def apply_msrp_bounds(all_tasks, num_cpus):
for t in all_tasks:
if t.partition == None:
t.partition= num_cpus + 1
model = get_cpp_model(all_tasks, True)
res = cpp.msrp_bounds(model, num_cpus)
for i,t in enumerate(all_tasks):
t.blocked = res.get_local_blocking(i)
t.cost += res.get_remote_blocking(i)
t.remote_blocking = res.get_remote_blocking(i)
def apply_msrp_bounds(all_tasks, num_cpus):
for t in all_tasks:
if t.partition == None:
t.partition = num_cpus + 1
model = get_cpp_model(all_tasks, True)
res = cpp.msrp_bounds(model, num_cpus)
for i, t in enumerate(all_tasks):
t.blocked = res.get_local_blocking(i)
t.cost += res.get_remote_blocking(i)
t.remote_blocking = res.get_remote_blocking(i)