adding a DMM execution model class

energysim/execution/dmm_cluster.py

@@ -0,0 +1,31 @@
+from tabulate import tabulate
+
+
+class DistributedMemoryCluster:
+    def __init__(self, name: str):
+        self.name = name
+        self.compute = 0
+        self.memory_read = 0
+        self.memory_write = 0
+        self.network_read = 0
+        self.network_write = 0
+        self.storage_read = 0
+        self.storage_write = 0
+
+
+    def report(self):
+        print('Name: ' + self.name)
+        total_compute = self.compute
+        total_memory = self.memory_read + self.memory_write
+        total_network = self.network_read + self.network_write
+        total_storage = self.storage_read + self.storage_write
+        total_energy = total_compute + total_memory + total_network + total_storage
+
+        data = [["event", "pJ", "%"],
+                ["Compute", total_compute, 100 * total_compute/total_energy],
+                ["Memory", total_memory, 100 * total_memory/total_energy],
+                ["Network", total_network, 100 * total_network / total_energy],
+                ["Storage", total_storage, 100 * total_storage / total_energy]
+                ]
+
+        print(tabulate(data, headers="firstrow", floatfmt=".1f"))