clear all; close all; clc; rng('shuffle'); parpool(24); tic; N = 128; % number of VNs m = 64; % number of CNs R = 0.5; % code rate name = 'population1.mat'; load(name); % To get started, our initial population (i.e., population 1) contains a set of randomly constructed regular (3,6) LDPC codes pop_index=1; while true %%%%% Population N_pop tic; pop_index = pop_index + 1; name = ['population' num2str(pop_index) '.mat']; all_Hs = population_update(all_Hs,BLERs,R); S=size(all_Hs,1); save('H_matrices.mat'); BLERs = nan(1,S); for H_count = 1:S BLERs(H_count) = compute_BLER( squeeze(all_Hs(H_count,:,:)) , R ); save('status_BLER_Done.mat','H_count'); end timeNeeded = toc; save(name); end。 怎么修改程序

这个程序出现了之前提到的错误，需要修改程序来解决。

你可以尝试修改 parpool 函数的输入参数，将其从原来的 24 改为 8，这样就不会超过本地集群的最大工作线程数了。修改后的程序如下：

clear all; close all; clc; rng('shuffle'); parpool(8); tic; N = 128; % number of VNs m = 64; % number of CNs R = 0.5; % code rate name = 'population1.mat'; load(name); % To get started, our initial population (i.e., population 1) contains a set of randomly constructed regular (3,6) LDPC codes pop_index=1;  while true     %%%%% Population N_pop     tic;     pop_index = pop_index + 1;     name = ['population' num2str(pop_index) '.mat'];     all_Hs = population_update(all_Hs,BLERs,R);     S=size(all_Hs,1);     save('H_matrices.mat');     BLERs = nan(1,S);     for H_count = 1:S         BLERs(H_count) = compute_BLER( squeeze(all_Hs(H_count,:,:)) , R );         save('status_BLER_Done.mat','H_count');     end     timeNeeded = toc;     save(name); end。

请注意，这只是一种可能的解决方案，具体的修改取决于你的集群配置和需要使用的工作线程数。如果你需要使用更多的工作线程，你需要相应地增加集群的 NumWorkers 属性值。