Making a Case for Green High-Performance Visualization Via Embedded Graphics Processors

2018 ◽  
Author(s):  
Vignesh Adhinarayanan ◽  
Bishwajit Dutta ◽  
Wu-chun Feng
Keyword(s):  
High Performance ◽  
Graphics Processors ◽  
Performance Visualization

Evaluating the potential of graphics processors for high performance embedded computing

2011 ◽  
Author(s):  
Shuai Mu ◽  
Chenxi Wang ◽  
Ming Liu ◽  
Dongdong Li ◽  
Maohua Zhu ◽  
...  
Keyword(s):  
High Performance ◽  
Graphics Processors ◽  
Embedded Computing

scholarly journals From Big Data to Big Displays High-Performance Visualization at Blue Brain

2017 ◽  
pp. 662-675
Author(s):  
Stefan Eilemann ◽  
Marwan Abdellah ◽  
Nicolas Antille ◽  
Ahmet Bilgili ◽  
Grigory Chevtchenko ◽  
...  
Keyword(s):  
Big Data ◽  
High Performance ◽  
Performance Visualization

METHOD OF SOLVING SYSTEM OF LINEAR ALGEBRAIC EQUATIONS WITH USE OF HIGH PERFORMANCE COMPUTING ON GPU

2019 ◽  
pp. 112-115
Author(s):  
M. Z. Benenson
Keyword(s):  
High Performance ◽  
Operation Time ◽  
General Purpose ◽  
Algebraic Equations ◽  
Graphics Processors ◽  
Computing Platform ◽  
Software Interface ◽  
Linear Algebraic Equations ◽  
Gauss Method ◽  
Performance Computing

The  article  discusses  the  use  of  graphics  processing  units  for  solving  large  system  of  linear  algebraic  equations  (SLAE).  A heterogeneous multiprocessor computing platform produced by the NIIVK, whose architecture allows the integration of general‑ purpose microprocessor modules with graphics processor modules was used as an equipment for solving SLAEs. The description  of the SLAE solution program, developed on the basis of the CUBLAS CUDA software interface library, is given. A method is proposed for increasing the accuracy of calculations of linear systems based on the use of a modified Gauss method. It has been  established that the use of the modified Gauss method practically does not increase the program operation time with a significant  increase in the accuracy of calculations. It is concluded that the use of graphics processors for solving SLAEs allows processing  matrices of a larger size compared to the use of general‑purpose microprocessors.

Using Graphics Processors for High Performance SimRank Computation

2012 ◽  
Vol 24 (9) ◽  
pp. 1711-1725 ◽  
Author(s):  
Guoming He ◽  
Cuiping Li ◽  
Hong Chen ◽  
Xiaoyong Du ◽  
Haijun Feng
Keyword(s):  
High Performance ◽  
Graphics Processors
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