Parallelize this section of code using omp // TODO: parallelize the computations for each gene. for (int gene_index = 0; gene_index < genes.num_genes; ++gene_index) { // Compute this gene's TF int* gene_TF = (int*)calloc(NUM_TETRANUCS, sizeof(int)); process_tetranucs(genes, gene_TF, gene_index); // Add this gene's TF to the running total TF for (int t = 0; t < NUM_TETRANUCS; ++t) TF[t] += gene_TF[t]; free(gene_TF); } // 2) Get the averages of each TF (as a double!) double* average_TF = (double*)malloc(NUM_TETRANUCS * sizeof(double)); for (int t = 0; t < NUM_TETRANUCS; ++t) average_TF[t] = (double)TF[t] / (double)genes.num_genes; a) omp critical b) omp atomic c) omp lock NOTE: Do not use any other kind of parallelization technique beside omp.

1. Parallelize this section of code using omp
// TODO: parallelize the computations for each gene.
for (int gene_index = 0; gene_index < genes.num_genes; ++gene_index) {
// Compute this gene's TF
int* gene_TF = (int*)calloc(NUM_TETRANUCS, sizeof(int));
process_tetranucs(genes, gene_TF, gene_index);
// Add this gene's TF to the running total TF
for (int t = 0; t < NUM_TETRANUCS; ++t)
TF[t] += gene_TF[t];
free(gene_TF);
}
// 2) Get the averages of each TF (as a double!)
double* average_TF = (double*)malloc(NUM_TETRANUCS * sizeof(double));
for (int t = 0; t < NUM_TETRANUCS; ++t)
average_TF[t] = (double)TF[t] / (double)genes.num_genes;
a) omp critical
b) omp atomic
c) omp lock
NOTE: Do not use any other kind of parallelization technique beside omp