start with 400G analysis work

This commit is contained in:
Silas Oettinghaus
2026-07-20 10:22:11 +02:00
parent cae81c0dae
commit 125d8508ca
43 changed files with 4089 additions and 123 deletions

View File

@@ -0,0 +1,361 @@
% === 400G DSP settings ===
dsp_options = struct();
dsp_options.mode = "run_id";
dsp_options.recipe = @dsp_400g_recipe;
dsp_options.append_to_db = false;
% dsp_options.append_mpi_reduction_db = false;
dsp_options.start_occurence = 1;
dsp_options.max_occurences = 1;
dsp_options.debug_plots = false;
dsp_options.database_type = "mysql";
dsp_options.dataBase = "labor_highspeed";
if ismac
dsp_options.storage_path = "/Volumes/media/labdata/sioe_labor";
else
dsp_options.storage_path = "W:\labdata\sioe_labor";
end
dsp_options.server = "192.168.178.192";
dsp_options.port = 3306;
dsp_options.user = "silas";
dsp_options.password = "silas";
db = DBHandler("dataBase", [dsp_options.dataBase], ...
"type", dsp_options.database_type, ...
"server", dsp_options.server, ...
"user", dsp_options.user, ...
"password", dsp_options.password);
%% Select runs
maxRunIds = 1; % keep small until the recipe settings are settled
fp = QueryFilter();
fp.where('Runs','fiber_length','EQUALS', 10);
fp.where('Runs','wavelength','EQUALS', 1310);
fp.where('Runs','bitrate','EQUALS', 330e9);
fp.where('Runs','pam_level','EQUALS', 4);
fp.where('Runs','rop_attenuation','EQUALS', 0);
fp.where('Runs','is_mpi','EQUALS', 0);
fp.where('Runs', 'db_mode','EQUALS', 2);
fields = db.getTableFieldNames('Runs');
[dataTable, query] = db.queryDB(fp, fields);
disp(query);
dataTable = sortrows(dataTable, {'bitrate', 'run_id'});
% dataTable = dataTable(1:maxRunIds, :);
run_ids = dataTable.run_id(:).';
if isempty(run_ids)
error("investigate_400g_algorithms:MissingRunIds", ...
"No 400G runs match the current filters.");
end
fprintf("Selected %d run_id(s): %s\n", numel(run_ids), mat2str(run_ids));
%% Parameter sweep
dsp_options.userParameters = struct();
dsp_options.userParameters.run_ml_mlse_db = true;
dsp_options.userParameters.run_mlse_db = true;
% Enable/disable equalizer branches.
% dsp_options.userParameters.run_ffe = false;
% dsp_options.userParameters.run_vnle = false;
% dsp_options.userParameters.run_dfe = false;
% dsp_options.userParameters.run_vnle_mlse = true;
% dsp_options.userParameters.run_dbtgt = true;
% Examples for parameter loops. DataStorage expands every vector-valued field.
% dsp_options.userParameters.len_tr = 4096*2;
% dsp_options.userParameters.pf_ncoeffs = 1;
% dsp_options.userParameters.decoding_mode = [db_decoder.memoryless,db_decoder.sequencedetection];
% dsp_options.userParameters.pf_ncoeffs = [1, 2, 3];
% dsp_options.userParameters.mu_dc = [0, 1e-5, 1e-4];
% dsp_options.userParameters.run_ml_mlse_db = [false, true];
% dsp_options.userParameters.run_mlse_db = [false, true];
wh = DataStorage(dsp_options.userParameters);
n_realizations = (dsp_options.max_occurences - dsp_options.start_occurence + 1);
n_userparams = prod(wh.dim);
n_run_ids = numel(run_ids);
parallel_jobs = n_userparams * n_run_ids;
queried_jobs = n_realizations * n_userparams * n_run_ids;
fprintf("-> [ %d run_id(s) x %d userParam combination(s) = %d job(s) ] x %d realizations = %d total jobs \n", ...
n_run_ids, n_userparams, parallel_jobs, n_realizations, queried_jobs);
%% Run
[results, wh] = submitJobs(run_ids, dsp_options, processingMode.serial, ...
"wh", wh, ...
"waitbar", true);
%% Quick result overview
printBerSummary(wh);
plotBerVsBitrateQuick(wh, dataTable);
function printBerSummary(wh)
storageNames = fieldnames(wh.sto);
if isempty(storageNames)
fprintf("No non-empty recipe outputs were stored.\n");
return
end
fprintf("\nBER summary by stored package:\n");
for storageIdx = 1:numel(storageNames)
storageName = storageNames{storageIdx};
values = wh.sto.(storageName)(:).';
berValues = extractBerValues(values);
if isempty(berValues)
fprintf(" %-18s no BER values\n", storageName);
else
fprintf(" %-18s min %.3e | median %.3e | n %d\n", ...
storageName, min(berValues), median(berValues), numel(berValues));
end
end
end
function berValues = extractBerValues(values)
berValues = [];
for valueIdx = 1:numel(values)
packageCell = values{valueIdx};
if isempty(packageCell)
continue
end
if ~iscell(packageCell)
packageCell = {packageCell};
end
for packageIdx = 1:numel(packageCell)
package = packageCell{packageIdx};
if isstruct(package) && isfield(package, "metrics")
metrics = package.metrics;
if isprop(metrics, "BER")
berValues(end+1) = metrics.BER; %#ok<AGROW>
elseif isstruct(metrics) && isfield(metrics, "BER")
berValues(end+1) = metrics.BER; %#ok<AGROW>
end
end
end
end
berValues = berValues(isfinite(berValues));
end
function plotBerVsBitrateQuick(wh, dataTable)
plotData = buildQuickBerTable(wh, dataTable);
if isempty(plotData)
fprintf("No BER values available for quick BER-vs-bitrate plot.\n");
return
end
storageNames = unique(plotData.storage_name, "stable");
decodingModes = [db_decoder.memoryless, db_decoder.sequencedetection];
berMetrics = ["BER", "BER_precoded"];
lineStyles = ["-", ":"];
rawMarkers = [".", "x"];
markers = ["o", "square", "diamond", "^", "v", ">"];
fig = figure(402); clf;
ax = axes(fig); hold(ax, "on");
for storageIdx = 1:numel(storageNames)
storageName = storageNames(storageIdx);
for modeIdx = 1:numel(decodingModes)
decodingMode = decodingModes(modeIdx);
for metricIdx = 1:numel(berMetrics)
metricName = berMetrics(metricIdx);
rowMask = plotData.storage_name == storageName & ...
plotData.decoding_mode == decodingMode & ...
plotData.metric_name == metricName;
if ~any(rowMask)
continue
end
modeData = sortrows(plotData(rowMask, :), "bitrate_Gbps");
summaryData = groupsummary(modeData, "bitrate_Gbps", "median", "BER");
summaryData = sortrows(summaryData, "bitrate_Gbps");
color = quickPlotColor(modeIdx);
marker = markers(1 + mod(storageIdx - 1, numel(markers)));
label = sprintf("%s, %s, %s", storageName, ...
decodingModeLabel(decodingMode), metricName);
scatter(ax, modeData.bitrate_Gbps, modeData.BER, ...
12, ...
"Marker", rawMarkers(metricIdx), ...
"MarkerEdgeColor", color, ...
"MarkerEdgeAlpha", 0.25, ...
"HandleVisibility", "off");
plot(ax, summaryData.bitrate_Gbps, summaryData.median_BER, ...
"LineStyle", lineStyles(metricIdx), ...
"Marker", marker, ...
"MarkerSize", 5, ...
"LineWidth", 1.4, ...
"Color", color, ...
"DisplayName", label);
end
end
end
yline(ax, [2.2e-4, 4.85e-3, 2e-2], ...
"LineWidth", 1, ...
"LineStyle", "--", ...
"Color", [0.25 0.25 0.25], ...
"HandleVisibility", "off");
xlabel(ax, "Bitrate [Gb/s]");
ylabel(ax, "BER");
title(ax, "Quick BER vs bitrate");
set(ax, "YScale", "log");
grid(ax, "on");
box(ax, "on");
legend(ax, "Location", "best", "Interpreter", "none");
if exist("beautifyBERplot", "file")
beautifyBERplot("logscale", true, "setcolors", false, ...
"setmarkers", false, "changemarkers", false);
end
end
function plotData = buildQuickBerTable(wh, dataTable)
storageNames = fieldnames(wh.sto);
if isempty(storageNames)
plotData = table();
return
end
runIds = dataTable.run_id(:);
bitrates = dataTable.bitrate(:);
storageCol = strings(0, 1);
runIdCol = zeros(0, 1);
bitrateCol = zeros(0, 1);
decodingCol = db_decoder.empty(0, 1);
metricCol = strings(0, 1);
berCol = zeros(0, 1);
for storageIdx = 1:numel(storageNames)
storageName = storageNames{storageIdx};
storageValues = wh.sto.(storageName);
for linIdx = 1:numel(storageValues)
[phys, storedValue] = wh.getPhysAndValueByLinIndex(storageName, linIdx);
metricRows = extractBerMetricRows({storedValue});
if isempty(metricRows) || ~isfield(phys, "decoding_mode")
continue
end
runId = resolveRunId(phys, runIds);
bitrate = resolveBitrate(runId, runIds, bitrates);
if ~isfinite(bitrate)
continue
end
nRows = height(metricRows);
storageCol(end+1:end+nRows, 1) = string(storageName);
runIdCol(end+1:end+nRows, 1) = double(runId);
bitrateCol(end+1:end+nRows, 1) = double(bitrate);
decodingCol(end+1:end+nRows, 1) = phys.decoding_mode;
metricCol(end+1:end+nRows, 1) = metricRows.metric_name;
berCol(end+1:end+nRows, 1) = metricRows.BER;
end
end
plotData = table(storageCol, runIdCol, bitrateCol, decodingCol, metricCol, berCol, ...
'VariableNames', ["storage_name", "run_id", "bitrate", ...
"decoding_mode", "metric_name", "BER"]);
if ~isempty(plotData)
plotData = plotData(isfinite(plotData.BER) & plotData.BER > 0, :);
plotData.bitrate_Gbps = plotData.bitrate .* 1e-9;
end
end
function metricRows = extractBerMetricRows(values)
metricNames = strings(0, 1);
berValues = zeros(0, 1);
requestedMetrics = ["BER", "BER_precoded"];
for valueIdx = 1:numel(values)
packageCell = values{valueIdx};
if isempty(packageCell)
continue
end
if ~iscell(packageCell)
packageCell = {packageCell};
end
for packageIdx = 1:numel(packageCell)
package = packageCell{packageIdx};
if ~isstruct(package) || ~isfield(package, "metrics")
continue
end
metrics = package.metrics;
for metricIdx = 1:numel(requestedMetrics)
metricName = requestedMetrics(metricIdx);
value = readMetricValue(metrics, metricName);
if isfinite(value)
metricNames(end+1, 1) = metricName; %#ok<AGROW>
berValues(end+1, 1) = value; %#ok<AGROW>
end
end
end
end
metricRows = table(metricNames, berValues, ...
'VariableNames', ["metric_name", "BER"]);
end
function value = readMetricValue(metrics, metricName)
value = NaN;
fieldName = char(metricName);
if isstruct(metrics) && isfield(metrics, fieldName)
value = metrics.(fieldName);
elseif isobject(metrics) && isprop(metrics, fieldName)
value = metrics.(fieldName);
end
end
function runId = resolveRunId(phys, runIds)
if isfield(phys, "run_id")
runId = phys.run_id;
else
runId = runIds(1);
end
end
function bitrate = resolveBitrate(runId, runIds, bitrates)
rowIdx = find(double(runIds) == double(runId), 1, "first");
if isempty(rowIdx)
bitrate = NaN;
else
bitrate = bitrates(rowIdx);
end
end
function color = quickPlotColor(modeIdx)
colors = [ ...
0.1059 0.6196 0.4667; ...
0.8510 0.3725 0.0078];
color = colors(1 + mod(modeIdx - 1, size(colors, 1)), :);
end
function label = decodingModeLabel(decodingMode)
switch decodingMode
case db_decoder.memoryless
label = "memoryless";
case db_decoder.sequencedetection
label = "sequence detection";
otherwise
label = string(decodingMode);
end
end