This is the artifacts of paper "XPGraph: XPline-Friendly Persistent Memory Graph Stores for Large-Scale Evolving Graphs", which will appear in MICRO'22. Abstract: Traditional in-memory graph storage systems have limited scalability due to the limited capacity and volatility of DRAM. Emerging persistent memory (PMEM), with large capacity and non-volatility, provides us an opportunity to realize the scalable and high-performance graph stores. However, directly moving existing DRAM-based graph storage systems to PMEM would cause serious PMEM access inefficiency issues, including high read and write amplification in PMEM and costly remote PMEM accesses across NUMA nodes, thus leading to the performance bottleneck. We propose XPGraph, a PMEM-bas...
We propose a new data structure, Parallel Adjacency Lists (PAL), for efficiently managing graphs wit...
Graph-structured data is large, ever-changing, and ubiquitous. These features demand that graph anal...
Existing distributed graph analytics systems are categorized into two main groups: those that focus ...
This is the artifacts of paper "XPGraph: XPline-Friendly Persistent Memory Graph Stores for Large-Sc...
Graph processing systems are used in a wide variety of fields, ranging from biology to social networ...
Recent advances in solid state technology have led to the introduction of Solid State Drives (SSDs)....
The determinant of performance in scale-up graph process-ing on a single system is the speed at whic...
Part 3: StorageInternational audienceA growing number of applications store and analyze graph-struct...
The importance of high-performance graph processing to solve big data problems targeting high-impact...
GraphChi is the first reported disk-based graph engine that can handle billion-scale graphs on a sin...
Data center applications like graph analytics require servers with ever larger memory capacities. DR...
© 2017 IEEE. Large-scale applications implemented in today's high performance graph frameworks heavi...
The explosion of digital data and the ever-growing need for fast data analysis have made in-memory b...
Large graphs abound around us – online social networks, Web graphs, the In-ternet, citation networks...
Abstract—Graph analysis performs many random reads and writes, thus these workloads are typically pe...
We propose a new data structure, Parallel Adjacency Lists (PAL), for efficiently managing graphs wit...
Graph-structured data is large, ever-changing, and ubiquitous. These features demand that graph anal...
Existing distributed graph analytics systems are categorized into two main groups: those that focus ...
This is the artifacts of paper "XPGraph: XPline-Friendly Persistent Memory Graph Stores for Large-Sc...
Graph processing systems are used in a wide variety of fields, ranging from biology to social networ...
Recent advances in solid state technology have led to the introduction of Solid State Drives (SSDs)....
The determinant of performance in scale-up graph process-ing on a single system is the speed at whic...
Part 3: StorageInternational audienceA growing number of applications store and analyze graph-struct...
The importance of high-performance graph processing to solve big data problems targeting high-impact...
GraphChi is the first reported disk-based graph engine that can handle billion-scale graphs on a sin...
Data center applications like graph analytics require servers with ever larger memory capacities. DR...
© 2017 IEEE. Large-scale applications implemented in today's high performance graph frameworks heavi...
The explosion of digital data and the ever-growing need for fast data analysis have made in-memory b...
Large graphs abound around us – online social networks, Web graphs, the In-ternet, citation networks...
Abstract—Graph analysis performs many random reads and writes, thus these workloads are typically pe...
We propose a new data structure, Parallel Adjacency Lists (PAL), for efficiently managing graphs wit...
Graph-structured data is large, ever-changing, and ubiquitous. These features demand that graph anal...
Existing distributed graph analytics systems are categorized into two main groups: those that focus ...