Shape Aware Parallel Mesh Simplification Algorithm
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Updated
May 14, 2021 - C++
Shape Aware Parallel Mesh Simplification Algorithm
Large-scale, distributed, sparse linear algebra in Julia.
An implementation of HIP that works on CPUs, across OSes.
A Fast Parallel Algorithm for HDBSCAN* Clustering
Basic parallel algorithms for Julia
Source code and datasets of "Efficient GPU-Accelerated Subgraph Matching", accepted by SIGMOD'23 - By Xibo Sun and Prof. Qiong Luo
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.
Cache-friendly, Parallel, and Samplesort-based Constructor for Suffix Arrays and LCP Arrays
Parallel external memory suffix array construction
Official implementation of the paper "HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package" accepted @ DDECS 2023.
MST: Parallel Minimum Spanning Forest
Parallel external memory construction of BWT from SA
Parallel List Ranking for multicore processors
In this repository you can find all of my projects for Parallel Processing Course when I was in 2nd semester of my master's at SUT.
Parallel Cholesky Factorization of a SPD Matrix with MPI
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).
Run-time improvements on the computation of the inner product for stabilizer states, using parallel and sparse implementations
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…
A collection of my fragment shaders.
Distributed Java Applications at Scale, Parallel Programming, Distributed Computing
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