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diff --git a/src/core/helpers/MemoryHelpers.h b/src/core/helpers/MemoryHelpers.h
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+/*
+ * Copyright (c) 2021 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef SRC_COMMON_MEMORY_HELPERS_H
+#define SRC_COMMON_MEMORY_HELPERS_H
+
+#include "arm_compute/core/experimental/Types.h"
+#include "arm_compute/core/ITensorPack.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/runtime/MemoryGroup.h"
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+namespace arm_compute
+{
+inline int offset_int_vec(int offset)
+{
+    return ACL_INT_VEC + offset;
+}
+
+template <typename TensorType>
+struct WorkspaceDataElement
+{
+    int                          slot{-1};
+    experimental::MemoryLifetime lifetime{experimental::MemoryLifetime::Temporary};
+    std::unique_ptr<TensorType>  tensor{nullptr};
+};
+
+template <typename TensorType>
+using WorkspaceData = std::vector<WorkspaceDataElement<TensorType>>;
+
+template <typename TensorType>
+WorkspaceData<TensorType>
+manage_workspace(const experimental::MemoryRequirements &mem_reqs, MemoryGroup &mgroup, ITensorPack &run_pack)
+{
+    ITensorPack dummy_pack = ITensorPack();
+    return manage_workspace<TensorType>(mem_reqs, mgroup, run_pack, dummy_pack);
+}
+
+template <typename TensorType>
+WorkspaceData<TensorType> manage_workspace(const experimental::MemoryRequirements &mem_reqs,
+                                           MemoryGroup                            &mgroup,
+                                           ITensorPack                            &run_pack,
+                                           ITensorPack                            &prep_pack)
+{
+    WorkspaceData<TensorType> workspace_memory;
+    for (const auto &req : mem_reqs)
+    {
+        if (req.size == 0)
+        {
+            continue;
+        }
+
+        const auto aux_info = TensorInfo{TensorShape(req.size), 1, DataType::U8};
+        workspace_memory.emplace_back(
+            WorkspaceDataElement<TensorType>{req.slot, req.lifetime, std::make_unique<TensorType>()});
+
+        auto aux_tensor = workspace_memory.back().tensor.get();
+        ARM_COMPUTE_ERROR_ON_NULLPTR(aux_tensor);
+        aux_tensor->allocator()->init(aux_info, req.alignment);
+
+        if (req.lifetime == experimental::MemoryLifetime::Temporary)
+        {
+            mgroup.manage(aux_tensor);
+        }
+        else
+        {
+            prep_pack.add_tensor(req.slot, aux_tensor);
+        }
+        run_pack.add_tensor(req.slot, aux_tensor);
+    }
+
+    for (auto &mem : workspace_memory)
+    {
+        auto tensor = mem.tensor.get();
+        tensor->allocator()->allocate();
+    }
+
+    return workspace_memory;
+}
+
+template <typename TensorType>
+void release_prepare_tensors(WorkspaceData<TensorType> &workspace, ITensorPack &prep_pack)
+{
+    workspace.erase(std::remove_if(workspace.begin(), workspace.end(),
+                                   [&prep_pack](auto &wk)
+                                   {
+                                       const bool to_erase = wk.lifetime == experimental::MemoryLifetime::Prepare;
+                                       if (to_erase)
+                                       {
+                                           prep_pack.remove_tensor(wk.slot);
+                                       }
+                                       return to_erase;
+                                   }),
+                    workspace.end());
+}
+
+/** Utility function to release tensors with lifetime marked as Prepare */
+template <typename TensorType>
+void release_temporaries(const experimental::MemoryRequirements &mem_reqs, WorkspaceData<TensorType> &workspace)
+{
+    for (auto &ws : workspace)
+    {
+        const int slot = ws.slot;
+        for (auto &m : mem_reqs)
+        {
+            if (m.slot == slot && m.lifetime == experimental::MemoryLifetime::Prepare)
+            {
+                auto tensor = ws.tensor.get();
+                tensor->allocator()->free();
+                break;
+            }
+        }
+    }
+}
+} // namespace arm_compute
+#endif /* SRC_COMMON_MEMORY_HELPERS_H */