activity
20162022
most citedArborX: A Performance Portable Geometric Search Library

26 citations · 50 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2022★ 7 cited

A single-tree algorithm to compute the Euclidean minimum spanning tree on GPUs

Andrey Prokopenko, Piyush Sao, Damien Lebrun-Grandié

Computing the Euclidean minimum spanning tree (EMST) is a computationally demanding step of many algorithms. While work-efficient serial and multithreaded algorithms for computing…

cs.DC2021★ 8 cited

Fast tree-based algorithms for DBSCAN for low-dimensional data on GPUs

Andrey Prokopenko, Damien Lebrun-Grandie, Daniel Arndt

DBSCAN is a well-known density-based clustering algorithm to discover arbitrary shape clusters. While conceptually simple in serial, the algorithm is challenging to efficiently par…

cs.DC2019★ 26 cited

ArborX: A Performance Portable Geometric Search Library

D. Lebrun-Grandié, A. Prokopenko, B. Turcksin +1

Searching for geometric objects that are close in space is a fundamental component of many applications. The performance of search algorithms comes to the forefront as the size of…

cs.SE2019★ 4 cited

Automated Fortran--C++ Bindings for Large-Scale Scientific Applications

Seth R. Johnson, Andrey Prokopenko, Katherine J. Evans

Although many active scientific codes use modern Fortran, most contemporary scientific software "libraries" are implemented in C and C++. Providing their numerical, algorithmic, or…

math.NA2016★ 5 cited

An algebraic multigrid method for mixed discretizations of the Navier-Stokes equations

Andrey Prokopenko, Raymond S. Tuminaro

Algebraic multigrid (AMG) preconditioners are considered for discretized systems of partial differential equations (PDEs) where unknowns associated with different physical quantiti…