4 papers · 1 filter
Hierarchy-GBP: Accelerating Factor Graph Inference via Abstraction and Recovery
Yuzhou Cheng, Tom Yates, Ignacio Alzugaray +3
Gaussian Belief Propagation (GBP) is a distributed inference algorithm that passes messages in graphical models, making it attractive for scalable spatial intelligence. However, we…
Rendering 3D Gaussians on a Graph Processor
Nicholas Fry, Ignacio Alzugaray, Mark Pupilli +2
We present the first implementation of a 3D Gaussian renderer on an Intelligence Processing Unit (IPU), comprising 1,472 independent tiles with only on-chip SRAM; constraints that…
Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs
Tom Yates, Yuzhou Cheng, Ignacio Alzugaray +3
Belief Propagation (BP) is a powerful algorithm for distributed inference in probabilistic graphical models, however it quickly becomes infeasible for practical compute and memory…
Radiant Foam Rendering on a Graph Processor
Zulkhuu Tuya, Ignacio Alzugaray, Nicholas Fry +1
Many emerging many-core accelerators replace a single large device memory with hundreds to thousands of lightweight cores, each owning only a small local SRAM and exchanging data v…