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Hybrid CPU/GPU clustering in shared memory on the billion point scale
Michael Gowanlock
Informatics, Computing, and Cyber Systems, School of
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
9
Scopus citations
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Keyphrases
Point Scale
100%
Shared Memory
100%
Heterogeneous CPU-GPU
100%
Density-based Spatial Clustering of Applications with Noise (DBSCAN)
75%
Parallelization
25%
High Efficiency
25%
Distance Calculation
25%
Data Partitioning
25%
Dense Datasets
25%
Clustering Algorithm
25%
Distributed Storage
25%
Clustered Data
25%
Memory Capacity
25%
GPU Memory
25%
Unsupervised Method
25%
CPU-GPU
25%
Memory Approach
25%
Data Region
25%
Computer Science
Shared Memories
100%
Clustering Algorithm
33%
Memory Capacity
33%
Distance Calculation
33%
Distributed Memory
33%
Parallelization
33%
Data Partition
33%
Clustered Data
33%