articleOct 8, 2013GOLD OA
A lightweight infrastructure for graph analytics
The University of Texas at Austin
Indexed incrossref
Abstract
Several domain-specific languages (DSLs) for parallel graph analytics have been proposed recently. In this paper, we argue that existing DSLs can be implemented on top of a general-purpose infrastructure that (i) supports very fine-grain tasks, (ii) implements autonomous, speculative execution of these tasks, and (iii) allows application-specific control of task scheduling policies. To support this claim, we describe such an implementation called the Galois system.
Citation impact
589
total citations
- FWCI
- 32.07
- Percentile
- 100%
- References
- 38
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Computer science
- Analytics
- Scheduling (production processes)
- Graph
- Domain-specific language
- Task (project management)
- Programming language
- Theoretical computer science
UN Sustainable Development Goals
- Industry, innovation and infrastructure
No related works found for this paper.
Funding
- NSNational Science FoundationAwards: OCI-105357, ACI 1216701, CCF 1218568, 1216701, 121670, CCF 1337281, OCI-1053575, 1053575, 1337281, CNS 1064956, 1218568
- UDU.S. Department of EnergyAwards: CNS 1064956, OCI-1053575, CCF 1337281, ACI 1216701, CCF 1218568
- OOOffice of Advanced CyberinfrastructureAward: OCI-1053575
- DODivision of Computing and Communication FoundationsAward: CCF 1337281, CCF 1218568, ACI 1216701, CNS 1064956
- DODivision of Computer and Network SystemsAward: CCF 1337281, CCF 1218568, ACI 1216701, CNS 1064956
- DODivision of Advanced CyberinfrastructureAward: CCF 1337281, CCF 1218568, ACI 1216701, CNS 1064956
- SNSandia National Laboratories