved 
price-performance ratio and advanced PureVideo

®

 features. Its smaller chip allowed 

dual-GPU GeForce 9800 GX2 graphics boards to be built more efficiently, while 
offering up to twice the performance of the GeForce 8800 GTX.  
As of May 2008, over 70 million NVIDIA GeForce 8 and 9 Series GPUs have 
shipped and each supports CUDA technology, allowing greatly accelerated 
performance for mainstream visual computing applications like audio and video 
encoding and transcoding, image processing, and photo editing. These GPUs also 
support the new NVIDIA PhysX technology for enabling real-time physics in 
games. 
GPUs are the most important and most powerful processors in the new era of 
visual computing. High-end GeForce GTX 200 GPUs provide the best user 
experience when running intensive DirectX 10-based games like 

Crysis

 at high 

quality and high resolution settings. Very capable motherboard and mid-range 
GPUs are also needed for stutter-free, high-definition video playback on the PC 
while simultaneously displaying the Aero 3D user interface of Windows Vista. 
 

 

 

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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