Hi everybody,

I have a dataset of 347899 protein sequences which I want to compare 
to each other (all-against-all blast). I have access to the compute 
cluster which is running Score (version 5.8.4.r3) as an mpi 
environment and have 25 nodes, each with 4 cores and 8 GB of RAM.

We have the latest version of mpiblast installed. I started a mpiblast 
job, (for comparing 347899 sequences against each other), on 44 
processors using the following commandline:


mpiformatdb -i 36FungalJGIanigNbcin_M40 --nfrags=42 -p 
T --skip-reorder

mpisub 44 /usr/local/mpiblast_tool/bin/mpiblast -p blastp -d 
36FungalJGIanigNbcin_M40 -i 
/users/zzalssn4/scratch/mpiblast/work/36FungalJGIanigNbcin_M40 -m 8 -e 
1e-5 -o 
/users/zzalssn4/scratch/mpiblast/work/36FungalJGIanigNbcin_M40.outF42C44

This job was running for about 12 days and only 22% or 10122202 
matches of the total 47342483 known significant matches were received, 
still all the processes running to the full (>90% usage) on all 
specified processors.


The same all-against-all blast job using standard blast on 36 
processors, where I made 36 chunks of the dataset and blasted each 
chunk against the complete dataset on a single processor, got 
completed in less than 24hrs, resulting in 47342483 significant 
sequence matches.

May be I am missing something in running mpiblast properly, so here I 
need some help in whether I could improve the running time of mpiblast 
on the size of the datasets mentioned above.

Hope to hear from you soon.

Regards,

Intikhab


--
Dr. Intikhab Alam

Research Associate
School of Computer Science
University of Manchester
LF7, Kilburn Building,
Oxford Road Manchester, M13 9PL
United Kingdom
http://www.cs.man.ac.uk/~ialam



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