Performance analysis of Vedic mathematics algorithms on re-configurable hardware platform

Sadhana ◽  
2021 ◽  
Vol 46 (2) ◽  
Author(s):  
Rhea Biji ◽  
Vijay Savani
Keyword(s):  
Performance Analysis ◽  
Hardware Platform ◽  
Vedic Mathematics ◽  
Configurable Hardware

The Realization of μC/OS-II in BMS and its Performance Analysis

2012 ◽  
Vol 512-515 ◽  
pp. 2670-2675
Author(s):  
Yuan Bin Yu ◽  
Hai Tao Min ◽  
Xiao Dong Qu ◽  
Jun Guo
Keyword(s):  
Performance Analysis ◽  
Real Time ◽  
Electric Vehicle ◽  
High Reliability ◽  
Quantitative Comparison ◽  
Hardware Platform ◽  
The Real

μC/OS-II is one of RTOS which has remarkable advantages, such as high reliability, high real-time ability, and easy code scalability. This paper transplanted it into BMS on electric vehicle successfully which was based on MC9S12XDP512 MCU hardware platform. Using quantitative comparison under specific tests, this paper also verified the real-time and reliability advantages of μC/OS-II.

scholarly journals Performance analysis of machine learning libraries

2021 ◽  
Vol 20 ◽  
pp. 230-236
Author(s):  
Ewa Justyna Kędziora ◽  
Grzegorz Krzysztof Maksim
Keyword(s):  
Machine Learning ◽  
Performance Analysis ◽  
Computational Efficiency ◽  
Hardware Platform ◽  
Running Time ◽  
Detection Of Objects

The paper presents results of performance analysis of machine learning libraries. The research was based on ML.NET and TensorFlow tools. The analysis was based on a comparison of running time of the libraries, during detection of objects on sets of images, using hardware with different parameters. The library, consuming fewer hardware resources, turned out to be TensorFlow. The choice of hardware platform and the possibility of using graphic cores, affecting the increase in computational efficiency, turned out to be not without significance.

Performance analysis of capacity discovery algorithm on hardware platform

2010 ◽  
Author(s):  
Karunakar Gampa ◽  
S. J. Ranade ◽  
Palak Jain ◽  
Manikanden Balakrishnan ◽  
Sandeep Yemewar
Keyword(s):  
Performance Analysis ◽  
Hardware Platform
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