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gyacomo/wk/parallel_scaling_old.m
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parallel_scaling_old.m
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%% Strong scaling measurement
% Handwritten results for 256x128, P,J=2,1, Tmax = 20
Results_256_21.np = [ 1, 2, 4, 8, 10, 12];
Results_256_21.time = [2450, 1346, 0680, 0389, 0323, 0307];
% Handwritten results for 512x256, P,J=2,1, Tmax = 5
Results_512_21.np = [ 1, 2, 4, 8, 16, 20, 24];
Results_512_21.time = [3429, 1680, 0842, 0443, 0292, 0322, 0362];
% Handwritten results for 512x256, P,J=3,2, Tmax = 2, mu=0, dt 1e-2?
Results_512_32.np = [ 1, 2, 4, 8, 16, 20, 24];
Results_512_32.time = [4450, 2267, 1136, 0595, 0363, 0323, 0000];
% Handwritten results for 1024x512, P,J=1,1, Tmax = 5 dt = 0.05, mu = 0
Results_1024_11.np = [ 1, 2, 4, 6, 8, 12, 16, 20, 24];
Results_1024_11.time = [1568, 1046, 0490, 0347, 0257, 0221, 0219, 0000, 0000];
% Handwritten results for 1024x512, P,J=2,2, Tmax = 2 dt = 0.05, mu = 0
Results_1024_22.np = [ 1, 2, 4, 6, 8, 10, 12, 16, 20];
Results_1024_22.time = [2391, 1373, 0654, 0457, 0343, 0297, 0274, 0219, 0206];
% Handwritten results for 1024x512, P,J=6,4, Tmax = 2 dt = 0.05, mu = 0
Results_1024_64.np = [ 1, 2, 4, 6, 8, 10, 12, 16, 20, 24];
Results_1024_64.time =[38957,22675,10886, 7424, 5768, 0000, 3904, 2947, 2417,2075];
%
fig = figure;
plot(1:24,1:24,'-k','DisplayName','Ideal')
hold on
% res = Results_256_21;
% plot(res.np,res.time(1)./(res.time),'o--','DisplayName','$256\times128$, $P,J=2,1$');
res = Results_512_21;
plot(res.np,res.time(1)./(res.time),'v-','DisplayName','$512\times256$, $P,J=2,1$');
res = Results_512_32;
plot(res.np,res.time(1)./(res.time),'>-','DisplayName','$512\times256$, $P,J=3,2$');
res = Results_1024_11;
plot(res.np,res.time(1)./(res.time),'o-','DisplayName','$1024\times512$, $P,J=1,1$');
res = Results_1024_22;
plot(res.np,res.time(1)./(res.time),'s-','DisplayName','$1024\times512$, $P,J=2,2$');xlim([1,max(res.np)]);
res = Results_1024_64;
plot(res.np,res.time(1)./(res.time),'d-','DisplayName','$1024\times512$, $P,J=6,4$');xlim([1,max(res.np)]);
xlabel('$N_p$'); ylabel('speedup')
xlim([1,24]); ylim([1,24])
legend('show')
title('Strong scaling')
grid on
FIGNAME = '/home/ahoffman/HeLaZ/results/strong_scaling_old.pdf';
saveas(fig,FIGNAME);
disp(['Figure saved @ : ',FIGNAME])
if 0
%% Weak scaling
% Handwritten results for P,J=2,1, Tmax = 5, dt = 0.01, Nz = Nr
Results_1_64.np = [ 1, 2, 4, 8];
Results_1_64.Nr = [ 64, 90, 128, 180];
Results_1_64.time = [0064, 0074, 0082, 0101];
% Handwritten results for P,J=2,1, Tmax = 5, dt = 0.01, Nz = 128
Results_1_128.np = [ 1, 2, 4, 8, 16];
Results_1_128.Nr = [ 32, 64, 128, 256, 512];
Results_1_128.time = [0032, 0037, 0043, 0049, 0070];
% Handwritten results for Tmax = 5, dt = 0.05, mu = 0, etab =0, Pi=Ji=Pe=Je=1
Results_1_128.np = [ 1, 2, 4, 6, 16];
Results_1_128.N = [ 256, 360, 512, 720, 1024];
Results_1_128.time = [0059, 0072, 0000, 0153, 0070];
%
fig = figure;
plot(Results_1_64.np,Results_1_64.time,'ob','DisplayName','$256\times128$');
hold on
plot(Results_1_64.np,Results_1_64.time(1)*ones(numel(Results_1_64.np)),'--b','DisplayName','Ideal')
plot(Results_1_128.np,Results_1_128.time,'or','DisplayName','$256\times128$');
plot(Results_1_128.np,Results_1_128.time(1)*ones(numel(Results_1_128.np)),'--r','DisplayName','Ideal')
xlim([1,max(res.np)]);
xlabel('$N_p$'); ylabel('CPU time [s]')
legend('show')
title('Weak scaling')
grid on
FIGNAME = '/home/ahoffman/HeLaZ/results/weak_scaling.pdf';
saveas(fig,FIGNAME);
disp(['Figure saved @ : ',FIGNAME])
end
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