There are 0 repository under sssp topic.
OpenGraph is an open-source graph processing benchmarking suite written in pure C/OpenMP.
A python implementation of a graph algorithm for solving the single source shortest path problem called Delta Stepping Algorithm
Graph Processing Framework that supports || OpenMP || CAPI
Speculate and Correct Algorithm - An optimized Bellman-Ford-like algorithm
A parallel variant of a graph algorithm (dijkstra’s algorithm) using OpenMP on a Cray machine (XE6/XK7) and performed the benchmarking for single node up to 32 processing units
Conducted a comparative analysis on scaling results for graph algorithms like single source shortest path (SSSP) algorithm using multiple runtime systems thereby reducing time to solution for graph processing with message driven runtime systems (like Charm++, HPX5), parallel boost graph library, or Graph500
Brewing GAPBS with vertex reordering and graph segmentation
Parallel Delta-Stepping SSSP algorithm with the bucket fusion technique invented by Zhang et al. (CGO 2020). Implemented in C++, using the openMP parallelization API.
This repository contains my implementations of algorithms that solve the SSSP problem in a Graph
Parallel implementations of Single Source Shortest Path(SSSP) algorithms on CUDA
A java implementation that introduces a way to find single source shortest paths from a given node to other nodes in the graph. The program works for both directed acyclic graphs(DAGs) as well as for directed graphs that include cycles. The input is given via a pre-validated text file written by the user, which contains the number of vertexes, number of edges and a list of edges and their weights, as well as comments if needed which are denoted by the hash sign(#) at the beginning of line. This information is read and processed, in order to determine the type of graph and to output the shortest paths from the given source node.
SSSP stands for Single-Source Shortest Path. This Dijkstra algorithm is used to obtain optimal solution for SSSP problem.
My Solutions to problems in [Competitive Programming 3]
CLI for nvGraph, which is a GPU-based graph analytics library written by NVIDIA, using CUDA.
OpenMP implementation of Graph500 suite.
Parallel implementation of Dijkstra's algorithm