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macroplacement
Commit aab48da7 by ZhiangWang033
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update FD

parent 11297173
Showing with 593 additions and 12 deletions
CodeElements/FDPlacement/FD.py
...@@ -26,10 +26,10 @@ from visual_placement import VisualPlacement ...@@ -26,10 +26,10 @@ from visual_placement import VisualPlacement
# #
# Check Here !!! # Check Here !!!
# #
#sys.path.append('/home/zf4_projects/DREAMPlace/sakundu/GB/CT/circuit_training') sys.path.append('/home/zf4_projects/DREAMPlace/sakundu/GB/CT/circuit_training')
#sys.path.append('/home/zf4_projects/DREAMPlace/sakundu/GB/CT/') sys.path.append('/home/zf4_projects/DREAMPlace/sakundu/GB/CT/')
sys.path.append('xxxxx/CT/circuit_training') #sys.path.append('xxxxx/CT/circuit_training')
sys.path.append('xxxxx/CT/') #sys.path.append('xxxxx/CT/')
from absl import flags from absl import flags
from circuit_training.grouping import grid_size_selection from circuit_training.grouping import grid_size_selection
...@@ -1018,7 +1018,7 @@ class PBFNetlist: ...@@ -1018,7 +1018,7 @@ class PBFNetlist:
print("cost_wirelength = ", cost_wirelength, "cost_density = ", cost_density, "cost_congestion = ", cost_congestion) print("cost_wirelength = ", cost_wirelength, "cost_density = ", cost_density, "cost_congestion = ", cost_congestion)
return self.w_wirelength * cost_wirelength + self.w_density * cost_density + self.w_congestion * cost_congestion return self.w_wirelength * cost_wirelength + self.w_density * cost_density + self.w_congestion * cost_congestion
def FDPlacer(self, io_factor, num_steps, max_move_distance, attract_factor, repel_factor, debug_mode = True): def FDPlacer(self, io_factor, num_steps, max_move_distance, attract_factor, repel_factor, use_current_loc, debug_mode = True):
# io_factor is a scalar # io_factor is a scalar
# num_steps, max_move_distance, attract_factor, repel_factor are vectors of the same size # num_steps, max_move_distance, attract_factor, repel_factor are vectors of the same size
if (debug_mode == True): if (debug_mode == True):
...@@ -1026,6 +1026,7 @@ class PBFNetlist: ...@@ -1026,6 +1026,7 @@ class PBFNetlist:
print("Start Force-directed Placement") print("Start Force-directed Placement")
print("\n") print("\n")
# initialize # initialize
if (use_current_loc == False):
self.InitSoftMacros() self.InitSoftMacros()
for i in range(len(num_steps)): for i in range(len(num_steps)):
if (debug_mode == True): if (debug_mode == True):
...@@ -1180,7 +1181,7 @@ class PBFNetlist: ...@@ -1180,7 +1181,7 @@ class PBFNetlist:
class FDPlacer: class FDPlacer:
def __init__(self, design_name, run_dir, netlist_file, plc_file, io_factor, num_steps, attract_factor, repel_factor, move_distance_factors): def __init__(self, design_name, run_dir, netlist_file, plc_file, io_factor, num_steps, attract_factor, repel_factor, move_distance_factors, use_init_flag = False):
self.design_name = design_name self.design_name = design_name
self.open_source_flag = False self.open_source_flag = False
self.run_dir = run_dir self.run_dir = run_dir
...@@ -1191,6 +1192,7 @@ class FDPlacer: ...@@ -1191,6 +1192,7 @@ class FDPlacer:
self.attract_factor = attract_factor self.attract_factor = attract_factor
self.repel_factor = repel_factor self.repel_factor = repel_factor
self.move_distance_factors = move_distance_factors self.move_distance_factors = move_distance_factors
self.use_init_flag = use_init_flag
# final plc file # final plc file
self.final_netlist_pbf_file = self.run_dir + "/" + self.design_name + ".pb.txt.final" self.final_netlist_pbf_file = self.run_dir + "/" + self.design_name + ".pb.txt.final"
...@@ -1212,6 +1214,9 @@ class FDPlacer: ...@@ -1212,6 +1214,9 @@ class FDPlacer:
#self.plc.restore_placement(self.temp_plc_file) #self.plc.restore_placement(self.temp_plc_file)
self.plc.set_canvas_size(self.design.canvas_width, self.design.canvas_height) self.plc.set_canvas_size(self.design.canvas_width, self.design.canvas_height)
self.PlotFromPlc(self.open_source_flag)
self.FDPlacer(self.open_source_flag) self.FDPlacer(self.open_source_flag)
self.final_netlist_pbf_file = self.run_dir + "/" + self.design_name + ".pb.txt.final" self.final_netlist_pbf_file = self.run_dir + "/" + self.design_name + ".pb.txt.final"
self.final_plc_file = self.run_dir + "/" + self.design_name + ".plc.final" self.final_plc_file = self.run_dir + "/" + self.design_name + ".plc.final"
...@@ -1275,8 +1280,6 @@ class FDPlacer: ...@@ -1275,8 +1280,6 @@ class FDPlacer:
plt.xlim(lx, ux) plt.xlim(lx, ux)
plt.ylim(ly, uy) plt.ylim(ly, uy)
plt.axis("scaled") plt.axis("scaled")
plt.show()
if (figure_file == None): if (figure_file == None):
plt.show() plt.show()
...@@ -1286,7 +1289,7 @@ class FDPlacer: ...@@ -1286,7 +1289,7 @@ class FDPlacer:
### Call the FD placer in Circuit Training ### Call the FD placer in Circuit Training
def FDPlacer(self, open_source_flag = False): def FDPlacer(self, open_source_flag = False):
# parameter settings from Circuit Training # parameter settings from Circuit Training
use_current_loc = False use_current_loc = self.use_init_flag
move_stdcells = True move_stdcells = True
move_macros = False move_macros = False
log_scale_conns = False log_scale_conns = False
...@@ -1300,7 +1303,7 @@ class FDPlacer: ...@@ -1300,7 +1303,7 @@ class FDPlacer:
max_move_distance = [ f * canvas_size / s max_move_distance = [ f * canvas_size / s
for s, f in zip(num_steps, move_distance_factors)] for s, f in zip(num_steps, move_distance_factors)]
if (open_source_flag == True): if (open_source_flag == True):
self.design.FDPlacer(io_factor , num_steps, max_move_distance, attract_factor, repel_factor) self.design.FDPlacer(io_factor , num_steps, max_move_distance, attract_factor, repel_factor, use_current_loc)
else: else:
self.plc.optimize_stdcells(use_current_loc, move_stdcells, move_macros, self.plc.optimize_stdcells(use_current_loc, move_stdcells, move_macros,
log_scale_conns, use_sizes, io_factor, num_steps, max_move_distance, attract_factor, repel_factor) log_scale_conns, use_sizes, io_factor, num_steps, max_move_distance, attract_factor, repel_factor)
...@@ -1322,17 +1325,32 @@ class FDPlacer: ...@@ -1322,17 +1325,32 @@ class FDPlacer:
self.plc.save_placement(plc_file_name, info[0:-1]) self.plc.save_placement(plc_file_name, info[0:-1])
if __name__ == "__main__": if __name__ == "__main__":
# for simple testcases
design_name = "simple"
run_dir = "./simple_example" # please make sure this dir exists
netlist_file = run_dir + "/" + design_name + ".pb.txt"
plc_file = run_dir + "/" + design_name + ".plc"
io_factor = 0
num_steps = [1]
attract_factor = [0.0]
repel_factor = [1.0]
move_distance_factors = [0.1] # set the max_displacement to 50
use_current_loc = True
placer = FDPlacer(design_name, run_dir, netlist_file, plc_file, io_factor, num_steps, attract_factor, repel_factor, move_distance_factors, use_current_loc)
# for ariane testcases
design_name = "ariane" design_name = "ariane"
run_dir = "./ariane133" # please make sure this dir exists run_dir = "./ariane133" # please make sure this dir exists
netlist_file = run_dir + "/" + design_name + ".pb.txt" netlist_file = run_dir + "/" + design_name + ".pb.txt"
plc_file = run_dir + "/" + design_name + ".plc" plc_file = run_dir + "/" + design_name + ".plc"
io_factor = 1.0 io_factor = 1.0
num_steps = [10, 10, 10] num_steps = [100, 100, 100]
attract_factor = [100, 1.0e-3, 1.0e-5] attract_factor = [100, 1.0e-3, 1.0e-5]
repel_factor = [0, 1.0e6, 1.0e7] repel_factor = [0, 1.0e6, 1.0e7]
move_distance_factors = [1.0, 1.0, 1.0] move_distance_factors = [1.0, 1.0, 1.0]
placer = FDPlacer(design_name, run_dir, netlist_file, plc_file, io_factor, num_steps, attract_factor, repel_factor, move_distance_factors) placer = FDPlacer(design_name, run_dir, netlist_file, plc_file, io_factor, num_steps, attract_factor, repel_factor, move_distance_factors)
CodeElements/FDPlacement/ariane133/ariane.os.pb.txt.final deleted 100644 → 0
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CodeElements/FDPlacement/ariane133/ariane.pb.txt.final deleted 100644 → 0
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CodeElements/FDPlacement/simple_example/simple.os.pb.txt.final 0 → 100644
node {
name: "M0"
attr {
key: "type"
value {
placeholder: "MACRO"
}
}
attr {
key: "height"
value {
f: 50.0
}
}
attr {
key: "orientation"
value {
placeholder: ""N""
}
}
attr {
key: "width"
value {
f: 50.0
}
}
attr {
key: "x"
value {
f: 201.0
}
}
attr {
key: "y"
value {
f: 201.0
}
}
}
node {
name: "Grp_1"
attr {
key: "height"
value {
f: 50.0
}
}
attr {
key: "type"
value {
placeholder: "macro"
}
}
attr {
key: "width"
value {
f: 50.0
}
}
attr {
key: "x"
value {
f: 265.306122
}
}
attr {
key: "y"
value {
f: 265.306122
}
}
}
node {
name: "Grp_2"
attr {
key: "height"
value {
f: 50.0
}
}
attr {
key: "type"
value {
placeholder: "macro"
}
}
attr {
key: "width"
value {
f: 50.0
}
}
attr {
key: "x"
value {
f: 285.0
}
}
attr {
key: "y"
value {
f: 285.0
}
}
}
node {
name: "Grp_3"
attr {
key: "height"
value {
f: 50.0
}
}
attr {
key: "type"
value {
placeholder: "macro"
}
}
attr {
key: "width"
value {
f: 50.0
}
}
attr {
key: "x"
value {
f: 400.0
}
}
attr {
key: "y"
value {
f: 400.0
}
}
}
CodeElements/FDPlacement/simple_example/simple.os.plc.final 0 → 100644
# Placement file for Circuit Training
# Source input file(s) : ./output_ariane_NanGate45/23cols_28rows/g500_ub5_nruns10_c5_r3_v3_rc1/netlist.pb.txt
# This file : ./output_ariane_NanGate45/23cols_28rows/g500_ub5_nruns10_c5_r3_v3_rc1/initial.plc
# Date : 2022-09-20 11:30:06
# Columns : 23 Rows : 28
# Width : 500 Height : 500
# Area : 1506097.566312155
# Wirelength : 3610985.229
# Wirelength cost : 0.0526
# Congestion cost : 0.7721
# Density cost : 0.7209
# Project : circuit_training
# Block : unset_block
# Routes per micron, hor : 11.285 ver : 12.605
# Routes used by macros, hor : 7.143 ver : 8.339
# Smoothing factor : 2
# Overlap threshold : 0.004
#
#
#
# Counts of node types:
# HARD_MACROs : 133
# HARD_MACRO_PINs : 7847
# MACROs : 943
# MACRO_PINs : 19658
# PORTs : 495
# SOFT_MACROs : 810
# SOFT_MACRO_PINs : 11811
# STDCELLs : 0
#
# User comments:
# Original source netlist with standard cells: /home/zf4_projects/DREAMPlace/sakundu/ABK_MP/08162022_flow_scripts/MacroPlacement/Flows/NanGate45/ariane133/run-20220816-035413/flow2_1.3/ariane.pb.txt
# Groups file: ./output_ariane_NanGate45/23cols_28rows/g500_ub5_nruns10_c5_r3_v3_rc1/groups.final
# worst 10 spread
# grp: 744 - spread: 278916.7518893204
# grp: 50 - spread: 268009.6376835485
# grp: 336 - spread: 223800.4868365636
# grp: 535 - spread: 207184.36226282385
# grp: 505 - spread: 197871.97286953646
# grp: 586 - spread: 190713.73374938426
# grp: 756 - spread: 184033.9279079139
# grp: 532 - spread: 173094.29808680012
# grp: 773 - spread: 170707.79035165644
# grp: 347 - spread: 168578.0558490756
#
#
# node_index x y orientation fixed
0 201.0 201.0 "N" 0
1 265.30612244898 265.30612244898 N 0
2 285.0 285.0 N 0
3 400.0 400.0 N 0
CodeElements/FDPlacement/simple_example/simple.pb.txt 0 → 100644
node {
name: "M0"
attr {
key: "height"
value {
f: 50
}
}
attr {
key: "orientation"
value {
placeholder: "N"
}
}
attr {
key: "type"
value {
placeholder: "MACRO"
}
}
attr {
key: "x"
value {
f: 201
}
}
attr {
key: "y"
value {
f: 201
}
}
attr {
key: "width"
value {
f: 50
}
}
}
node {
name: "Grp_1"
attr {
key: "height"
value {
f: 50
}
}
attr {
key: "type"
value {
placeholder: "macro"
}
}
attr {
key: "width"
value {
f: 50
}
}
attr {
key: "x"
value {
f: 250
}
}
attr {
key: "y"
value {
f: 250
}
}
}
node {
name: "Grp_2"
attr {
key: "height"
value {
f: 50
}
}
attr {
key: "type"
value {
placeholder: "macro"
}
}
attr {
key: "width"
value {
f: 50
}
}
attr {
key: "x"
value {
f: 335
}
}
attr {
key: "y"
value {
f: 335
}
}
}
node {
name: "Grp_3"
attr {
key: "height"
value {
f: 50
}
}
attr {
key: "type"
value {
placeholder: "macro"
}
}
attr {
key: "width"
value {
f: 50
}
}
attr {
key: "x"
value {
f: 350
}
}
attr {
key: "y"
value {
f: 350
}
}
}
CodeElements/FDPlacement/simple_example/simple.pb.txt.final 0 → 100644
node {
name: "M0"
attr {
key: "type"
value {
placeholder: "MACRO"
}
}
attr {
key: "height"
value {
f: 50.0
}
}
attr {
key: "orientation"
value {
placeholder: ""N""
}
}
attr {
key: "width"
value {
f: 50.0
}
}
attr {
key: "x"
value {
f: 201.0
}
}
attr {
key: "y"
value {
f: 201.0
}
}
}
node {
name: "Grp_1"
attr {
key: "height"
value {
f: 50.0
}
}
attr {
key: "type"
value {
placeholder: "macro"
}
}
attr {
key: "width"
value {
f: 50.0
}
}
attr {
key: "x"
value {
f: 250.0
}
}
attr {
key: "y"
value {
f: 250.0
}
}
}
node {
name: "Grp_2"
attr {
key: "height"
value {
f: 50.0
}
}
attr {
key: "type"
value {
placeholder: "macro"
}
}
attr {
key: "width"
value {
f: 50.0
}
}
attr {
key: "x"
value {
f: 335.0
}
}
attr {
key: "y"
value {
f: 335.0
}
}
}
node {
name: "Grp_3"
attr {
key: "height"
value {
f: 50.0
}
}
attr {
key: "type"
value {
placeholder: "macro"
}
}
attr {
key: "width"
value {
f: 50.0
}
}
attr {
key: "x"
value {
f: 350.0
}
}
attr {
key: "y"
value {
f: 350.0
}
}
}
CodeElements/FDPlacement/simple_example/simple.plc 0 → 100644
# Placement file for Circuit Training
# Source input file(s) : ./output_ariane_NanGate45/23cols_28rows/g500_ub5_nruns10_c5_r3_v3_rc1/netlist.pb.txt
# This file : ./output_ariane_NanGate45/23cols_28rows/g500_ub5_nruns10_c5_r3_v3_rc1/initial.plc
# Date : 2022-09-20 11:30:06
# Columns : 23 Rows : 28
# Width : 500 Height : 500
# Area : 1506097.566312155
# Wirelength : 3610985.229
# Wirelength cost : 0.0526
# Congestion cost : 0.7721
# Density cost : 0.7209
# Project : circuit_training
# Block : unset_block
# Routes per micron, hor : 11.285 ver : 12.605
# Routes used by macros, hor : 7.143 ver : 8.339
# Smoothing factor : 2
# Overlap threshold : 0.004
#
#
#
# Counts of node types:
# HARD_MACROs : 133
# HARD_MACRO_PINs : 7847
# MACROs : 943
# MACRO_PINs : 19658
# PORTs : 495
# SOFT_MACROs : 810
# SOFT_MACRO_PINs : 11811
# STDCELLs : 0
#
# User comments:
# Original source netlist with standard cells: /home/zf4_projects/DREAMPlace/sakundu/ABK_MP/08162022_flow_scripts/MacroPlacement/Flows/NanGate45/ariane133/run-20220816-035413/flow2_1.3/ariane.pb.txt
# Groups file: ./output_ariane_NanGate45/23cols_28rows/g500_ub5_nruns10_c5_r3_v3_rc1/groups.final
# worst 10 spread
# grp: 744 - spread: 278916.7518893204
# grp: 50 - spread: 268009.6376835485
# grp: 336 - spread: 223800.4868365636
# grp: 535 - spread: 207184.36226282385
# grp: 505 - spread: 197871.97286953646
# grp: 586 - spread: 190713.73374938426
# grp: 756 - spread: 184033.9279079139
# grp: 532 - spread: 173094.29808680012
# grp: 773 - spread: 170707.79035165644
# grp: 347 - spread: 168578.0558490756
#
#
# node_index x y orientation fixed
CodeElements/FDPlacement/simple_example/simple.plc.final 0 → 100644
# Placement file for Circuit Training
# Source input file(s) : ./output_ariane_NanGate45/23cols_28rows/g500_ub5_nruns10_c5_r3_v3_rc1/netlist.pb.txt
# This file : ./output_ariane_NanGate45/23cols_28rows/g500_ub5_nruns10_c5_r3_v3_rc1/initial.plc
# Date : 2022-09-20 11:30:06
# Columns : 23 Rows : 28
# Width : 500 Height : 500
# Area : 1506097.566312155
# Wirelength : 3610985.229
# Wirelength cost : 0.0526
# Congestion cost : 0.7721
# Density cost : 0.7209
# Project : circuit_training
# Block : unset_block
# Routes per micron, hor : 11.285 ver : 12.605
# Routes used by macros, hor : 7.143 ver : 8.339
# Smoothing factor : 2
# Overlap threshold : 0.004
#
#
#
# Counts of node types:
# HARD_MACROs : 133
# HARD_MACRO_PINs : 7847
# MACROs : 943
# MACRO_PINs : 19658
# PORTs : 495
# SOFT_MACROs : 810
# SOFT_MACRO_PINs : 11811
# STDCELLs : 0
#
# User comments:
# Original source netlist with standard cells: /home/zf4_projects/DREAMPlace/sakundu/ABK_MP/08162022_flow_scripts/MacroPlacement/Flows/NanGate45/ariane133/run-20220816-035413/flow2_1.3/ariane.pb.txt
# Groups file: ./output_ariane_NanGate45/23cols_28rows/g500_ub5_nruns10_c5_r3_v3_rc1/groups.final
# worst 10 spread
# grp: 744 - spread: 278916.7518893204
# grp: 50 - spread: 268009.6376835485
# grp: 336 - spread: 223800.4868365636
# grp: 535 - spread: 207184.36226282385
# grp: 505 - spread: 197871.97286953646
# grp: 586 - spread: 190713.73374938426
# grp: 756 - spread: 184033.9279079139
# grp: 532 - spread: 173094.29808680012
# grp: 773 - spread: 170707.79035165644
# grp: 347 - spread: 168578.0558490756
#
#
# node_index x y orientation fixed
0 201 201 N 0
1 250 250 N 0
2 335 335 N 0
3 350 350 N 0
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