2018
DOI: 10.1109/access.2018.2861571
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Analyzing Power and Energy Efficiency of Bitonic Mergesort Based on Performance Evaluation

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Cited by 12 publications
(4 citation statements)
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References 34 publications
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“…Abulnaja et al [2] investigated Bitonic Mergesort to identify the factors that result in its underlying power and energy efficiency advantage over Bitonic Mergesort. They analyze the power and energy efficiency of Bitonic Mergesort and Advanced Quicksort based on their performance evaluation on NVIDIA K40 GPU.…”
mentioning
confidence: 99%
“…Abulnaja et al [2] investigated Bitonic Mergesort to identify the factors that result in its underlying power and energy efficiency advantage over Bitonic Mergesort. They analyze the power and energy efficiency of Bitonic Mergesort and Advanced Quicksort based on their performance evaluation on NVIDIA K40 GPU.…”
mentioning
confidence: 99%
“…Abulnaja et al [14] analyzed bitonic mergesort compared to an advanced quicksort on the NVIDIA K40 GPU for power and energy efficiency. They introduced the factors that affected power consumption and studied those that led to higher energy and power consumption, such as data movement and access rate.…”
Section: Literature Reviewmentioning
confidence: 99%
“…When the research objects of energy efficiency are different, the calculation methods of energy efficiency are generally different. Energy efficiency refers to the use of relatively less energy while maintaining the same service or efficient output [9][10]. The results obtained by using different definitions and indicators are often quite different, which makes it difficult to judge the current level of energy efficiency in the region.…”
Section: Energy Efficiency Evaluation Researchmentioning
confidence: 99%