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#

parallel-algorithms

Here are 43 public repositories matching this topic...

An implementation of HIP that works on CPUs, across OSes.

  • UpdatedMar 19, 2024
  • C++

Large-scale, distributed, sparse linear algebra in Julia.

  • UpdatedSep 8, 2025
  • Julia

A Fast Parallel Algorithm for HDBSCAN* Clustering

  • UpdatedOct 16, 2022
  • C++

Basic parallel algorithms for Julia

  • UpdatedAug 10, 2025
  • Julia

Source code and datasets of "Efficient GPU-Accelerated Subgraph Matching", accepted by SIGMOD'23 - By Xibo Sun and Prof. Qiong Luo

  • UpdatedJul 20, 2023
  • Cuda

Efficient implementations of Merge Sort and Bitonic Sort algorithms using CUDA for GPU parallel processing, resulting in accelerated sorting of large arrays. Includes both CPU and GPU versions, along with a performance comparison.

  • UpdatedJul 27, 2023
  • Cuda

Cache-friendly, Parallel, and Samplesort-based Constructor for Suffix Arrays and LCP Arrays

  • UpdatedJun 23, 2025
  • C++

Official implementation of the paper "HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package" accepted @ DDECS 2023.

  • UpdatedJul 11, 2025
  • C++

Parallel external memory suffix array construction

  • UpdatedJul 27, 2021
  • C++

CUDA implementation of HFT components showcasing GPU acceleration for financial applications. Features limit order book with matching engine and parallel sorting for market data. Demonstrates significant performance gains over CPU implementations.

  • UpdatedMar 11, 2025
  • Cuda

Parallel external memory construction of BWT from SA

  • UpdatedJan 9, 2021
  • C++

Parallel Cholesky Factorization of a SPD Matrix with MPI

  • UpdatedMay 25, 2021
  • C

Implementations of the parallel and sequential cube sampling algorithms presented in the paper "A Scalable Parallel Algorithm for Balanced Sampling" (Alexander Lee, Stefan Walzer-Goldfeld, Shukry Zablah, Matteo Riondato, AAAI'22 Student Abstract).

  • UpdatedNov 18, 2021
  • Python

Algoritmi paralleli e distribuiti

  • UpdatedFeb 20, 2025
  • Typst

Run-time improvements on the computation of the inner product for stabilizer states, using parallel and sparse implementations

  • UpdatedMar 16, 2022
  • C

SIMPLE is a framework for implementation of parallel algorithms using our methodology for developing high performance programs running on clusters of SMP nodes. Our methodology is based on a small kernel (SIMPLE) of collective communication primitives that make efficient use of the hybrid shared and message passing environment. We illustrate the…

  • UpdatedDec 28, 2020
  • C

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