Turing (microarchitecture)

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Turing
Nvidia@12nm@Turing@TU104@GeForce RTX 2080@S TAIWAN 1841A1 PKYN44.000 TU104-400-A1 DSCx3.jpg
LaunchedSeptember 20, 2018;6 years ago (2018-09-20)
Designed by Nvidia
Manufactured by
Fabrication processTSMC 12FFC
Codename(s)TU10x
TU11x
Product Series
Desktop
Professional/workstation
Server/datacenter
Specifications
Compute
  • 28.5 TFLOPS (FP16)
  • 14.2 TFLOPS (FP32)
[1]
L1 cache96 KB (per SM)
L2 cache2 MB to 6 MB
Memory support GDDR6
HBM2
PCIe support PCIe 3.0
Supported Graphics APIs
DirectX DirectX 12 Ultimate (Feature Level 12_2)
Direct3D Direct3D 12.0
Shader Model Shader Model 6.7
OpenCL OpenCL 3.0
OpenGL OpenGL 4.6
CUDA Compute Capability 7.5
Vulkan Vulkan 1.3
Media Engine
Encode codecs
Decode codecs
Color bit-depth
  • 8-bit
  • 10-bit
Encoder(s) supported NVENC
Display outputs
History
Predecessor Pascal
Variant Volta (datacenter/HPC)
Successor Ampere

Turing is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia. It is named after the prominent mathematician and computer scientist Alan Turing. The architecture was first introduced in August 2018 at SIGGRAPH 2018 in the workstation-oriented Quadro RTX cards, [2] and one week later at Gamescom in consumer GeForce 20 series graphics cards. [3] Building on the preliminary work of Volta, its HPC-exclusive predecessor, the Turing architecture introduces the first consumer products capable of real-time ray tracing, a longstanding goal of the computer graphics industry. Key elements include dedicated artificial intelligence processors ("Tensor cores") and dedicated ray tracing processors ("RT cores"). Turing leverages DXR, OptiX, and Vulkan for access to ray tracing. In February 2019, Nvidia released the GeForce 16 series GPUs, which utilizes the new Turing design but lacks the RT and Tensor cores.

Contents

Turing is manufactured using TSMC's 12 nm FinFET semiconductor fabrication process. The high-end TU102 GPU includes 18.6 billion transistors fabricated using this process. [1] Turing also uses GDDR6 memory from Samsung Electronics, and previously Micron Technology.

Details

Die shot of the TU104 GPU used in RTX 2080 cards Nvidia@12nm@Turing@TU104@GeForce RTX 2080@S TAIWAN 1841A1 PKYN44.000 TU104-400-A1 DSCx7 poly@5xExt.jpg
Die shot of the TU104 GPU used in RTX 2080 cards
Die shot of the TU106 GPU used in RTX 2060 cards Nvidia@12nm@Turing@TU106@GeForce RTX 2060@S TAIWAN 1844A1 PM4F79.000 TU106-200A-KA-A1 DSCx5 poly@5xExt.jpg
Die shot of the TU106 GPU used in RTX 2060 cards
Die shot of the TU116 GPU used in GTX 1660 cards Nvidia@12nm@Turing@TU116@GeForce GTX 1660@S TAIWAN 1941A1 PPHV26.000 TU116-300-A1 DSCx5 poly@5xExt.jpg
Die shot of the TU116 GPU used in GTX 1660 cards

The Turing microarchitecture combines multiple types of specialized processor core, and enables an implementation of limited real-time ray tracing. [4] This is accelerated by the use of new RT (ray-tracing) cores, which are designed to process quadtrees and spherical hierarchies, and speed up collision tests with individual triangles.

Features in Turing:

The GDDR6 memory is produced by Samsung Electronics for the Quadro RTX series. [6] The RTX 20 series initially launched with Micron memory chips, before switching to Samsung chips by November 2018. [7]

Rasterization

Nvidia reported rasterization (CUDA) performance gains for existing titles of approximately 30–50% over the previous generation. [8] [9]

Ray-tracing

The ray-tracing performed by the RT cores can be used to produce reflections, refractions and shadows, replacing traditional raster techniques such as cube maps and depth maps. Instead of replacing rasterization entirely, however, the information gathered from ray-tracing can be used to augment the shading with information that is much more photo-realistic, especially in regards to off-camera action. Nvidia said the ray-tracing performance increased about 8 times over the previous consumer architecture, Pascal.

Tensor cores

Generation of the final image is further accelerated by the Tensor cores, which are used to fill in the blanks in a partially rendered image, a technique known as de-noising. The Tensor cores perform the result of deep learning to codify how to, for example, increase the resolution of images generated by a specific application or game. In the Tensor cores' primary usage, a problem to be solved is analyzed on a supercomputer, which is taught by example what results are desired, and the supercomputer determines a method to use to achieve those results, which is then done with the consumer's Tensor cores. These methods are delivered via driver updates to consumers. [8] The supercomputer uses a large number of Tensor cores itself.

Turing dies

Comparison of Turing dies
DieTU102 [10] TU104 [11] TU106 [12] TU116 [13] TU117 [14]
Die size754 mm2545 mm2445 mm2284 mm2200 mm2
Transistors18.6B13.6B10.8B6.6B4.7B
Transistor density24.7 MTr/mm225.0 MTr/mm224.3 MTr/mm223.2 MTr/mm223.5 MTr/mm2
Graphics processing
clusters		66332
Streaming
multiprocessors		7248362416
CUDA cores 46083072230415361024
Texture mapping units 2881921449664
Render output units 9664644832
Tensor cores 576384288—
RT cores 724836
L1 cache 6.75 MB4.5 MB3.375 MB2.25 MB1.5 MB
96 KB per SM
L2 cache6 MB4 MB4 MB1.5 MB1 MB

Development

Turing's development platform is called RTX. RTX ray-tracing features can be accessed using Microsoft's DXR, OptiX, as well using Vulkan extensions (the last one being also available on Linux drivers). [15] It includes access to AI-accelerated features through NGX. The Mesh Shader, Shading Rate Image functionalities are accessible using DirectX 12, Vulkan and OpenGL extensions on Windows and Linux platforms. [16]

Windows 10 October 2018 update includes the public release of DirectX Raytracing. [17] [18]

Products using Turing

See also

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References

  1. 1 2 "Nvidia Turing GPU Architecture: Graphics Reinvented" (PDF). Nvidia. 2018. Retrieved June 28, 2019.
  2. ↑ Smith, Ryan (August 13, 2018). "NVIDIA Reveals Next-Gen Turing GPU Architecture: NVIDIA Doubles-Down on Ray Tracing, GDDR6, & More". AnandTech. Retrieved April 9, 2023.
  3. ↑ Smith, Ryan (August 20, 2018). "NVIDIA Announces the GeForce RTX 20 Series: RTX 2080 Ti & 2080 on Sept. 20th, RTX 2070 in October". AnandTech. Retrieved April 9, 2023.
  4. ↑ Warren, Tom (August 20, 2018). "Nvidia announces RTX 2000 GPU series with '6 times more performance' and ray-tracing". The Verge. Retrieved August 20, 2018.
  5. ↑ Oh, Nate (September 14, 2018). "The NVIDIA Turing GPU Architecture Deep Dive: Prelude to GeForce RTX". AnandTech. Retrieved April 9, 2023.
  6. ↑ Mujtaba, Hassan (August 14, 2018). "Samsung GDDR6 Memory Powers NVIDIA's Turing GPU Based Quadro RTX Cards". Wccftech. Retrieved April 9, 2023.
  7. ↑ Maislinger, Florian (November 21, 2018). "Faulty RTX 2080 Ti: Nvidia switches from Micron to Samsung for GDDR6 memory". PC Builder's Club. Retrieved July 15, 2019.
  8. 1 2 "#BeForTheGame". Twitch.
  9. ↑ Fisher, Jeff (August 20, 2018). "GeForce RTX Propels PC Gaming's Golden Age with Real-Time Ray Tracing". Nvidia. Retrieved April 9, 2023.
  10. ↑ "NVIDIA TU102 GPU Specs". TechPowerUp.
  11. ↑ "NVIDIA TU104 GPU Specs". TechPowerUp.
  12. ↑ "NVIDIA TU106 GPU Specs". TechPowerUp.
  13. ↑ "NVIDIA TU116 GPU Specs". TechPowerUp.
  14. ↑ "NVIDIA TU117 GPU Specs". TechPowerUp.
  15. ↑ "NVIDIA RTX platform". Nvidia. July 20, 2018. Retrieved April 9, 2023.
  16. ↑ "Turing Extensions for Vulkan and OpenGL". Nvidia. September 11, 2018. Retrieved April 9, 2023.
  17. ↑ Pelletier, Sean (October 2, 2018). "Windows 10 October 2018 Update a Catalyst for Ray-Traced Games". Nvidia. Retrieved April 9, 2023.
  18. ↑ van Rhyn, Jacques (October 2, 2018). "DirectX Raytracing and the Windows 10 October 2018 Update". Microsoft. Retrieved April 9, 2023.
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