108 citations · 114 across the 3 of their papers we have counts for
4 papers · 1 filter
Fast and Scalable Mixed Precision Euclidean Distance Calculations Using GPU Tensor Cores
Brian Curless, Michael Gowanlock
Modern GPUs are equipped with tensor cores (TCs) that are commonly used for matrix multiplication in artificial intelligence workloads. However, because they have high computationa…
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…