scholarly journals The Methane Isotopologues by Solar Occultation (MISO) Nanosatellite Mission: Spectral Channel Optimization and Early Performance Analysis

2017 ◽  
Vol 9 (10) ◽  
pp. 1073 ◽  
Author(s):  
Damien Weidmann ◽  
Alex Hoffmann ◽  
Neil Macleod ◽  
Kevin Middleton ◽  
Joe Kurtz ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Spectral Channel ◽  
Solar Occultation ◽  
Early Performance

Research on the Uncertainty Analysis of Architecture Performance

2014 ◽  
Vol 696 ◽  
pp. 276-280
Author(s):  
Wen Wen Yin
Keyword(s):  
Performance Analysis ◽  
Uncertainty Analysis ◽  
Integral Formula ◽  
Early Time ◽  
Uncertainty Sources ◽  
Large Numbers ◽  
Probability Integral ◽  
Early Performance

The early performance analysis of architecture can effectively avoid the risk of redesign when the performance cannot achieve the goal. As the absence of information and data in the early time, there are large numbers of uncertainties. From the analysis of uncertainty sources and quantifying combination, the performance probability integral formula can be derived, which is essential to compare the architecture performance. This formula describes uncertainties by the form of probability.

scholarly journals An Early Performance Comparison of CUDA and OpenACC

2018 ◽  
Vol 208 ◽  
pp. 05002
Author(s):  
Xuechao Li ◽  
Po-Chou Shih
Keyword(s):  
Performance Analysis ◽  
Programming Model ◽  
Good Alternative ◽  
Performance Comparison ◽  
Performance Ratio ◽  
Programming Models ◽  
Object Code ◽  
Early Performance ◽  
Data Sensitivity ◽  
A Performance

This paper presents a performance comparison between CUDA and OpenACC. The performance analysis focuses on programming models and underlying compilers. In addition, we proposed a Performance Ratio of Data Sensitivity (PRoDS) metric to objectively compare traditional subjective performances: how sensitive OpenACC and CUDA implementations are to change in data size. The results show that in terms of kernel running time, the OpenACC performance is lower than the CUDA performance because PGI compiler needs to translate OpenACC kernels into object code while CUDA codes can be directly run. Besides, OpenACC programs are more sensitive to data changes than the equivalent CUDA programs with optimizations, but CUDA is more sensitive to data changes than OpenACC if there are no optimizations. Overall we found that OpenACC is a reliable programming model and a good alternative to CUDA for accelerator devices.

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