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Improving performance models for irregular point-to-point communication
Amanda Bienz
,
William D. Gropp
,
Luke N. Olson
National Center for Supercomputing Applications (NCSA)
Coordinated Science Lab
Electrical and Computer Engineering
School of Information Sciences
Grainger College of Engineering
Mechanical Science and Engineering
Siebel School of Computing and Data Science
Center for Global Studies
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Keyphrases
Accuracy Improvement
50%
Communication Cost
50%
Communication Patterns
50%
Full Cost
50%
Inter-process Communication
50%
Irregular Communications
50%
Irregular Operations
50%
Irregular Points
100%
Matrix Operation
50%
Model Evaluation
100%
Network Contention
50%
Parallel Applications
50%
Parallel Architecture
50%
Parameter Estimation
50%
Performance Improvement
100%
Point-to-point Communication
100%
Search Time
50%
Sparse Matrix Computation
50%
Traditional Models
100%
Computer Science
Communication Cost
50%
Full Advantage
50%
Interprocess Communication
50%
Matrix Operation
50%
Parallel Application
50%
Parallel Architectures
50%
Performance Model
100%
Point-to-Point Communication
100%
Traditional Model
100%
Mathematics
Matrix Method
50%
Matrix Operation
50%
Performance Model
100%
Sparse Matrix
50%