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Computer Engineering
B-ASIC - Better ASIC Toolbox
Commits
bc0326a1
Commit
bc0326a1
authored
1 month ago
by
Simon Bjurek
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seems like its working for execution time 1
parent
823bb689
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1 merge request
!461
Finalize earliest deadline scheduler
Pipeline
#154936
passed
1 month ago
Stage: test
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b_asic/scheduler.py
+76
-46
76 additions, 46 deletions
b_asic/scheduler.py
with
76 additions
and
46 deletions
b_asic/scheduler.py
+
76
−
46
View file @
bc0326a1
from
abc
import
ABC
,
abstractmethod
from
collections
import
defaultdict
from
typing
import
TYPE_CHECKING
,
Optional
,
cast
from
b_asic.port
import
OutputPort
from
b_asic.special_operations
import
Delay
,
Output
from
b_asic.special_operations
import
Delay
,
Input
,
Output
from
b_asic.types
import
TypeName
if
TYPE_CHECKING
:
...
...
@@ -21,7 +22,7 @@ class Scheduler(ABC):
"""
pass
def
_handle_outputs
(
self
,
schedule
,
non_schedulable_ops
)
->
None
:
def
_handle_outputs
(
self
,
schedule
,
non_schedulable_ops
=
set
()
)
->
None
:
for
output
in
schedule
.
sfg
.
find_by_type_name
(
Output
.
type_name
()):
output
=
cast
(
Output
,
output
)
source_port
=
cast
(
OutputPort
,
output
.
inputs
[
0
].
signals
[
0
].
source
)
...
...
@@ -165,8 +166,11 @@ class EarliestDeadlineScheduler(Scheduler):
resource is used.
"""
def
__init__
(
self
,
max_resources
:
Optional
[
dict
[
TypeName
,
int
]])
->
None
:
self
.
_max_resources
=
max_resources
def
__init__
(
self
,
max_resources
:
Optional
[
dict
[
TypeName
,
int
]]
=
None
)
->
None
:
if
max_resources
:
self
.
_max_resources
=
max_resources
else
:
self
.
_max_resources
=
{}
def
apply_scheduling
(
self
,
schedule
:
"
Schedule
"
)
->
None
:
"""
Applies the scheduling algorithm on the given Schedule.
...
...
@@ -176,50 +180,76 @@ class EarliestDeadlineScheduler(Scheduler):
schedule : Schedule
Schedule to apply the scheduling algorithm on.
"""
# ACT BASED ON THE NUMBER OF PEs!
prec_list
=
schedule
.
sfg
.
get_precedence_list
()
if
len
(
prec_list
)
<
2
:
raise
ValueError
(
"
Empty signal flow graph cannot be scheduled.
"
)
# handle the first set in precedence graph (input and delays)
non_schedulable_ops
=
set
()
for
outport
in
prec_list
[
0
]:
operation
=
outport
.
operation
if
operation
.
type_name
()
==
Delay
.
type_name
():
non_schedulable_ops
.
add
(
operation
.
graph_id
)
elif
operation
.
graph_id
not
in
schedule
.
start_times
:
schedule
.
start_times
[
operation
.
graph_id
]
=
0
# TODO: Take the execution time into consideration!
ALAPScheduler
().
apply_scheduling
(
schedule
)
# move all inputs ASAP to ensure correct operation
for
input_op
in
schedule
.
sfg
.
find_by_type_name
(
Input
.
type_name
()):
input_op
=
cast
(
Input
,
input_op
)
schedule
.
move_operation_asap
(
input_op
.
graph_id
)
remaining_ops
=
set
(
schedule
.
start_times
.
keys
())
remaining_ops
=
{
elem
for
elem
in
remaining_ops
if
not
elem
.
startswith
(
"
in
"
)}
remaining_resources
=
self
.
_max_resources
.
copy
()
current_time
=
0
sorted_outports
=
sorted
(
prec_list
[
1
],
key
=
lambda
outport
:
outport
.
operation
.
latency
)
for
outport
in
sorted_outports
:
op
=
outport
.
operation
schedule
.
start_times
[
op
.
graph_id
]
=
current_time
current_time
+=
1
while
remaining_ops
:
best_candidate
=
self
.
_find_best_candidate
(
schedule
,
remaining_ops
,
remaining_resources
,
current_time
)
if
not
best_candidate
:
current_time
+=
1
remaining_resources
=
self
.
_max_resources
.
copy
()
continue
# update remaining resources
if
best_candidate
.
type_name
()
in
remaining_resources
:
remaining_resources
[
best_candidate
.
type_name
()]
-=
1
remaining_ops
.
remove
(
best_candidate
.
graph_id
)
schedule
.
start_times
[
best_candidate
.
graph_id
]
=
current_time
# move all inputs and outputs ALAP now that operations have moved
for
input_op
in
schedule
.
sfg
.
find_by_type_name
(
Input
.
type_name
()):
input_op
=
cast
(
Input
,
input_op
)
schedule
.
move_operation_alap
(
input_op
.
graph_id
)
self
.
_handle_outputs
(
schedule
)
@staticmethod
def
_find_best_candidate
(
schedule
,
remaining_ops
,
remaining_resources
,
current_time
):
# precompute source end times for faster checks
sfg
=
schedule
.
sfg
source_end_times
=
defaultdict
(
float
)
for
op_id
in
remaining_ops
:
operation
=
sfg
.
find_by_id
(
op_id
)
for
op_input
in
operation
.
inputs
:
source_op
=
op_input
.
signals
[
0
].
source
.
operation
if
not
isinstance
(
source_op
,
Delay
):
source_end_times
[
op_id
]
=
max
(
source_end_times
[
op_id
],
schedule
.
start_times
[
source_op
.
graph_id
]
+
source_op
.
latency
,
)
for
outports
in
prec_list
[
2
:]:
current_time
-=
1
for
outport
in
outports
:
op
=
outport
.
operation
candidates
=
[]
while
not
candidates
:
current_time
+=
1
op_is_ready_to_be_scheduled
=
True
for
op_input
in
op
.
inputs
:
source_op
=
op_input
.
signals
[
0
].
source
.
operation
source_op_time
=
schedule
.
start_times
[
source_op
.
graph_id
]
source_end_time
=
source_op_time
+
source_op
.
latency
if
source_end_time
>
current_time
:
op_is_ready_to_be_scheduled
=
False
if
op_is_ready_to_be_scheduled
:
candidates
.
append
(
op
)
sorted_candidates
=
sorted
(
candidates
,
key
=
lambda
candidate
:
candidate
.
latency
)
# schedule the best candidate to current time
schedule
.
start_times
[
sorted_candidates
[
0
].
graph_id
]
=
current_time
best_candidate
=
None
best_deadline
=
float
(
'
inf
'
)
for
op_id
in
remaining_ops
:
operation
=
sfg
.
find_by_id
(
op_id
)
self
.
_handle_outputs
(
schedule
,
non_schedulable_ops
)
schedule
.
remove_delays
()
# check resource constraints
if
operation
.
type_name
()
in
remaining_resources
:
if
remaining_resources
[
operation
.
type_name
()]
==
0
:
continue
# check if all inputs are available
if
source_end_times
[
op_id
]
<=
current_time
:
operation_deadline
=
schedule
.
start_times
[
op_id
]
+
operation
.
latency
if
operation_deadline
<
best_deadline
:
best_candidate
=
operation
best_deadline
=
operation_deadline
return
best_candidate
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