Results 21 to 30 of about 197,409 (310)
A Novel Partitioning Method for Accelerating the Block Cimmino Algorithm [PDF]
We propose a novel block-row partitioning method in order to improve the convergence rate of the block Cimmino algorithm for solving general sparse linear systems of equations.
Aykanat, Cevdet +2 more
core +2 more sources
RBSEP: a reassignment and buffer based streaming edge partitioning approach
In recent years, the rapid growth of the Internet has led to creation of massively large graphs. Since databases have become very large nowadays, they cannot be processed by a simple machine at an acceptable time anymore; therefore, traditional graph ...
Monireh Taimouri, Hamid Saadatfar
doaj +1 more source
Improved Cheeger's Inequality: Analysis of Spectral Partitioning Algorithms through Higher Order Spectral Gap [PDF]
Let \phi(G) be the minimum conductance of an undirected graph G, and let 0=\lambda_1
Gharan, Shayan Oveis +4 more
core +3 more sources
Using Graph Partitioning for Scalable Distributed Quantum Molecular Dynamics
The simulation of the physical movement of multi-body systems at an atomistic level, with forces calculated from a quantum mechanical description of the electrons, motivates a graph partitioning problem studied in this article.
Hristo N. Djidjev +4 more
doaj +1 more source
Design of Heterogeneous Graph Computing System for Large-Scale Dynamic Graph [PDF]
Graphics Processing Unit (GPU) is not fully utilized when processing large-scale dynamic graphs, and the limitations of GPU-oriented graph partitioning methods lead to performance bottlenecks.
ZHANG Ming, GUO Wenkang, WANG Haifeng
doaj +1 more source
Algorithms for partitioning logical circuits into subcircuits
The problem of partitioning a logical circuit into subcircuits is considered. It is of great importance when performing optimization transformations in the process of circuit synthesis.
N. A. Kirienko
doaj +1 more source
Enhanced adaptive partitioning in a distributed graph database
Nowadays, open-source graph databases do not include an inherent mechanism for data relocation that would be based on their usage. They often do not offer even appropriate monitoring that could help to make such a decision.
Lucie Svitáková +2 more
doaj +1 more source
Window-based Streaming Graph Partitioning Algorithm
In the recent years, the scale of graph datasets has increased to such a degree that a single machine is not capable of efficiently processing large graphs.
Abdolrashidi A. +5 more
core +1 more source
Hypergraph partitioning using tensor eigenvalue decomposition.
Hypergraphs have gained increasing attention in the machine learning community lately due to their superiority over graphs in capturing super-dyadic interactions among entities.
Deepak Maurya, Balaraman Ravindran
doaj +1 more source
(Semi-)External Algorithms for Graph Partitioning and Clustering
In this paper, we develop semi-external and external memory algorithms for graph partitioning and clustering problems. Graph partitioning and clustering are key tools for processing and analyzing large complex networks.
Akhremtsev, Yaroslav +2 more
core +1 more source

