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GPGPU Performance Estimation with Core and Memory Frequency Scaling
Qiang WANG
*
, Xiaowen CHU
*
Corresponding author for this work
Department of Computer Science
Research output
:
Contribution to journal
›
Journal article
›
peer-review
35
Citations (Scopus)
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Keyphrases
Graphics Processing Unit
100%
GPGPU
100%
Frequency Scaling
100%
Performance Estimation
100%
Frequency Sets
40%
Real Hardware
40%
Energy Consumption
20%
Micro-benchmarks
20%
NVIDIA
20%
Execution Time
20%
One-off
20%
Analytical Model
20%
Energy Saving
20%
Dynamic Voltage Frequency Scaling
20%
Dynamic Voltage Scaling
20%
Performance Model
20%
Best Frequency
20%
Unit Support
20%
Computational Performance
20%
Hardware Parameters
20%
Computation Energy
20%
Cycle-level
20%
Performance Counters
20%
Source Code Analysis
20%
Scaling Behavior
20%
Performance Scale
20%
Computer Science
Graphics Processing Unit
100%
Memory Frequency
100%
Estimation Performance
100%
Computer Hardware
60%
Experimental Result
20%
Energy Consumption
20%
Execution Time
20%
Analytical Model
20%
Energy Saving
20%
Average Accuracy
20%
Dynamic Voltage and Frequency Scaling
20%
Performance Model
20%
Performance Counter
20%
Source Code Analysis
20%