Gromacs Benchmark
https://docs.rc.uab.edu/
Please use the new documentation url https://docs.rc.uab.edu/ for all Research Computing documentation needs.
As a result of this move, we have deprecated use of this wiki for documentation. We are providing read-only access to the content to facilitate migration of bookmarks and to serve as an historical record. All content updates should be made at the new documentation site. The original wiki will not receive further updates.
Thank you,
The Research Computing Team
This page is under construction!
The efficiency of a parallel system describes the fraction of the time that is being used by the processors for a given computation. It is defined as
Execution time using one processor ts
E(n)= -------------------------------------- = ----
N * Execution time using N processors N tn
In general, parallel jobs should scale to at least 70% efficiency. The ASC's DMC recommends a scaling efficiency of 75% or greater. For Gromacs the efficiency of a parallel job can be calculated with either the Wall clock parameter or the ns/day parameter. We use the wall clock and efficiency is calculated as (where N is processors committed to the job):
Wall Clock where N = 1
------------------------------------- * 100 = Efficiency
N * Wall Clock on N processors
Benchmark used for performance evaluation on Cheaha, Biowulf, and DMCis the d.dppc which is available from the Gromacs benchmark suite and is available at: http://www.gromacs.org/About_Gromacs/Benchmarks
Information on how to submit Gromacs jobs to Cheaha is available here.
2011 Hardware
Benchmark data for running Gromacs on Cheaha will be developed leveraging the benchmark foundation of the NIH's Biowulf cluster Gromacs testing suite combined with local work flow characteristics.
2007 Hardware and Gromacs 3.x
Note: The Gromacs 3.x code base was severely limited in spanning multiple compute nodes. The limit for 1GigE network fabrics was 4 nodes. The following performance data is provided for historical reference only and does not reflect performance of the Gromacs 4.x code base currently install on Cheaha.
Two identical 4 CPU Gromacs runs and the jobs spread out as follows based on current queue load (the new nodes are using Infiniband, the old TCP for message passing):
Dell Blades: 4 cpu job running on 4 compute nodes
Job ID: 71566 Submitted: 14:11:40 Completed: 17:06:03 Wall Clock: 02:54:23
NODE (s) Real (s) (%)
Time: 10462.000 10462.000 100.0
2h54:22
(Mnbf/s) (GFlops) (ns/day) (hour/ns)
Performance: 238.044 16.164 4.129 5.812
Verari: 4 cpu job running on 2 compute nodes
Job ID: 71567 Submitted: 14:11:44 Completed: 23:13:01 Wall Clock: 09:01:17
NODE (s) Real (s) (%)
Time: 32473.000 32473.000 100.0
9h01:13
(Mnbf/s) (GFlops) (ns/day) (hour/ns)
Performance: 76.705 5.208 1.330 18.040