def MinExecutionTime(TG, AG, SHM, logging):
"""
:param TG: Task Graph
:param AG: Architecture Graph
:param SHM: System Health Map
:param logging: logging file
:return: (TG, AG)
"""
# this sounds a little stupid because there are no job specific machines...
# we can Add Specific Accelerators or define different run time on different
# PEs so this becomes more interesting...
print("===========================================")
print("STARTING MIN EXECUTION TIME MAPPING")
for TaskToBeMapped in TG.nodes():
ChosenNode = random.choice(
Mapping_Functions.fastest_nodes(AG, SHM, TaskToBeMapped))
TG.node[TaskToBeMapped]['Node'] = ChosenNode
AG.node[ChosenNode]['PE'].MappedTasks.append(TaskToBeMapped)
AG.node[ChosenNode]['PE'].Utilization += TG.node[TaskToBeMapped][
'WCET']
NodeSpeedDown = 1 + ((100.0 - SHM.node[ChosenNode]['NodeSpeed']) / 100)
TaskExecutionOnNode = TG.node[TaskToBeMapped]['WCET'] * NodeSpeedDown
CompletionOnNode = TG.node[TaskToBeMapped][
'Release'] + TaskExecutionOnNode
Scheduling_Functions_Nodes.Add_TG_TaskToNode(
TG, AG, TaskToBeMapped, ChosenNode,
TG.node[TaskToBeMapped]['Release'], CompletionOnNode, logging)
print("\tTASK " + str(TaskToBeMapped) + " MAPPED ON NODE: " +
str(ChosenNode))
print("MIN EXECUTION TIME MAPPING FINISHED...")
Scheduling_Reports.report_mapped_tasks(AG, logging)
return TG, AG
def Min_Min_Mapping(TG, AG, NoCRG, SHM, logging):
"""
:param TG: Task Graph
:param AG: Architecture Graph
:param NoCRG: NoC Routing Graph
:param SHM: System Health Map
:param logging: logging file
:return: (TG, AG)
"""
# this function finds the task with the smallest WCET and
# maps it on the machine that can offer smallest completion time...
# this means that the mapping algorithm has to take into account the mapping
# of the edges of the task graph on the links.
# Note:: this is a heuristic for independent tasks... so we are not going to
# schedule any link
# Note 2:: This heuristic is not taking task ciriticality into account...
print("===========================================")
print("STARTING MIN-MIN MAPPING")
ShortestTasks = Mapping_Functions.unmapped_task_with_smallest_wcet(
TG, logging)
while len(ShortestTasks) > 0:
TaskToBeMapped = ShortestTasks.pop()
# map the task on the Node that yields smallest Completion time
CandidateNodes = Mapping_Functions.nodes_with_smallest_ct(
AG, TG, SHM, TaskToBeMapped)
print("\tCANDIDATE NODES FOR MAPPING: " + str(CandidateNodes))
if len(CandidateNodes) > 0:
ChosenNode = random.choice(CandidateNodes)
print("\t\tMAPPING TASK " + str(TaskToBeMapped) +
" WITH RELEASE: " + str(TG.node[TaskToBeMapped]['Release']) +
" ---> NODE: " + str(ChosenNode))
TG.node[TaskToBeMapped]['Node'] = ChosenNode
AG.node[ChosenNode]['PE'].MappedTasks.append(TaskToBeMapped)
AG.node[ChosenNode]['PE'].Utilization += TG.node[TaskToBeMapped][
'WCET']
NodeSpeedDown = 1 + (
(100.0 - SHM.node[ChosenNode]['NodeSpeed']) / 100)
TaskExecutionOnNode = TG.node[TaskToBeMapped][
'WCET'] * NodeSpeedDown
CompletionOnNode = TG.node[TaskToBeMapped][
'Release'] + TaskExecutionOnNode
Scheduling_Functions_Nodes.Add_TG_TaskToNode(
TG, AG, TaskToBeMapped, ChosenNode,
TG.node[TaskToBeMapped]['Release'], CompletionOnNode, logging)
if len(ShortestTasks) == 0:
ShortestTasks = Mapping_Functions.unmapped_task_with_smallest_wcet(
TG, logging)
print("MIN-MIN MAPPING FINISHED...")
Scheduling_Reports.report_mapped_tasks(AG, logging)
return TG, AG
def MinimumCompletionTime(TG, AG, SHM, logging):
"""
:param TG: Task Graph
:param AG: Architecture Graph
:param SHM: System Health Map
:param logging: logging File
:return: (TG, AG)
"""
# The difference with Min Min or Max Min is that we don't add priorities to
# tasks based on their WCET but we randomly choose a task and schedule it...
# Note :: This heuristic is not taking task ciriticality into account...
print("===========================================")
print("STARTING MIN COMPLETION TIME MAPPING")
for TaskToBeMapped in TG.nodes():
ChosenNode = random.choice(
Mapping_Functions.nodes_with_smallest_ct(AG, TG, SHM,
TaskToBeMapped))
TG.node[TaskToBeMapped]['Node'] = ChosenNode
AG.node[ChosenNode]['PE'].MappedTasks.append(TaskToBeMapped)
AG.node[ChosenNode]['PE'].Utilization += TG.node[TaskToBeMapped][
'WCET']
NodeSpeedDown = 1 + ((100.0 - SHM.node[ChosenNode]['NodeSpeed']) / 100)
TaskExecutionOnNode = TG.node[TaskToBeMapped]['WCET'] * NodeSpeedDown
CompletionOnNode = TG.node[TaskToBeMapped][
'Release'] + TaskExecutionOnNode
Scheduling_Functions_Nodes.Add_TG_TaskToNode(
TG, AG, TaskToBeMapped, ChosenNode,
TG.node[TaskToBeMapped]['Release'], CompletionOnNode, logging)
print("\tTASK " + str(TaskToBeMapped) + " MAPPED ON NODE: " +
str(ChosenNode))
print("MIN COMPLETION TIME MAPPING FINISHED...")
Scheduling_Reports.report_mapped_tasks(AG, logging)
return TG, AG
