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The Implications of Page Size Management on Graph Analytics
Aninda Manocha
, Zi Yan
, Esin Tureci
, Juan Luis Aragon
, David Nellans
,
Margaret Martonosi
Computer Science
Center for Information Technology Policy (CITP)
Electrical and Computer Engineering
High Meadows Environmental Institute
Keller Center for Innovation in Engineering Education
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
9
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Scopus citations
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Dive into the research topics of 'The Implications of Page Size Management on Graph Analytics'. Together they form a unique fingerprint.
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Computer Science
Application Performance
100%
Translation Lookaside Buffer
100%
Memory Access Pattern
100%
Graph Analytics
100%
Access Pattern
50%
Memory System
50%
Workload Characteristic
50%
Graph Representation
50%
Dynamic Workload
50%
Allocation Policy
50%
Memory Resource
50%
Address Translation
50%
Miss Rate
50%
Memory Footprint
50%
Application Graph
50%
Access Variable
50%
Keyphrases
Graph Analytics
100%
Huge Pages
100%
Page Size
100%
Size Management
100%
Programmer
18%
Real System
18%
Application Performance
18%
Translation Lookaside Buffer
18%
Access Pattern
9%
Order of Magnitude
9%
Allocation Policy
9%
Access Frequency
9%
Workload Characteristics
9%
Comprehensive Characterization
9%
Graph Representation
9%
Data Representation
9%
Dynamic Workload
9%
Memory-constrained
9%
Resource Availability
9%
Memory Resource
9%
Address Translation
9%
Miss Rate
9%
System Memory
9%
Pattern Size
9%
Address Space
9%
Constrained Systems
9%
Coupling Degree
9%
Management Techniques
9%
Analytics Application
9%
Memory Footprint
9%
Application Throughput
9%
Size Decision
9%
Footprint Size
9%
Specific Memory
9%
Graph Applications
9%
Irregular Memory Access Patterns
9%
Page Placement
9%
Page Management
9%
Pattern with Variables
9%
Graph Data
9%
Memory Access Pattern
9%
Multi-domain Optimization
9%