DragonFly BSD evaluation
I successfully installed DragonFly BSD on a Tyan S2892. There are however several issues:
1. The kernel only sees 3GB of the 4GB of memory. I think this is a typical i86 desease, which also exists in FreeBSD. I guess to solve this a kernel recompile is required...or the AMD64 version if it would be available in DragonFly BSD
2. The DragonFly BSD kernel apparently only sees one core of the total 4 CPU cores available: two dual core Operon 275 CPUs or the CPU load spreading is simply wrong.
Here is a test that proves this, by running a GNU Octave script (see below) that measures the calculation time.
In the first test I just ran one script, the second time the script was run two times at the same time.
Elapsed time for a 100X100 matrix:
Single run in FreeBSD (AMD64): 74s
Single run in DragonFlyBSD: 66s
Two concurrent runs in FreeBSD (AMD64): 74s for each run
Two concurrent runs in DragonFlyBSD: 132s for each run
FreeBSD is doing what you expect, spread the load, while DragonFlyBSD seems to put to different processes in one core.
clear all runs=3; % (5) cumulate = 0; p = 0; vt = 0; vr = 0; vrt = 0; rvt = 0; RV = 0; j = 0; k = 0; x2 = 0; R = 0; Rxx = 0; Ryy = 0; Rxy = 0; Ryx = 0; Rvmax = 0; f = 0; for i = 1:runs x = abs(randn(100,100)); tic; % Calculation of Escoufier's equivalent vectors p = size(x, 2); vt = [1:p]; % Variables to test vr = ; % Result: ordered variables RV = [1:p]; % Result: correlations for j = 1:p % loop on the variable number Rvmax = 0; for k = 1:(p-j+1) % loop on the variables if j == 1 x2 = [x, x(:, vt(k))]; else x2 = [x, x(:, vr), x(:, vt(k))]; % New table to test end R = corrcoef(x2); % Correlations table Ryy = R(1:p, 1:p); Rxx = R(p+1:p+j, p+1:p+j); Rxy = R(p+1:p+j, 1:p); Ryx = Rxy'; rvt = trace(Ryx*Rxy)/((trace(Ryy^2)*trace(Rxx^2))^0.5); % RV calculation if rvt > Rvmax Rvmax = rvt; % test of RV vrt(j) = vt(k); % temporary held variable end end vr(j) = vrt(j); % Result: variable RV(j) = Rvmax; % Result: correlation f = find(vt~=vr(j)); % identify the held variable vt = vt(f); % reidentify variables to test end timing = toc; cumulate = cumulate + timing; end times(5, 3) = timing; disp(['Escoufier''s method on a 100x100 matrix (mixed)________ (sec): ' num2str(timing)]) clear x; clear p; clear vt; clear vr; clear vrt; clear rvt; clear RV; clear j; clear k; clear x2; clear R; clear Rxx; clear Ryy; clear Rxy; clear Ryx; clear Rvmax; clear f;
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