diff --git a/fundamentals/ggml/src/sched.c b/fundamentals/ggml/src/sched.c
index c3a802f..9089086 100644
--- a/fundamentals/ggml/src/sched.c
+++ b/fundamentals/ggml/src/sched.c
@@ -13,7 +13,7 @@
  *
  */
 int main(int argc, char **argv) {
-    printf("GGML conv_2d example\n\n");
+    printf("GGML ggml_backend_sched example\n\n");
 
     struct ggml_init_params params = {
         .mem_size   = 16*1024*1024,
@@ -22,6 +22,7 @@ int main(int argc, char **argv) {
     };
     struct ggml_context* ctx = ggml_init(params);
 
+    // Tensors for the first graph:
     struct ggml_tensor* a = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 1);
     ggml_set_input(a);
     ggml_set_name(a, "a");
@@ -35,23 +36,16 @@ int main(int argc, char **argv) {
     struct ggml_tensor* mul = ggml_mul(ctx, a, b);
     ggml_set_name(mul, "mul");
 
-    struct ggml_cgraph* c_graph = ggml_new_graph(ctx);
-    ggml_build_forward_expand(c_graph, mul);
+    struct ggml_cgraph* g1 = ggml_new_graph(ctx);
+    ggml_build_forward_expand(g1, mul);
+
 
     ggml_backend_t cpu_backend = ggml_backend_init_by_name("CPU", NULL);
     ggml_backend_t backends[] = {cpu_backend};
-
-    // Get buffer types
     ggml_backend_buffer_type_t buffer_types[] = {
         ggml_backend_get_default_buffer_type(cpu_backend)
     };
-
-    printf("CPU buffer type: %s\n", ggml_backend_buft_name(buffer_types[0]));
-
-    size_t graph_size = ggml_graph_size(c_graph);
-    printf("Graph size: %ld\n", graph_size);
-    size_t graph_nodes = ggml_graph_n_nodes(c_graph);
-    printf("Graph nodes: %ld\n", graph_nodes);
+    size_t graph_size = ggml_graph_size(g1);
     ggml_backend_sched_t sched = ggml_backend_sched_new(backends, buffer_types, 1, graph_size, false);
     if (!sched) {
         fprintf(stderr, "Failed to create scheduler\n");
@@ -59,29 +53,30 @@ int main(int argc, char **argv) {
         return 1;
     }
     
-    if (!ggml_backend_sched_alloc_graph(sched, c_graph)) {
+    if (!ggml_backend_sched_alloc_graph(sched, g1)) {
         fprintf(stderr, "Failed to allocate graph\n");
         ggml_backend_sched_free(sched);
         ggml_backend_free(cpu_backend);
         return 1;
     }
 
+    // Set tensor data for first graph:
     ggml_backend_tensor_set(a, a_data, 0, ggml_nbytes(a));
-    printf("a: %.2f\n", a_data[0]);
     ggml_backend_tensor_set(b, b_data, 0, ggml_nbytes(b));
+    printf("a: %.2f\n", a_data[0]);
     printf("b: %.2f\n", b_data[0]);
 
-    ggml_backend_sched_graph_compute(sched, c_graph);
+    ggml_backend_sched_graph_compute(sched, g1);
 
     printf("\nresult:\n");
-    float* mul_data = (float*)mul->data;
+    float* mul_data = (float*) mul->data;
     for (int i = 0; i < ggml_nelements(mul); i++) {
         printf("%.2f ", mul_data[i]);
     }
     printf("\n");
 
     {
-        struct ggml_tensor * tensor = ggml_graph_get_tensor(c_graph, "a");
+        struct ggml_tensor * tensor = ggml_graph_get_tensor(g1, "a");
         float buf[1];
         ggml_backend_t backend = ggml_backend_sched_get_tensor_backend(sched, tensor);
         printf("Tensor type: %s\n", ggml_type_name(tensor->type));
@@ -92,7 +87,7 @@ int main(int argc, char **argv) {
     }
 
     {
-        struct ggml_tensor * tensor = ggml_graph_get_tensor(c_graph, "b");
+        struct ggml_tensor * tensor = ggml_graph_get_tensor(g1, "b");
         float buf[1];
         ggml_backend_t backend = ggml_backend_sched_get_tensor_backend(sched, tensor);
         ggml_backend_tensor_get_async(backend, tensor, buf, 0, sizeof(buf));
@@ -100,6 +95,55 @@ int main(int argc, char **argv) {
         printf("b: %f\n", buf[0]);
     }
 
+
+    // Tensors for the second graph:
+    struct ggml_tensor* a2 = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 1);
+    ggml_set_input(a2);
+    ggml_set_name(a2, "a2");
+    float a2_data[] = {4};
+
+    struct ggml_tensor* b2 = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 1);
+    ggml_set_input(b2);
+    ggml_set_name(b2, "b");
+    float b2_data[] = {5};
+
+    struct ggml_tensor* c = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, 1);
+    ggml_set_input(c);
+    ggml_set_name(c, "c");
+    float c_data[] = {3};
+
+    struct ggml_tensor* ab = ggml_mul(ctx, a2, b2);
+    struct ggml_tensor* result = ggml_mul(ctx, c, ab);
+    ggml_set_name(result, "result");
+
+    struct ggml_cgraph* g2 = ggml_new_graph(ctx);
+    ggml_build_forward_expand(g2, result);
+
+    if (!ggml_backend_sched_alloc_graph(sched, g2)) {
+        fprintf(stderr, "Failed to allocate graph 2\n");
+        ggml_backend_sched_free(sched);
+        ggml_backend_free(cpu_backend);
+        return 1;
+    }
+
+    ggml_backend_tensor_set(a2, a2_data, 0, ggml_nbytes(a2));
+    ggml_backend_tensor_set(b2, b2_data, 0, ggml_nbytes(b2));
+    ggml_backend_tensor_set(c,   c_data, 0, ggml_nbytes(c));
+
+    ggml_backend_sched_graph_compute(sched, g2);
+
+    float* result_data = (float*) result->data;
+    printf("result: %.2f \n", result_data[0]);
+
+    {
+        struct ggml_tensor * tensor = ggml_graph_get_tensor(g2, "c");
+        float buf[1];
+        ggml_backend_t backend = ggml_backend_sched_get_tensor_backend(sched, tensor);
+        ggml_backend_tensor_get_async(backend, tensor, buf, 0, sizeof(buf));
+        ggml_backend_sched_synchronize(sched);
+        printf("c: %.2f\n", buf[0]);
+    }
+
     ggml_free(ctx);
     return 0;
 }