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  2. Wait-for graph - Wikipedia

    en.wikipedia.org/wiki/Wait-For_Graph

    A wait-for graph in computer science is a directed graph used for deadlock detection in operating systems and relational database systems.. In computer science, a system that allows concurrent operation of multiple processes and locking of resources and which does not provide mechanisms to avoid or prevent deadlock must support a mechanism to detect deadlocks and an algorithm for recovering ...

  3. Deadlock prevention algorithms - Wikipedia

    en.wikipedia.org/wiki/Deadlock_prevention_algorithms

    A couple of examples include: expanding distributed super-thread locking mechanism to consider each subset of existing locks; Wait-For-Graph (WFG) algorithms, which track all cycles that cause deadlocks (including temporary deadlocks); and heuristics algorithms which don't necessarily increase parallelism in 100% of the places that temporary ...

  4. Breadth-first search - Wikipedia

    en.wikipedia.org/wiki/Breadth-first_search

    Input: A graph G and a starting vertex root of G. Output: Goal state.The parent links trace the shortest path back to root [9]. 1 procedure BFS(G, root) is 2 let Q be a queue 3 label root as explored 4 Q.enqueue(root) 5 while Q is not empty do 6 v := Q.dequeue() 7 if v is the goal then 8 return v 9 for all edges from v to w in G.adjacentEdges(v) do 10 if w is not labeled as explored then 11 ...

  5. Graph Modelling Language - Wikipedia

    en.wikipedia.org/wiki/Graph_Modelling_Language

    Graph-tool, a free Python module for manipulation and statistical analysis of graphs. NetworkX, an open source Python library for studying complex graphs. Tulip (software) is a free software in the domain of information visualisation capable of manipulating huge graphs (with more than 1.000.000 elements).

  6. GraphStream - Wikipedia

    en.wikipedia.org/wiki/GraphStream

    GraphStream allows to store any kind of data attribute on the graph elements: numbers, strings, or any object. Moreover, in addition, GraphStream provides a way to handle the graph evolution in time. This means handling the way nodes and edges are added and removed, and the way data attributes may appear, disappear and evolve.

  7. Easy Java Simulations - Wikipedia

    en.wikipedia.org/wiki/Easy_Java_Simulations

    EJSS is written in the Java programming language and the created simulations are in Java or JavaScript. Java Virtual Machines (JVM) are available for many different platforms; a platform for which a JVM is available can run Java programs. Though Java applets were popular before 2014, JavaScript Applets outputs can be run on almost any device ...

  8. Futures and promises - Wikipedia

    en.wikipedia.org/wiki/Futures_and_promises

    As an example of the first possibility, in C++11, a thread that needs the value of a future can block until it is available by calling the wait() or get() member functions. A timeout can also be specified on the wait using the wait_for() or wait_until() member functions to avoid indefinite blocking.

  9. Node graph architecture - Wikipedia

    en.wikipedia.org/wiki/Node_graph_architecture

    A program's execution need not be controlled by the usual explicit sequential flow conventions. The movement of data through a program may determine its operation. A data controlled convention corresponds closely to our intuitive ideas of how a graphical program should operate and also allows parallel programming without explicit flow designations.