2 papers
cs.DC2020
Performance Analysis of Traditional and Data-Parallel Primitive Implementations of Visualization and Analysis Kernels
E. Wes Bethel, David Camp, Talita Perciano +1
Measurements of absolute runtime are useful as a summary of performance when studying parallel visualization and analysis methods on computational platforms of increasing concurren…
cs.DC2018
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives
Brenton Lessley, Talita Perciano, Colleen Heinemann +3
We present a new parallel algorithm for probabilistic graphical model optimization. The algorithm relies on data-parallel primitives (DPPs), which provide portable performance over…