Table 2: Component blocks in an NVIDIA Graphics Processing Cluster (GPC)Ħ4 (tied to the memory controller and L2 cache) Texture Processing Clusters (TPCs) which include:.2 Raster Operator Partitions (ROPs), each containing 8 ROP units.It is also higher density, so more memory can be included when using the same footprint.Ĭomponents in Graphics Processing Clusters (GPCs) GDDR6 supports higher bandwidth, a bigger interface, and is more energy efficient than GDDR5. The Ampere and Turing GPUs support GDDR6 memory. Memory Support: The Pascal GPU supported GDDR5 memory. This can provide double the bandwidth compared to Gen 3, and it is still fully compatible with the previous PCIe generation interfaces. PCIe Host Interface: The Ampere GPU updated the PCIe host interface to PCIe 4.0. Table 1: Component Blocks used in an NVIDIA GPU Details for each SM are shown in Figure 2. With Ampere NVIDIA has continued to make significant improvements to the GPU, including updates to CUDA ® core processing data paths and updates to the next generation of Turing cores and Ray Tracing cores.įigure 1: NVIDIA Ampere GA104 architecture. The Turing architecture also introduced Ray Tracing cores used to accelerate photo realistic rendering. NVIDIA GPUs have always excelled at video graphics processing and in providing support for general purpose data processing that benefitted from massive parallel processing algorithms. In the update from Pascal to Volta/Turing NVIDIA also became a leader in artificial intelligence (AI) processing with the inclusion of Tensor cores, which were first introduced in the Volta architecture for data centers in 2017, followed by their introduction in the Turing architecture for desktop and other use cases in 2019. (The Volta architecture that preceded Turing is mentioned but is not a focus of this paper.) This paper focuses on the key improvements found when upgrading an NVIDIA ® GPU from the Pascal to the Turing to the Ampere architectures, specifically from GP104 to TU104 to GA104.
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