🍰 Partitioning algorithms for JavaScript
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Updated
Jul 26, 2024 - JavaScript
🍰 Partitioning algorithms for JavaScript
Big Data Modeling, MapReduce, Spark, PySpark @ Santa Clara University
implementation of partitioning mechanism on Apache Kafka and asynchronous communication between Vert.x microservices
Header-Only C++ Library for Graph Representation and Algorithms
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.
KaHIP -- Karlsruhe HIGH Quality Partitioning.
Partitions an interval as evenly as possible.
JavaScript Ball Physics Simulation
A Python library for anti-clustering algorithms
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
Generic graph (analysis) library in Typescript
METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering
O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian
Coursework of NTHU CS516000 FPGA Architecture & CAD
Coursework of NTHU CS613500 VLSI Physical Design Automation
Complex ray tracing algorithm optimized by using parallelization over different partitioning schemes and explore the performance gains through grain size and processing units (parameters) over sequential algorithm to render a high resolution image.
This repository contains a variety of algorithms designed for graph clustering problems.
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