Final MPI Calculations here
This commit is contained in:
Silas Oettinghaus
@@ -66,9 +66,12 @@ if run_conventional_ffe
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"plot_mu_optimization", options.debug_plots, ...
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"save_debug", eq_save_debug);
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storageName = "conventional_ffe";
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[ffe_results,equalized_signal] = runFfe(eq_ffe, "Conventional FFE", ...
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Scpe_sig, Symbols, Tx_bits, options);
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output.conventional_ffe = ffe_results;
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ffe_results = attachMpiReductionConfig(ffe_results, eq_ffe, storageName, ...
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"plain_ffe", "baseline", block_update);
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output.(char(storageName)) = ffe_results;
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if plot_output_signals
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plotEqSignals(equalized_signal,Symbols,options,400,-1);
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@@ -85,7 +88,7 @@ if run_a2_tracked_levels
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"len_tr", eq_len_tr, ...
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"epochs_tr", eq_epochs_tr, ...
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"mu_tr", eq_mu_tr, ...
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"dd_mode", false, ...
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"dd_mode", true, ...
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"epochs_dd", eq_epochs_dd, ...
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"mu_dd", 0.012, ...
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"dc_smoothing_a2", 1, ...
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@@ -94,9 +97,12 @@ if run_a2_tracked_levels
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"dc_level_weights_a2", [1], ...
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"save_debug", eq_save_debug);
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storageName = "a2_adaptive_levels";
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[ffe_results,equalized_signal] = runFfe(eq_ffe, "A2 tracked levels", ...
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Scpe_sig, Symbols, Tx_bits, options);
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output.a2_adaptive_levels = ffe_results;
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ffe_results = attachMpiReductionConfig(ffe_results, eq_ffe, storageName, ...
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"a2_tracked_levels", "tracked_levels", block_update);
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output.(char(storageName)) = ffe_results;
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if plot_output_signals
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plotEqSignals(equalized_signal,Symbols,options,410,-1);
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@@ -122,9 +128,12 @@ if run_a2_residual
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"dc_level_weights_a2", [0.6], ...
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"save_debug", eq_save_debug, "optmize_mus",0);
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storageName = "a2_residual";
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[ffe_results,equalized_signal] = runFfe(eq_ffe, "A2 residual", ...
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Scpe_sig, Symbols, Tx_bits, options);
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output.a2_residual = ffe_results;
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ffe_results = attachMpiReductionConfig(ffe_results, eq_ffe, storageName, ...
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"a2_residual", "residual_correction", block_update);
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output.(char(storageName)) = ffe_results;
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if plot_output_signals
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plotEqSignals(equalized_signal,Symbols,options,420,-1);
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@@ -149,9 +158,12 @@ if run_a1
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"dc_avg_update_blocklength_a1", block_update, ...
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"save_debug", eq_save_debug);
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storageName = "a1_ff_dc_avg";
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[ffe_results,equalized_signal] = runFfe(eq_ffe, "A1", ...
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Scpe_sig, Symbols, Tx_bits, options);
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output.a1_ff_dc_avg = ffe_results;
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ffe_results = attachMpiReductionConfig(ffe_results, eq_ffe, storageName, ...
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"a1_moving_average", "ff_dc_avg", block_update);
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output.(char(storageName)) = ffe_results;
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if plot_output_signals
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plotEqSignals(equalized_signal,Symbols,options,430,-1);
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@@ -176,12 +188,18 @@ if run_tracking_adaptive
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"dc_tracking_persistence_gain", 0, ...
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"dc_tracking_buffer_len", block_update, ...
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"optmize_mus", false, ...
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"optimize_dc_tracking_params", true, ...
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"dc_tracking_optimization_len", 2^15, ...
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"dc_tracking_optimization_max_evals", 20, ...
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"plot_mu_optimization", options.debug_plots, ...
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"save_debug", eq_save_debug);
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storageName = "dc_tracking";
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[ffe_results,equalized_signal] = runFfe(eq_ffe, "DC tracking adaptive", ...
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Scpe_sig, Symbols, Tx_bits, options);
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output.dc_tracking = ffe_results;
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ffe_results = attachMpiReductionConfig(ffe_results, eq_ffe, storageName, ...
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"dc_tracking", "adaptive", block_update);
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output.(char(storageName)) = ffe_results;
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if plot_output_signals
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plotEqSignals(equalized_signal,Symbols,options,450,-1);
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@@ -200,6 +218,60 @@ function [ffe_results,equalized_signal] = runFfe(eq_ffe,description,Scpe_sig,Sym
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ffe_results.metrics.print("description",resultDescription(description,options));
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end
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function ffe_results = attachMpiReductionConfig(ffe_results, eq_ffe, storageName, ...
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algorithm, algorithmVariant, block_update)
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ffe_results.mpi_reduction_config = struct( ...
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"storage_name", char(storageName), ...
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"algorithm", char(algorithm), ...
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"algorithm_variant", char(algorithmVariant), ...
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"eq_class", class(eq_ffe), ...
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"params", collectMpiReductionParams(eq_ffe, block_update));
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end
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function params = collectMpiReductionParams(eq_ffe, block_update)
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params = struct();
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params.block_update = block_update;
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whitelistedProps = [ ...
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"sps", ...
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"order", ...
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"decide", ...
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"adaption_technique", ...
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"len_tr", ...
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"epochs_tr", ...
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"mu_tr", ...
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"dd_mode", ...
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"epochs_dd", ...
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"mu_dd", ...
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"optmize_mus", ...
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"plot_mu_optimization", ...
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"save_debug", ...
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"dc_smoothing_a1", ...
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"dc_avg_bufferlength_a1", ...
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"dc_avg_update_blocklength_a1", ...
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"dc_smoothing_a2", ...
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"dc_level_avg_bufferlength_a2", ...
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"dc_level_update_blocklength_a2", ...
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"dc_level_weights_a2", ...
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"dc_tracking_mu", ...
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"dc_tracking_adaptive_enabled", ...
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"dc_tracking_persistence_gain", ...
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"dc_tracking_buffer_len", ...
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"dc_tracking_mu_eff_max", ...
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"optimize_dc_tracking_params", ...
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"dc_tracking_optimization_len", ...
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"dc_tracking_optimization_max_evals", ...
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"dc_tracking_optimization_delay_weight", ...
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"dc_tracking_optimization_smoothing_len"];
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for propIdx = 1:numel(whitelistedProps)
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propName = char(whitelistedProps(propIdx));
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if isprop(eq_ffe, propName)
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params.(propName) = eq_ffe.(propName);
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end
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end
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end
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function description = resultDescription(prefix,options)
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sir = options.dataTable.sir;
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if numel(sir) > 1
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