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Modeling Data Movement Performance on Heterogeneous Architectures
Amanda Bienz
,
Luke N. Olson
,
William D. Gropp
, Shelby Lockhart
National Center for Supercomputing Applications (NCSA)
Grainger College of Engineering
Mechanical Science and Engineering
Coordinated Science Lab
Electrical and Computer Engineering
School of Information Sciences
Siebel School of Computing and Data Science
Center for Global Studies
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Keyphrases
Modeling Data
100%
Heterogeneous Architectures
100%
Data Movement
100%
Movement Performance
100%
Inter-node Communication
50%
Performance Model
50%
Performance Improvement
25%
CPU Core
25%
Communications-based
25%
Collective Operations
25%
Parallel System
25%
MPI Collectives
25%
GPU Communication
25%
Communication Bottleneck
25%
GPUDirect
25%
Computer Science
Heterogeneous Architecture
100%
Data Modeling
100%
Performance Model
66%
Performance Improvement
33%
Collective Operation
33%
Parallel System
33%
Graphics Processing Unit
33%