[epclust.git] / code / src / main.sh

#!/bin/bash
#PBS -l walltime=00:05:00
#PBS -l nodes=2:ppn=8,pmem=1gb
#PBS -oe .output

WORKDIR="/workdir2/auder/edfclust/code"
cd $WORKDIR

rm -f .output

saveLibPath=$LD_LIBRARY_PATH

#TODO: CDS as a module
LD_LIBRARY_PATH=/workdir2/cds/lib:/opt/openmpi/lib:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH

#TODO: externalize (de)serialization, do not make assumptions on "how is data stored" (...)

# ppam args (in case of clustering) = 
#   1: path to binary dataset
#   2: series per processor
#   3: number of clusters
#   4: boolean to randomize series sampling
#   5: type of distance (1 for L1, 2 for L2...)

#TODO: Hybrid MPI+OpenMP
mpirun -np 16 ppam cluster ../data/2009_first10000.bin 300 7 0 1

LD_LIBRARY_PATH=$saveLibPath
export LD_LIBRARY_PATH
Commit	Line	Data
	1	#!/bin/bash
	2	#PBS -l walltime=00:05:00
	3	#PBS -l nodes=2:ppn=8,pmem=1gb
	4	#PBS -oe .output
	5
	6	WORKDIR="/workdir2/auder/edfclust/code"
	7	cd $WORKDIR
	8
	9	rm -f .output
	10
	11	saveLibPath=$LD_LIBRARY_PATH
	12
	13	#TODO: CDS as a module
	14	LD_LIBRARY_PATH=/workdir2/cds/lib:/opt/openmpi/lib:$LD_LIBRARY_PATH
	15	export LD_LIBRARY_PATH
	16
	17	#TODO: externalize (de)serialization, do not make assumptions on "how is data stored" (...)
	18
	19	# ppam args (in case of clustering) =
	20	# 1: path to binary dataset
	21	# 2: series per processor
	22	# 3: number of clusters
	23	# 4: boolean to randomize series sampling
	24	# 5: type of distance (1 for L1, 2 for L2...)
	25
	26	#TODO: Hybrid MPI+OpenMP
	27	mpirun -np 16 ppam cluster ../data/2009_first10000.bin 300 7 0 1
	28
	29	LD_LIBRARY_PATH=$saveLibPath
	30	export LD_LIBRARY_PATH