Pinned Repositories
bootstrap4-responsive-sidebar
Bootstrap 4 Fixed positioned responsive sidebar menu
cosmos
[Show :heart: love by 🌟] Your personal library of every algorithm and data structure code that you will ever encounter
cs_
DFS
distributed file system
dfss
DGraph
DGraph is a system for directed graph processing with taking advantage of the strongly connected component structure. On this system, most graph partitions are able to reach convergence in order and need to be loaded into the main memory for exactly once, getting much lower data access cost and faster convergence.
Distributed-Systems
This is a simple distributed system with a simple file system and a graph processing system like Pregel
dotfiles
kilo
A text editor in less than 1000 LOC with syntax highlight and search.
linux-2.6.36
ptpkueqf's Repositories
ptpkueqf/cosmos
[Show :heart: love by 🌟] Your personal library of every algorithm and data structure code that you will ever encounter
ptpkueqf/bootstrap4-responsive-sidebar
Bootstrap 4 Fixed positioned responsive sidebar menu
ptpkueqf/cs_
ptpkueqf/DFS
distributed file system
ptpkueqf/dfss
ptpkueqf/DGraph
DGraph is a system for directed graph processing with taking advantage of the strongly connected component structure. On this system, most graph partitions are able to reach convergence in order and need to be loaded into the main memory for exactly once, getting much lower data access cost and faster convergence.
ptpkueqf/Distributed-Systems
This is a simple distributed system with a simple file system and a graph processing system like Pregel
ptpkueqf/dotfiles
ptpkueqf/kilo
A text editor in less than 1000 LOC with syntax highlight and search.
ptpkueqf/linux-2.6.36
ptpkueqf/fastai
The fast.ai deep learning library, lessons, and tutorials
ptpkueqf/graphchi-cpp
GraphChi's C++ version. Big Data - small machine.
ptpkueqf/GraphPartitioning
Implementing the spectral graph partitioning in a parallel environment with OpenMPI.
ptpkueqf/PathGraph
PathGraph, a path-centric graph processing system for fast iterative computation on large graphs with billions of edges. Large scale graph analysis applications typically involve datasets of massive scale. Most of existing approaches address the iterative graph computation problem by programming and executing graph computation using either vertex centric or edge centric approaches. We develop a path-centric graph processing system PathGraph for fast iterative computation on large graphs with billions of edges.
ptpkueqf/PowerGraph
PowerGraph: A framework for large-scale machine learning and graph computation.
ptpkueqf/Sava
Distributed Graph Processing System
ptpkueqf/Sava-1
distributed graph processing system
ptpkueqf/SmouthScrolling
Yet another single page website with fixed sidebar navigation and smouth scrolling