Home My Accounts | Newsletter | News Flash | Contact Us | Search

 

Issues/Circulation
In Progress Issue: May 2006
Other Issues
Applications
Abaqus 6.5 on Sweetgum
CPMD on Redwood
New Improved g03sub
XWin-32
Amber Installed on Redwood
GAMESS on Mimosa...
Memory Issue of Matlab R13 in Sweetgum
Programming
Online Parallel Programming Course Summer 06
Services
MCSR in the Classroom
MCSR Participation in MAS 2006
MS Participation in SC05 Education Program
Online Services
MyMCSR Web Page
Systems & Resources
Redwood Upgraded to SUSE Linux
Mimosa Adding 22 Nodes
Redwood Upgrade to 324 CPUs Planned
The MCSR Parallel-O-Gram
Amber Version 8 on Redwood

By Taner Pirim

 

The optimized version of Amber ver.8 is now installed on redwood at /usr/local/appl/Amber8 by using Intel Math Kernel Library, MKL, version 7.2.1 as well as Amber ver. 7. Also, Amber 8 is installed on mimosa cluster. The performances of Amber 8 and Amber 7 on Redwood and Mimosa have been analyzed for various numbers of cpus together with Dr. Randy M. Wadkins. The results obtained from the benchmark sets were compared. Amber 8/7 benchmarks were ran for 2, 4, 8, 16, and 32 cpus and the wallclock times obtained from the output files.

 

 

 

 

As shown in the figure above, Amber 7 and 8 benchmarks on Redwood outperformed the benchmark results of Amber 8 on mimosa for all the cpu parallelization. Redwood finished the runs at least 2.5 times faster than mimosa. On less than 8 cpu jobs, redwood completed the runs an average of approximately five times faster than mimosa. Also, Amber 8 performed slightly better than Amber 7 on redwood for all the runs.

 

 

Wallclock Time (secs)

Speed up1

# of CPU

Mimosa Amber8

Redwood Amber7

Redwood Amber8

Redwood Amber 7

Redwood Amber8

2

663.20

262.26

193.57

2.53

3.43

4

460.90

140.82

106.85

4.71

6.21

8

288.82

97.40

80.94

6.81

8.19

16

247.76

52.17

42.70

12.71

15.53

32

220.96

44.19

39.32

15.01

16.87

1 Speed up is calculated by Mimosa Time / Redwood Time

           

            When the speed-up for each run calculated by dividing the runtimes of Redwood to Mimosa runtimes, the speed-ups for each run were better when the numbers of cpus were increased as shown in above Table. Thus, when the speed-ups of 8 and 16 cpu runs were compared, the 16 cpu jobs completed the runs in half the time than 8 cpu jobs. However, 32 cpu speed-ups showed an average of 11% improvement than 16 cpu speed-ups even though the number of cpus used were doubled. Thus, for the benchmarks the best efficiency were obtained by running the benchmarks on 16 processors. If you would like more information on the versions of Amber installed on our systems, please visit our Amber website. For more questions on Amber, please contact us via assist@mcsr.olemiss.edu.

 

 

--------------------------------
Last Modified: Monday, 01-May-2006 16:17:15 CDT
Copyright © 1997-2005 The Mississippi Center for Supercomputing Research. All Rights Reserved.
[an error occurred while processing this directive]