PAPMAS: A Novel Prototype System for Parallel Application Performance Monitor and Analysis

2011 ◽  
Vol 3 (8) ◽  
pp. 64-72
Author(s):  
Ding Yi ◽  
Hu Kai ◽  
Gao Tao ◽  
Zhang Xinyu ◽  
Jiang Shu
Keyword(s):  
Prototype System ◽  
Application Performance ◽  
Parallel Application ◽  
Performance Monitor

A Parallel Computing Dynamic Task Scheduling System for Nano-Materials Design and Simulation

2013 ◽  
Vol 562-565 ◽  
pp. 709-715
Author(s):  
Xiao Hui Zeng ◽  
Jing Zhong Li ◽  
Deng Li Bo ◽  
Chen Zhang ◽  
Wen Lang Luo
Keyword(s):  
Operating System ◽  
Parallel Computing ◽  
Task Scheduling ◽  
New Method ◽  
Prototype System ◽  
Nano Materials ◽  
Parallel Application ◽  
Scheduling System ◽  
Dynamic Task ◽  
Dynamic Task Scheduling

Available task scheduling systems can not support MPI parallel computing applications to be suspended for quickly inserting the emergency parallel computing tasks. By modifying TCP/IP protocol, this paper proposes a new method to solve the processes’ communication synchronization for suspending parallel application; moreover, by modifying the signal mechanism of the Linux operating system, this paper also proposes a method to solve the problems of consistently suspending and recovering parallel application. A Parallel computing dynamic task scheduling prototype system is implemented, and the experiment results show that the prototype system can suspend running parallel computing application, and also support dynamic insertion of emergency MPI parallel computing application.

scholarly journals Predicting parallel application performance via machine learning approaches

2007 ◽  
Vol 19 (17) ◽  
pp. 2219-2235 ◽  
Author(s):  
Karan Singh ◽  
Engin İpek ◽  
Sally A. McKee ◽  
Bronis R. de Supinski ◽  
Martin Schulz ◽  
...  
Keyword(s):  
Machine Learning ◽  
Learning Approaches ◽  
Application Performance ◽  
Parallel Application
Sign in / Sign up

Export Citation Format

Share Document