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Operating Systems Linux Inconsistency with parallel run Post 303006476 by Corona688 on Thursday 2nd of November 2017 01:34:49 PM
Old 11-02-2017
Quote:
Originally Posted by arunkumar_mca
Even with that I am seeing the first parallel process is taking less time and the process time increase with the split going on
Once you've maxed out your I/O bandwidth, adding more processes will just make a task slower. How many processes it takes to max out your I/O bandwidth could well be "one". Spinning disks especially lose a lot of bandwidth when split between competing tasks.

Beyond that, it's difficult to say what's happening. We still don't know what you're doing. "Processing" is a fine word but tells us little.
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SLASCL(l)								 )								 SLASCL(l)

NAME
SLASCL - multiplie the M by N real matrix A by the real scalar CTO/CFROM SYNOPSIS
SUBROUTINE SLASCL( TYPE, KL, KU, CFROM, CTO, M, N, A, LDA, INFO ) CHARACTER TYPE INTEGER INFO, KL, KU, LDA, M, N REAL CFROM, CTO REAL A( LDA, * ) PURPOSE
SLASCL multiplies the M by N real matrix A by the real scalar CTO/CFROM. This is done without over/underflow as long as the final result CTO*A(I,J)/CFROM does not over/underflow. TYPE specifies that A may be full, upper triangular, lower triangular, upper Hessenberg, or banded. ARGUMENTS
TYPE (input) CHARACTER*1 TYPE indices the storage type of the input matrix. = 'G': A is a full matrix. = 'L': A is a lower triangular matrix. = 'U': A is an upper triangular matrix. = 'H': A is an upper Hessenberg matrix. = 'B': A is a symmetric band matrix with lower bandwidth KL and upper bandwidth KU and with the only the lower half stored. = 'Q': A is a symmetric band matrix with lower bandwidth KL and upper bandwidth KU and with the only the upper half stored. = 'Z': A is a band matrix with lower bandwidth KL and upper bandwidth KU. KL (input) INTEGER The lower bandwidth of A. Referenced only if TYPE = 'B', KU (input) INTEGER The upper bandwidth of A. Referenced only if TYPE = 'B', CFROM (input) REAL CTO (input) REAL The matrix A is multiplied by CTO/CFROM. A(I,J) is computed without over/underflow if the final result CTO*A(I,J)/CFROM can be represented without over/underflow. CFROM must be nonzero. M (input) INTEGER The number of rows of the matrix A. M >= 0. N (input) INTEGER The number of columns of the matrix A. N >= 0. A (input/output) REAL array, dimension (LDA,M) The matrix to be multiplied by CTO/CFROM. See TYPE for the storage type. LDA (input) INTEGER The leading dimension of the array A. LDA >= max(1,M). INFO (output) INTEGER 0 - successful exit <0 - if INFO = -i, the i-th argument had an illegal value. LAPACK version 3.0 15 June 2000 SLASCL(l)
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