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Experiments on rendering performance for both scenes and on scalability for multi-GPU performance acceleration conduct on a single-node server. This server contains 2 Intel Xeon Gold 6230R CPUs together equipped with 104 cores and 4 identical NVIDIA A100 Tensor Core GPUs. Of these, each GPU has a memory size of 40GB and memory bandwidth of 1555GB per second, and the bus standard is PCIe 3.0 (Peripheral Component Interconnect Express).
We use Blender Cycles to render the scene. Cycles is a physically based production renderer developed by the Blender project. It can be cross-platform and can use GPU rendering or CPU plus GPU hybrid rendering to increase rendering efficiency. And its advantages are fast rendering, rendering quality has authenticity.
It also supports distributed rendering for high performance computing, which is necessary to utilize the computational resources of multiple GPUs to improve rendering performance.
So the Multi-GPU rendering experiments in this paper are conducted in Blender Cycles engine. |
IEEE/ICACT20230047 Slide.08
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