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  1. Proceedings of Workshop on GRAph Data management Experiences and Systems (GRADES'14)
  2. HelP: High-level Primitives For Large-Scale Graph Processing
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Graph Processing on an "almost" Relational Database
MapGraph: A High Level API for Fast Development of High Performance Graph Analytics on GPUs
HelP: High-level Primitives For Large-Scale Graph Processing
Asymmetry in Large-Scale Graph Analysis, Explained
PGX.ISO: Parallel and Efficient In-Memory Engine for Subgraph Isomorphism
Using semijoin programs to solve traversal queries in graph databases
How community-like is the structure of synthetically generated graphs?
Graph Pattern Matching: Do We Have to Reinvent the Wheel?
GRATIN: Accelerating Graph Traversals in Main-Memory Column Stores
A Highly Efficient Runtime and Graph Library for Large Scale Graph Analytics
Towards a Query-by-Example System for Knowledge Graphs
Toward Representation Independent Similarity Search Over Graphs

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HelP: High-level Primitives For Large-Scale Graph Processing

Content Provider ACM Digital Library
Author Widom, Jennifer Salihoglu, Semih
Abstract Large-scale graph processing systems typically expose a small set of functions, such as the compute() function of Pregel, or the gather(), apply(), and scatter() functions of PowerGraph. For some computations, these APIs are too low-level, yielding long and complex programs, but with shared coding patterns. Similar issues with the MapReduce framework have led to widely-used languages such as Pig Latin and Hive, which introduce higher-level primitives. We take an analogous approach for graph processing: we propose HelP, a set of high-level primitives that capture commonly appearing operations in large-scale graph computations. Using our primitives we have implemented a large suite of algorithms, some of which we previously implemented with the APIs of existing systems. Our experience has been that implementing algorithms using our primitives is more intuitive and much faster than using the APIs of existing distributed systems. All of our primitives and algorithms are fully implemented as a library on top of the open-source GraphX system.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781450329828
DOI 10.1145/2621934.2621938
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-06-22
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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