Colleen Heinemann

DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model\n Using Data-Parallel Primitives

2018 · arXiv (Cornell University)

We present a new parallel algorithm for probabilistic graphical model\noptimization. The algorithm relies on data-parallel primitives (DPPs), which\nprovide portable performance over hardware architecture. We evaluate results on\nCPUs and GPUs for an image segmentation problem. Compared …