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GPGPU Performance Estimation with Core and Memory Frequency Scaling
Qiang WANG
, Xiaowen CHU
Department of Computer Science
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
16
Citations (Scopus)
Overview
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Keyphrases
Graphics Processing Unit
100%
GPGPU
100%
Frequency Scaling
100%
Performance Estimation
100%
Real Hardware
50%
Energy Consumption
25%
Micro-benchmarks
25%
Execution Time
25%
Analytical Model
25%
Energy Saving
25%
Dynamic Voltage Frequency Scaling
25%
Dynamic Voltage Scaling
25%
Frequency Sets
25%
Best Frequency
25%
Unit Support
25%
Source Analysis
25%
Computational Performance
25%
Hardware Parameters
25%
Computation Energy
25%
Cycle-level
25%
Performance Counters
25%
Computer Science
Graphics Processing Unit
100%
Memory Frequency
100%
Estimation Performance
100%
Computer Hardware
75%
Energy Consumption
25%
Execution Time
25%
Analytical Model
25%
Energy Saving
25%
Dynamic Voltage and Frequency Scaling
25%
Performance Counter
25%