diff --git a/src/runtime/machine_view.cc b/src/runtime/machine_view.cc
index dadece7691..408a87ca8d 100644
--- a/src/runtime/machine_view.cc
+++ b/src/runtime/machine_view.cc
@@ -1,4 +1,5 @@
 #include "flexflow/machine_view.h"
+#include "flexflow/utils/hash_utils.h"
 
 namespace FlexFlow {
 
@@ -47,13 +48,13 @@ size_t MachineView::num_parts() const {
 }
 
 size_t MachineView::hash() const {
-  size_t ret = 17;
-  ret = ret * 31 + std::hash<int>()(device_type);
-  ret = ret * 31 + std::hash<int>()(ndims);
-  ret = ret * 31 + std::hash<int>()(start_device_id);
+  size_t ret = 0;
+  hash_combine(ret, device_type);
+  hash_combine(ret, ndims);
+  hash_combine(ret, start_device_id);
   for (int i = 0; i < ndims; i++) {
-    ret = ret * 31 + std::hash<int>()(dim[i]);
-    ret = ret * 31 + std::hash<int>()(stride[i]);
+    hash_combine(ret, dim[i]);
+    hash_combine(ret, stride[i]);
   }
   return ret;
 }
@@ -116,12 +117,12 @@ MachineResource::MachineResource(FFConfig const &config)
       available_gpus_per_node(config.workersPerNode) {}
 
 size_t MachineResource::hash() const {
-  size_t ret = 17;
-  ret = ret * 31 + std::hash<int>()(num_nodes);
-  ret = ret * 31 + std::hash<int>()(available_gpus_per_node);
-  ret = ret * 31 + std::hash<int>()(available_cpus_per_node);
-  ret = ret * 31 + std::hash<int>()(start_gpu_id);
-  ret = ret * 31 + std::hash<int>()(start_cpu_id);
+  size_t ret = 0;
+  hash_combine(ret, num_nodes);
+  hash_combine(ret, available_gpus_per_node);
+  hash_combine(ret, available_cpus_per_node);
+  hash_combine(ret, start_gpu_id);
+  hash_combine(ret, start_cpu_id);
   return ret;
 }
 
@@ -132,4 +133,4 @@ size_t hash<FlexFlow::MachineView>::operator()(
     FlexFlow::MachineView const &mv) const {
   return mv.hash();
 }
-}; // namespace std
\ No newline at end of file
+}; // namespace std
diff --git a/src/runtime/parallel_tensor.cc b/src/runtime/parallel_tensor.cc
index 202983e8f0..7dc6c52442 100644
--- a/src/runtime/parallel_tensor.cc
+++ b/src/runtime/parallel_tensor.cc
@@ -449,13 +449,14 @@ bool ParallelTensorBase::get_output_sub_tensor(ParallelConfig const &pc,
 }
 
 size_t ParallelTensorBase::get_owner_independent_hash() const {
-  size_t hash = 17 * 31 + std::hash<int>()((int)data_type);
-  hash = hash * 31 + std::hash<int>()((int)sync_type);
-  hash = hash * 31 + std::hash<int>()(num_dims);
+  size_t hash = 0;
+  hash_combine(hash, static_cast<int>(data_type));
+  hash_combine(hash, static_cast<int>(sync_type));
+  hash_combine(hash, num_dims);
   for (int i = 0; i < num_dims; i++) {
-    hash = hash * 31 + std::hash<int>()(dims[i].size);
-    hash = hash * 31 + std::hash<int>()(dims[i].degree);
-    hash = hash * 31 + std::hash<int>()(dims[i].parallel_idx);
+    hash_combine(hash, dims[i].size);
+    hash_combine(hash, dims[i].degree);
+    hash_combine(hash, dims[i].parallel_idx);
   }
   return hash;
 }
diff --git a/src/runtime/simulator.cc b/src/runtime/simulator.cc
index b71af0d47e..6a7f88cfb6 100644
--- a/src/runtime/simulator.cc
+++ b/src/runtime/simulator.cc
@@ -315,8 +315,9 @@ SimTask *TaskManager::new_comm_task(std::string const &name,
 SimTask *TaskManager::new_forward_task(Op const *op, int idx) {
   SimTask *task = new_task();
   task->type = SimTask::TASK_FORWARD;
-  size_t hash = 17 * 31 + (size_t)(op);
-  hash = hash * 31 + std::hash<int>()(idx);
+  size_t hash = 0;
+  hash_combine(hash, (size_t)op);
+  hash_combine(hash, idx);
   hash_to_forward_task[hash] = task;
   task->name = op->name;
   return task;
@@ -325,23 +326,26 @@ SimTask *TaskManager::new_forward_task(Op const *op, int idx) {
 SimTask *TaskManager::new_backward_task(Op const *op, int idx) {
   SimTask *task = new_task();
   task->type = SimTask::TASK_BACKWARD;
-  size_t hash = 17 * 31 + (size_t)(op);
-  hash = hash * 31 + std::hash<int>()(idx);
+  size_t hash = 0;
+  hash_combine(hash, (size_t)op);
+  hash_combine(hash, idx);
   hash_to_backward_task[hash] = task;
   task->name = op->name;
   return task;
 }
 
 SimTask *TaskManager::get_forward_task(Op const *op, int idx) {
-  size_t hash = 17 * 31 + (size_t)(op);
-  hash = hash * 31 + std::hash<int>()(idx);
+  size_t hash = 0;
+  hash_combine(hash, (size_t)op);
+  hash_combine(hash, idx);
   assert(hash_to_forward_task.find(hash) != hash_to_forward_task.end());
   return hash_to_forward_task[hash];
 }
 
 SimTask *TaskManager::get_backward_task(Op const *op, int idx) {
-  size_t hash = 17 * 31 + (size_t)(op);
-  hash = hash * 31 + std::hash<int>()(idx);
+  size_t hash = 0;
+  hash_combine(hash, (size_t)op);
+  hash_combine(hash, idx);
   assert(hash_to_backward_task.find(hash) != hash_to_backward_task.end());
   return hash_to_backward_task[hash];
 }
@@ -535,11 +539,12 @@ CostMetrics Simulator::measure_operator_cost(Op const *op,
     return this->strict_hash_to_operator_cost.at(key);
   }
 
-  size_t hash = 17 * 31 + op->get_untyped_params_hash();
-  hash = hash * 31 + std::hash<int>()(mv.device_type);
-  hash = hash * 31 + std::hash<int>()(mv.ndims);
+  size_t hash = 0;
+  hash_combine(hash, op->get_untyped_params_hash());
+  hash_combine(hash, mv.device_type);
+  hash_combine(hash, mv.ndims);
   for (int i = 0; i < mv.ndims; i++) {
-    hash = hash * 31 + std::hash<int>()(mv.dim[i]);
+    hash_combine(hash, mv.dim[i]);
   }
   std::unordered_map<size_t, CostMetrics>::const_iterator iter =
       hash_to_operator_cost.find(hash);