9 citations · 18 across the 3 of their papers we have counts for
3 papers
Scalable High-Quality Hypergraph Partitioning
Lars Gottesbüren, Tobias Heuer, Nikolai Maas +2
Balanced hypergraph partitioning is an NP-hard problem with many applications, e.g., optimizing communication in distributed data placement problems. The goal is to place all nodes…
More Recent Advances in (Hyper)Graph Partitioning
Ümit V. Çatalyürek, Karen D. Devine, Marcelo Fonseca Faraj +8
In recent years, significant advances have been made in the design and evaluation of balanced (hyper)graph partitioning algorithms. We survey trends of the last decade in practical…
Thrill: High-Performance Algorithmic Distributed Batch Data Processing with C++
Timo Bingmann, Michael Axtmann, Emanuel Jöbstl +7
We present the design and a first performance evaluation of Thrill -- a prototype of a general purpose big data processing framework with a convenient data-flow style programming i…