Nowadays, GPUs are widely used to accelerate many high performance computing applications. Energy conservation of such computing systems has become an important research topic. Dynamic voltage/frequency scaling (DVFS) is proved to be an appealing method for saving energy for traditional computing centers. However, there is still a lack of firsthand study on the effectiveness of GPU DVFS. This paper presents a thorough measurement study that aims to explore how GPU DVFS affects the system energy consumption. We conduct experiments on a real GPU platform with 37 benchmark applications. Our results show that GPU voltage/frequency scaling is an effective approach to conserving energy. For example, by scaling down the GPU core voltage and frequency, we have achieved an average of 19.28% energy reduction compared with the default setting, while giving up no more than 4% of performance. For all tested GPU applications, core voltage scaling is significantly effective to reduce system energy consumption. Meanwhile the effects of scaling core frequency and memory frequency depend on the characteristics of GPU applications.
ln the comparative proteomics studies, visualization has become an emerging technique in the analysis. It provides an intuitive overview of large-scale mass spectrometry data sets with possibilities to further explore data details at diff erent levels. While diff erent visualization tools have already been developed, they are often designed to handle one or a few mass spectrometry data sets. Apparently, this is not enough as many proteomics studies involve many samples. It is much desired to simultaneously visualize aU data sets in order to better examine data sets. In this paper, we present a visualization tool named SyncPro for diff erential analysis of multiple pre-processed proteomics data sets. It offers features to (i) compare many dIlta sets simultaneously; (ii) facilitate data exploration through selection and extraction; (iii) quickly judge the quality of selected features. Our proposed method further enhances the functions of existing visualization tools.
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