Abstract:
This work presents a low-power neural graphics system enabling both instant 3D modeling and real-time rendering on mobile devices with 3 key features: 1) Segmented Hashin...Show MoreMetadata
Abstract:
This work presents a low-power neural graphics system enabling both instant 3D modeling and real-time rendering on mobile devices with 3 key features: 1) Segmented Hashing with Spatial Pruning (SHSP), 2) Hybrid Interpolation Unit (HIU), and 3) Similarity-Sparsity Skipping (S3) Core. Resolving irregular memory access by hash function and high computation cost of MLP, proposed system achieves 8.7× faster 3D modeling and 231.4× smaller energy per iteration compared to edge GPU although it has 31× smaller off-chip memory bandwidth.
Date of Conference: 17-19 April 2024
Date Added to IEEE Xplore: 17 May 2024
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