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Gromacs Benchmark

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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.

Contents

Sample Benchmark using Gromacs

Cheaha, DMC, and Biowulf wall clock and efficiency on Gromacs - Benchmark d.dppc

Cheaha, DMC, and Biowulf wall clock and efficiency on Gromacs - Benchmark d.dppc
Processors Cheaha DMC Biowulf IB Biowulf Ethernet
1 1562 (100%) 2848 (100%) 1734 (100%) 2656 (100%)
2 650 (127%) 1256 (113%) 754 (115%) 1039 (128%)
4 332 (124%) 636 (112%) 382 (114%) 508 (131%)
8 181 (114%) 396 (90%) 203 (107%) 294 (113%)
16 97 (106%) 220 (81%) 102 (106%) 200 (83%)
32 44 (117%) 134 (66%) 53 (102 %) 147 (56%)
64 27 (96%) 92 (49%) 28 (97%) NA
128 14 (92 %) NA 17 (80%) NA
256 8 (81%) NA 12 (56%) NA


Bench mark notes

The above benchmarks were run using d.dppc benchmark [1] from Gromacs.

On Cheaha, the second and third generation hardware was used for the above benchmarks. More information about the hardware used on Cheaha is available here.

The data for the NIH-Biowulf benchmarks is available at: http://biowulf.nih.gov/apps/gromacs/bench-4.0.3.html. The Biowulf hardware used for comparison in the e2800 with Infiniband and o2800 with ethernet.

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