108 citations · 133 across the 5 of their papers we have counts for
4 papers · 1 filter
Hybrid KNN-Join: Parallel Nearest Neighbor Searches Exploiting CPU and GPU Architectural Features
Michael Gowanlock
K Nearest Neighbor (KNN) joins are used in scientific domains for data analysis, and are building blocks of several well-known algorithms. KNN-joins find the KNN of all points in a…
GPU Accelerated Similarity Self-Join for Multi-Dimensional Data
Michael Gowanlock, Ben Karsin
The self-join finds all objects in a dataset that are within a search distance, epsilon, of each other; therefore, the self-join is a building block of many algorithms. We advance…
GPU Accelerated Self-join for the Distance Similarity Metric
Michael Gowanlock, Ben Karsin
The self-join finds all objects in a dataset within a threshold of each other defined by a similarity metric. As such, the self-join is a building block for the field of databases…
The Habitability of our Evolving Galaxy
Michael G. Gowanlock, Ian S. Morrison
The notion of a Galactic Habitable Zone (GHZ), or regions of the Milky Way galaxy that preferentially maintain the conditions to sustain complex life, has recently gained attention…