High-quality shared-memory graph partitioning
WebOct 23, 2024 · Title:High-Quality Shared-Memory Graph Partitioning Authors:Yaroslav Akhremtsev, Peter Sanders, Christian Schulz Download PDF Abstract:Partitioning graphs into blocks of roughly equal size such that few edges run between blocks is a frequently needed operation in processing graphs. Recently, WebThis work presents the scalable and high-quality hypergraph partitioning framework Mt-KaHyPar, which includes parallel improvement algorithms based on the FM algorithm and maximum flows, as well as a parallel clustering algorithm for coarsening - which are used in a multilevel scheme with $\\log(n)$ levels. Balanced hypergraph partitioning is an NP …
High-quality shared-memory graph partitioning
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WebWe present an approach to multi-level shared-memory parallel graph partitioning that produces balanced solutions, shows high speedups for a variety of large graphs and … WebOct 23, 2024 · Graphs High-Quality Shared-Memory Graph Partitioning Authors: Yaroslav Akhremtsev Karlsruhe Institute of Technology Peter Sanders University of Twente …
WebA variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods. In this paper, we discuss an equivalence between the objective functions used in these seemingly different methods - in particular, a general weighted kernel k-means objective is … WebJun 11, 2024 · High-Quality Shared-Memory Graph Partitioning Abstract: Partitioning graphs into blocks of roughly equal size such that few edges run between blocks is a …
WebJan 1, 2024 · High-quality shared-memory graph partitioning Apache giraph, Apache software foundation (2024) BarnardS.T. et al. Fast multilevel implementation of recursive … WebAbstract. Graph partitioning is a common and frequent preprocessing step in many high-performance parallel applications on distributed- and shared-memory architectures. It is used to distribute graphs across memory and to improve spatial locality. There are several parallel implementations of graph partitioning for distributed-memory architectures.
WebFor instance, on one of the modest-sized inputs (Slashdot: 73K nodes; 905K edges), the partitioning-based shared memory implementation yields 4610Xspeedup, reducing the runtime from 9h 36m to 7 ...
WebAug 27, 2024 · High-Quality Shared-Memory Graph Partitioning Pages 659–671 Abstract References Index Terms Comments Abstract Partitioning graphs into blocks of roughly … how many calories in 2 oz of beefWebmemory graph partitioner designed to process trillion-edge graphs. XTRAPULP is based on the scalable label propagation community detection technique, which has been demonstrated as a viable means to produce high quality partitions with minimal computation time. On a collection of large sparse graphs, we show that XTRAPULP … how many calories in 2 new potatoesWebJan 20, 2024 · The authors of [ 3] proposed a shared-memory parallel multilevel graph partitioning algorithm, which adopted parallel localized local search to ensure high quality and balanced partitions. Cache-aware hash tables are used to reduce memory consumption. Another well-known approach is Stream-based partitioning [ 5, 11, 26, 38, 39 ]. how many calories in 2 oz ground beefWebHigh-Quality Shared-Memory Graph Partitioning Yaroslav Akhremtsev, Peter Sanders, and Christian Schulz Abstract—Partitioning graphs into blocks of roughlyequal size such that … how many calories in 2 oz cooked ground beefWebOct 23, 2024 · We present an approach to multi-level shared-memory parallel graph partitioning that guarantees balanced solutions, shows high speed-ups for a variety of … high rated tv shows 2013WebAug 1, 2024 · Shared-memory parallel graph partitioning algorithms can in turn also be used as a component of a distributed graph partitioner, which distributes parts of a graph to … high rated uber marketsWebJan 1, 2024 · Parallelizing multilevel algorithms in the context of graph partitioning has been the focus of several studies. Akhremtsev et al. [1] propose a shared memory multilevel graph partitioner by parallelizing the label propagation algorithm [29] in the coarsening phase and introducing a parallel version of k-way multi-try local search [31]. high rated used compact suvs