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TuFast: A lightweight parallelization library for graph analytics
Zechao Shang
, Jeffrey Xu Yu
, Zhiwei Zhang
Department of Computer Science
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
5
Citations (Scopus)
Overview
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Dive into the research topics of 'TuFast: A lightweight parallelization library for graph analytics'. Together they form a unique fingerprint.
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Keyphrases
Parallelization
100%
Hardware Transactional Memory
100%
Graph Analytics
100%
Large Graphs
40%
Graph Parallelization
40%
Programmer
20%
Instruction Sets
20%
Capacity Constraints
20%
Order of Magnitude
20%
Shared Memory
20%
Hybrid Method
20%
Power-law Degree Distribution
20%
Small Degree
20%
Focus of Attention
20%
Analytics Systems
20%
Distributed Environment
20%
Transactional Memory
20%
Analytical Systems
20%
Core Graph
20%
Multicore
20%
Optimistic Approach
20%
Multi-core Servers
20%
Design Effort
20%
Memory Graph
20%
Memory Library
20%
Pessimistic Approach
20%
Graph Degree
20%
Computer Science
Hardware Transactional Memory
100%
Parallelization
100%
Graph Analytics
100%
Multicore
40%
Shared Memory
20%
Degree Distribution
20%
Small Proportion
20%
Hybrid Approach
20%
Analytics System
20%
Distributed Environment
20%
Usability Perspective
20%
Focus Attention
20%
Memory Transaction
20%
Analytical System
20%
Transactional Memory
20%