diff --git a/benchmarks/execute-move.hpp b/benchmarks/execute-move.hpp
index 67650ec..56df6b0 100644
--- a/benchmarks/execute-move.hpp
+++ b/benchmarks/execute-move.hpp
@@ -10,6 +10,8 @@
 
 #include <dml/dml.hpp>
 
+#include "statuscode-tostring.hpp"
+
 struct ThreadArgs {
     // thread placement / engine selection
     uint8_t numa_node;
@@ -18,24 +20,54 @@ struct ThreadArgs {
     size_t size;
     uint8_t nnode_src;
     uint8_t nnode_dst;
+    // repetition
+    uint32_t rep_count;
+    bool batch_submit;
+    uint32_t batch_size;
+    uint32_t barrier_after_n_operations;
     // thread output
     dml::status_code status;
-    std::chrono::microseconds duration;
+    // average run duration in microseconds
+    double combined_duration;
+    double submit_duration;
+    double complete_duration;
+    // completed iterations
+    uint32_t rep_completed;
     // set by execution
     sem_t* sig;
 };
 
+double avg(const std::vector<double>& v) {
+    int n = 0;
+    double mean = 0.0;
+
+    for (const auto x : v) {
+        const double delta = static_cast<double>(x) - mean;
+        mean += delta / ++n;
+    }
+
+    return mean;
+}
+
+#define LOG_CODE_INFO "Location: " << __FILE__ << "@" << __LINE__ << "::" << __FUNCTION__ << std::endl
+#define LOG_ERR { pthread_t t = pthread_self(); std::cerr << "--- BEGIN ERROR MSG ---" << std::endl << "Physical: [Node " << args->numa_node << " | Core " << args->core << " | Thread " << t << "]" << std::endl; } std::cerr << LOG_CODE_INFO
+#define CHECK_STATUS(status,msg) { if (status != dml::status_code::ok) { LOG_ERR << "Status Code: " << StatusCodeToString(status) << std::endl << #msg << std::endl; args->status = status; return nullptr; }}
+
 template <typename path>
 void* thread_function(void* argp) {
     ThreadArgs* args = reinterpret_cast<ThreadArgs*>(argp);
 
+    std::vector<double> submission_durations;
+    std::vector<double> completion_durations;
+    std::vector<double> combined_durations;
+
     // set numa node and core affinity of the current thread
     numa_run_on_node(args->numa_node);
     cpu_set_t cpuset;
     CPU_ZERO(&cpuset);
     CPU_SET(args->core, &cpuset);
     if (pthread_setaffinity_np(pthread_self(), sizeof(cpu_set_t), &cpuset) != 0) {
-        std::cerr << "Error setting affinity for thread designated to core " << args->core << " on node " << args->numa_node << std::endl;
+        LOG_ERR << "Error setting affinity for thread" << std::endl;
         return nullptr;
     }
     
@@ -45,31 +77,83 @@ void* thread_function(void* argp) {
     dml::data_view srcv = dml::make_view(reinterpret_cast<uint8_t*>(src), args->size);
     dml::data_view dstv = dml::make_view(reinterpret_cast<uint8_t*>(dst), args->size);
 
+    args->status = dml::status_code::ok;
+    args->rep_completed = 0;
+
     // wait for specified signal so that all operations start at the same time
     sem_wait(args->sig);
-    
-    const auto st = std::chrono::high_resolution_clock::now();
 
-    // we use the asynchronous submit-routine even though this is not required
-    // here, however the project later on will only use async operation
-    auto handler = dml::submit<path>(dml::mem_move, srcv, dstv);
-    auto result = handler.get();
+    for (uint32_t i = 0; i < args->rep_count; i++) {
+        if (args->batch_submit) {
+            uint32_t opcount = args->batch_size;
+
+            if (args->barrier_after_n_operations > 0) {
+                opcount += opcount / args->barrier_after_n_operations;
+            }
+
+            const auto st = std::chrono::high_resolution_clock::now();
+
+            auto sequence = dml::sequence(opcount, std::allocator<dml::byte_t>());
+
+            for (uint32_t j = 0; j < args->batch_size; j++) {
+                const auto status = sequence.add(dml::mem_copy, srcv, dstv);
+
+                if (j % args->barrier_after_n_operations == 0) {
+                    sequence.add(dml::nop);
+                }
+            }
 
-    const auto et = std::chrono::high_resolution_clock::now();
+            auto handler = dml::submit<path>(dml::batch, sequence);
+
+            const auto se = std::chrono::high_resolution_clock::now();
+
+            auto result = handler.get();
+
+            const auto et = std::chrono::high_resolution_clock::now();
+
+            submission_durations.emplace_back(std::chrono::duration_cast<std::chrono::microseconds>(se - st).count());
+            completion_durations.emplace_back(std::chrono::duration_cast<std::chrono::microseconds>(et - se).count());
+            combined_durations.emplace_back(std::chrono::duration_cast<std::chrono::microseconds>(et - st).count());
+        }
+        else {
+            const auto st = std::chrono::high_resolution_clock::now();
+
+            // we use the asynchronous submit-routine even though this is not required
+            // here, however the project later on will only use async operation and
+            // therefore this behaviour should be benchmarked
+            auto handler = dml::submit<path>(dml::mem_copy, srcv, dstv);
+
+            const auto se = std::chrono::high_resolution_clock::now();
+
+            auto result = handler.get();
+
+            const auto et = std::chrono::high_resolution_clock::now();
+
+            const dml::status_code status = result.status;
+            CHECK_STATUS(status, "Operation completed with an Error!");
+
+            submission_durations.emplace_back(std::chrono::duration_cast<std::chrono::microseconds>(se - st).count());
+            completion_durations.emplace_back(std::chrono::duration_cast<std::chrono::microseconds>(et - se).count());
+            combined_durations.emplace_back(std::chrono::duration_cast<std::chrono::microseconds>(et - st).count());
+        }
+
+        args->rep_completed++;
+    }
 
     // free the allocated memory regions on the selected nodes
     numa_free(src, args->size);
     numa_free(dst, args->size);
 
-    args->duration = std::chrono::duration_cast<std::chrono::microseconds>(et - st);
-    args->status = result.status;
+    args->combined_duration = avg(combined_durations);
+    args->complete_duration = avg(completion_durations);
+    args->submit_duration = avg(submission_durations);
     args->sig = nullptr;
 
     return nullptr;
 }
 
 template <typename path>
-void execute_mem_move(std::vector<ThreadArgs>& args) {
+void execute_dml_memcpy(std::vector<ThreadArgs>& args) {
     sem_t sem;
     std::vector<pthread_t> threads;