Fast navigation through graphs with O(1) cost relies on compact storage of graphs in dense arrays, but is not efficiently updatable. In this paper we propose storage of updatable graphs in Packed Memory Arrays (PMAs), and tackle the problem of supporting concurrent updates and reads. So far, there has been no work on concurrently updating PMAs. We propose two novel techniques to perform concurrent scans and updates in the data structure and evaluate our implementation against other existing alternatives, showing that PMAs can i
Graph-structured data is large, ever-changing, and ubiquitous. These features demand that graph anal...
Research area: Graph Mining AlgorithmsLarge graphs with billions of nodes and edges are increasingly...
In this paper, we consider the problem of preserving acyclicity in a directed graph (for shared mem...
Fast navigation through graphs with O(1) cost relies on compact storage of graphs in dense arrays, b...
The physical memory layout of a tree-based index structure deteriorates over time as it sustains mor...
Frameworks optimised for graph analysis tend to rely on data structures that are write unfriendly, o...
We present LLAMA, a graph storage and analysis system that supports mutability and out-of-memory exe...
Today’s graph-based analytics tasks in domains such as blockchains, social networks, biological netw...
With the rapidly growing demand of graph processing in the real world, a large number of iterative g...
The packed-memory array (PMA) is a data structure that maintains a dynamic set of N elements in sort...
Graph processing systems are used in a wide variety of fields, ranging from biology to social networ...
Part 3: StorageInternational audienceA growing number of applications store and analyze graph-struct...
This is the artifacts of paper "XPGraph: XPline-Friendly Persistent Memory Graph Stores for Large-Sc...
Graphics Processing Units (GPUs) have been used successfully for accelerating a wide variety of appl...
The determinant of performance in scale-up graph process-ing on a single system is the speed at whic...
Graph-structured data is large, ever-changing, and ubiquitous. These features demand that graph anal...
Research area: Graph Mining AlgorithmsLarge graphs with billions of nodes and edges are increasingly...
In this paper, we consider the problem of preserving acyclicity in a directed graph (for shared mem...
Fast navigation through graphs with O(1) cost relies on compact storage of graphs in dense arrays, b...
The physical memory layout of a tree-based index structure deteriorates over time as it sustains mor...
Frameworks optimised for graph analysis tend to rely on data structures that are write unfriendly, o...
We present LLAMA, a graph storage and analysis system that supports mutability and out-of-memory exe...
Today’s graph-based analytics tasks in domains such as blockchains, social networks, biological netw...
With the rapidly growing demand of graph processing in the real world, a large number of iterative g...
The packed-memory array (PMA) is a data structure that maintains a dynamic set of N elements in sort...
Graph processing systems are used in a wide variety of fields, ranging from biology to social networ...
Part 3: StorageInternational audienceA growing number of applications store and analyze graph-struct...
This is the artifacts of paper "XPGraph: XPline-Friendly Persistent Memory Graph Stores for Large-Sc...
Graphics Processing Units (GPUs) have been used successfully for accelerating a wide variety of appl...
The determinant of performance in scale-up graph process-ing on a single system is the speed at whic...
Graph-structured data is large, ever-changing, and ubiquitous. These features demand that graph anal...
Research area: Graph Mining AlgorithmsLarge graphs with billions of nodes and edges are increasingly...
In this paper, we consider the problem of preserving acyclicity in a directed graph (for shared mem...