2017年3月22日 (三) 16:46的版本

1 Overview

The GPU architecture is built around a scalable array of Streaming Multiprocessors (SM)

The key components of a SM:

• CUDA cores (ALU + FPU)
• Double Precision Units (DPU)
• Special Function Units (SPU)
• Load/Store Units (LD/ST)

• Register File
• Shared Memory/L1 Cache

• Warp Scheduler

2 Fermi Micro Architecture

The Fermi architecture was the first complete GPU computing architecture to deliver the features required for the most demanding HPC applications.

• 1 CUDA core: 1 ALU + 1 FPU
• 1 SM: 32 CUDA cores + 16 Load/Store Unit + 4 SPU + 2 Warp Scheduler
• 1 SM: 2 Warps
• 1 Warp: 16 CUDA cores + 16 Load/Store Unit(shared) + 4 SPU(shared) + [32 threads context ?]
• Handle 48 warps per SM for a total of 1536 (48x32) threads resident in a single SM at a time [48 Warps context ?]
• Register file is 32KB

GTX480:

• 15 SM (32 CUDA cores/SM)
• 480 CUDA cores
• 1345 GFLOPs
• 40 nm
• 3.2 billion transistors
• GTX480 250Watts

2.1 Fermi Cards

2.1.1 GeForce 400 Series

• Release date: April 12, 2010
• Codename: GF10x
• Architecture: Fermi

• Models:

1. GeForce Series
2. GeForce GT Series
3. GeForce GTS Series
4. GeForce GTX Series

• Fabrication process and transistors:

1. 260M 40nm (GT218)
2. 585M 40 nm (GF108)
3. 1.170M 40 nm (GF106)
4. 1.950M 40 nm (GF104)
5. 1.950M 40 nm (GF114)
6. 3.200M 40 nm (GF100)

• Cards:

1. Entry-level GT420 GT430
2. Mid-range GT440 GTS450 GTX460
3. High-end GTX465 GTX470
4. Enthusiast GTX480 (2010.3, 3.2 billion Transistors, 15 SMs, 1536MB, 1345 GFLOPS, 250W)

2.1.2 GeForce 500 Series

• Release date: 8 November 2010
• Codename: GF11x
• Architecture: Fermi

• Models:

1. GeForce Series
2. GeForce GT Series
3. GeForce GTX Series

• Fabrication process and transistors:

1. 292M 40nm (GF119)
2. 585M 40 nm (GF108)
3. 1.170M 40 nm (GF116)
4. 1.950M 40 nm (GF114)
5. 3.000M 40 nm (GF110)

• Cards:

1. Entry-level 510 GT520 GT530
2. Mid-range GT545 GTX550Ti GTX560 GTX560Ti
3. High-end GTX570 GTX580 GTX590(2011.3, 2x3 billion transistors, 32 SMs, 2x1536MB, 2488GFLOPS, 365W)

3 Kepler Micro Architecture

Released in the fall of 2012

• 1 SM: 4 Warps Scheduler (2 instruction dispatchers per Warp)
• 1 Warp: [32 threads context ?]
• 1 SM: 192 CUDA cores + 64 DPU (shared) + 32 Load/Store Unit (shared) + 32 SPU (shared) + 4 Warp Scheduler

• Handle 64 warps/SM for a total of 2048 (64x32) threads resident in a single SM at a time [64 Warps context ?]
• Register file size is 64K

K20X:

• 14 SM
• 2688 CUDA cores, 6GB
• 3.935 TFLOPs / DPU: 1.312 TFLOPs
• 28 nm
• 235Watts

GTX690:

• 2x8 SM
• 3072 CUDA cores
• 2x2.8TFLOPs
• 2x3.54 billion transistors
• 300Watts (2012.4)

4 Maxwell Micro Architecture

GM204:

• 1 SM (SMM): 4 Warp Scheduler (2 instruction dispatchers per Warp)
• 1 Warp: 32 CUDA cores + 1 DPU + 8 Load/Store Units + 8 SPU

• 1 SM (SMM): 128 CUDA cores + 4 DPU + 32 Load/Store Units + 32 SPU

GTX980:

• 16 SM (SMM)
• 2048 CUDA cores
• 4612 GFLOPs / DPU: 144 GFLOPs
• 28 nm
• 5.2 billion transistors
• 165W

TITAN X:

5 Reference

• https://en.wikipedia.org/wiki/Fermi_(microarchitecture)
• https://en.wikipedia.org/wiki/GeForce_400_series
• https://en.wikipedia.org/wiki/GeForce_500_series

• https://en.wikipedia.org/wiki/GeForce_900_series

• https://en.wikipedia.org/wiki/GeForce_10_series

• https://en.wikipedia.org/wiki/Nvidia_Tesla