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Operating Systems Linux Underutilization of Linux memory Post 303044174 by Neo on Sunday 16th of February 2020 06:57:45 AM
Old 02-16-2020
Every system is different depending on the application

MadeInGermany does not have enough information to make a prediction.... accurate predictions require more knowledge than just a "guess" without system knowledge.

No one can make a prediction based on the very little information provided in the original post ( a python app running in a vm.... is very little information..... really)

In fact, I will illustrate this by turning off swap for a day on two different Linux Ubuntu server, one in a VM and one dedicated hardware (see below)
 

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mlib_SignalLPC2LSP_F32(3MLIB)				    mediaLib Library Functions				     mlib_SignalLPC2LSP_F32(3MLIB)

NAME
mlib_SignalLPC2LSP_F32 - convert linear prediction coefficients to line spectral pair coefficients SYNOPSIS
cc [ flag... ] file... -lmlib [ library... ] #include <mlib.h> mlib_status mlib_SignalLPC2LSP_F32(mlib_f32 *lsp, const mlib_f32 *lpc, mlib_s32 order); DESCRIPTION
The mlib_SignalLPC2LSP_F32() function converts linear prediction coefficients to line spectral pair coefficients. The line spectral pair (LPS) coefficients are defined as the roots of the following two polynomials: -(M+1) -1 P(z) = A(z) + z * A(z ) -(M+1) -1 Q(z) = A(z) - z * A(z ) where A(z) is the inverse filter M -i A(z) = 1- SUM a(i) * z i=1 Note that since P(z) is symmetric and Q(z) is antisymmetric all roots of these polynomials are on the unit circle and they alternate each other. P(z) has a root at z = -1 (w = PI) and Q(z) has a root at z = 1 (w = 0). The line spectral frequency (LPF) are the angular frequency of the line spectral pair (LPS) coefficients. q = cos(w) where q is the LPS and w is the LPF. See Fundamentals of Speech Recognition by Lawrence Rabiner and Biing-Hwang Juang, Prentice Hall, 1993. PARAMETERS
The function takes the following arguments: lsp The line spectral pair coefficients. lpc The linear prediction coefficients. order The order of the linear prediction filter. RETURN VALUES
The function returns MLIB_SUCCESS if successful. Otherwise it returns MLIB_FAILURE. ATTRIBUTES
See attributes(5) for descriptions of the following attributes: +-----------------------------+-----------------------------+ | ATTRIBUTE TYPE | ATTRIBUTE VALUE | +-----------------------------+-----------------------------+ |Interface Stability |Evolving | +-----------------------------+-----------------------------+ |MT-Level |MT-Safe | +-----------------------------+-----------------------------+ SEE ALSO
mlib_SignalLSP2LPC_F32(3MLIB), attributes(5) SunOS 5.10 10 Nov 2004 mlib_SignalLPC2LSP_F32(3MLIB)
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