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GPU_architecture_overview
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2013-09-04
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GPU Architecture Overview PPT, Author: John Owens & UC Davis
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GPU Architecture Overview
GPU Architecture Overview
John Owens
John Owens
UC Davis
UC Davis
The Right-Hand Turn
The Right-Hand Turn
[H&P Figure 1.1]
3
Why? [Architecture Reasons]
Why? [Architecture Reasons]
• ILP increasingly difficult to extract from
instruction stream
• Control hardware dominates µ processors
– Complex, difficult to build and verify
– Takes substantial fraction of die
– Scales poorly
• Pay for max throughput, sustain average throughput
• Quadratic dependency checking
– Control hardware doesn’t do any math!
• Intel Core Duo: 48 GFLOPS, ~10 GB/s
• NVIDIA G80: 330 GFLOPS, 80+ GB/s
4
AMD
AMD
“
“
Deerhound
Deerhound
”
”
(K8L)
(K8L)
chip-architect.com
5
Why? [Technology Reasons]
Why? [Technology Reasons]
• Industry moving from “instructions per
second” to “instructions per watt”
– “Power wall” now all-important
– Traditional µproc techniques are not power-efficient
• We can continue to put more transistors on
a chip …
– … but we can’t scale their voltage like we used to …
– … and we can’t clock them as fast …
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