Evolution of the NVIDIA GPU Architecture

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Warp Scheduler∗ 4 warp schedulers∗ Each scheduler can issue up to 2 independentinstructions when it is ready to issue.16
Kepler Memory Architecture∗ Shared Memory and L1 are stillphysically shared∗ New configuration: 32K L1,32K Shared∗ Shared memory bandwidth isdoubled compared with Fermi∗ Increased the size of L2∗ Doubled the size Fermi,increasing it to 1536 KB∗ Introduction of Read‐OnlyCache∗ Previously, this was used inFermi for Texture cache∗ 48 KB of storage 17
Page 4: Graphics Pipeline
Page 8 and 9: Streaming Multiprocessor Architectu
Page 10 and 11: Architectural Memory Hierarchy
Page 12 and 13: Fermi Improvements∗ Increase the
Page 15: Kepler SM Design15
Page 19 and 20: Kepler Hardware Features∗ Dynamic
Page 21 and 22: Use for Computation∗ Historically
Page 23 and 24: Example - Vector AdditionCfor( int
Page 25: Synchronization and Performance∗
Page 28 and 29: Conclusions∗ GPUs are massively p

Evolution of the NVIDIA GPU Architecture

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