Nvidia GeForce GTX 200 GPU Technical Brief Download Page 10

Based on traditional processing core designs that can perform integer and floating-
point math, memory operations, and logic operations, each processing core is a 
hardware-multithreaded processor with multiple pipeline stages that execute an 
instruction for each thread every clock.  
Various types of threads exist, including pixel, vertex, geometry, and compute. For 
graphics processing, threads execute a shader program and many related threads 
often simultaneously execute the same shader program for greater efficiency. 
All GeForce GTX 200 GPUs include a substantial portion of die area dedicated to 
processing, unlike CPUs where a majority of die area is dedicated to onboard cache 
memory. Rough estimates 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 latency and 
keeping their pipelines busy (high cache hit rates and efficient branch prediction). 

Graphics Processing Architecture 

As mentioned earlier, the GeForce GTX 200 GPUs include two different 
architectural personalities—graphics and computing. Figure 4 represents the 
GeForce 280 GTX in graphics mode. You can see the shader thread dispatch logic 
at the top, in addition to setup and raster units. The ten TPCs each include three 
SMs, and each SM has 24 processing cores for a total of 240 scalar processing cores. 
ROP (raster operations processors) and memory interface units are located at the 
bottom. 

 

Figure 4: GeForce GTX 280 GPU Graphics Processing Architecture 

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May, 2008  |  TB-04044-001_v01 

 

Summary of Contents for GeForce GTX 200 GPU

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

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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...

Page 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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