Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@ Changelog
* Add support for generating Boresch restraints for absolute binding free energy calculations [#166](https://github.com/OpenBioSim/somd2/pull/166).
* Give alchemical ions their own plain morph lambda schedule so they interpolate correctly under non-standard lambda schedules [#169](https://github.com/OpenBioSim/somd2/pull/169).
* Persist alchemical ion identity across restarts so the same molecule is reused regardless of GCMC state [#172](https://github.com/OpenBioSim/somd2/pull/172).
* Use perisistent `ThreadPoolExector` objects within the main replica exchange dynamics block [#175](https://github.com/OpenBioSim/somd2/pull/175).

[2026.1.0](https://github.com/openbiosim/somd2/compare/2025.1.0...2026.1.0) - Jun 2026
--------------------------------------------------------------------------------------
Expand Down
163 changes: 86 additions & 77 deletions src/somd2/runner/_repex.py
Original file line number Diff line number Diff line change
Expand Up @@ -1084,6 +1084,10 @@ def run(self):
num_batches = ceil(self._config.num_lambda / num_workers)
num_checkpoint_batches = ceil(self._config.num_lambda / num_checkpoint_workers)

# Persistent thread pools, reused across every batch and cycle.
dynamics_executor = ThreadPoolExecutor(max_workers=num_workers)
checkpoint_executor = ThreadPoolExecutor(max_workers=num_checkpoint_workers)

# Create the replica list.
replica_list = list(range(self._config.num_lambda))

Expand Down Expand Up @@ -1134,29 +1138,27 @@ def run(self):
replicas = replica_list[
j * num_checkpoint_workers : (j + 1) * num_checkpoint_workers
]
with ThreadPoolExecutor(
max_workers=num_checkpoint_workers
) as executor:
try:
for index, error in executor.map(
self._checkpoint,
replicas,
repeat(self._lambda_values),
repeat(-1),
repeat(cycles),
):
if error is not None:
msg = (
f"Post-equilibration checkpoint failed for {_lam_sym} = "
f"{self._lambda_values[index]:.5f}:\n{error}"
)
_logger.error(msg)
raise error
except KeyboardInterrupt:
_logger.error(
"Post-equilibration checkpoint cancelled. Exiting."
)
_sys.exit(1)
try:
for index, error in checkpoint_executor.map(
self._checkpoint,
replicas,
repeat(self._lambda_values),
repeat(-1),
repeat(cycles),
):
if error is not None:
msg = (
f"Post-equilibration checkpoint failed for {_lam_sym} = "
f"{self._lambda_values[index]:.5f}:\n{error}"
)
_logger.error(msg)
raise error
except KeyboardInterrupt:
checkpoint_executor.shutdown(wait=False, cancel_futures=True)
_logger.error(
"Post-equilibration checkpoint cancelled. Exiting."
)
_sys.exit(1)

# Current block number.
block = self._start_block
Expand Down Expand Up @@ -1244,26 +1246,26 @@ def run(self):
# oversubscribed by a factor of self._config.oversubscription_factor.
for j in range(num_batches):
replicas = replica_list[j * num_workers : (j + 1) * num_workers]
with ThreadPoolExecutor(max_workers=num_workers) as executor:
try:
for result, index, energies in executor.map(
self._run_block,
replicas,
repeat(self._lambda_values),
repeat(is_gcmc),
repeat(write_gcmc_ghosts),
repeat(is_terminal_flip),
repeat(time_ns),
):
if not result:
_logger.error(
f"Dynamics failed for {_lam_sym} = {self._lambda_values[index]:.5f}: {energies}"
)
raise energies
results.append((index, energies))
except KeyboardInterrupt:
_logger.error("Dynamics cancelled. Exiting.")
_sys.exit(1)
try:
for result, index, energies in dynamics_executor.map(
self._run_block,
replicas,
repeat(self._lambda_values),
repeat(is_gcmc),
repeat(write_gcmc_ghosts),
repeat(is_terminal_flip),
repeat(time_ns),
):
if not result:
_logger.error(
f"Dynamics failed for {_lam_sym} = {self._lambda_values[index]:.5f}: {energies}"
)
raise energies
results.append((index, energies))
except KeyboardInterrupt:
dynamics_executor.shutdown(wait=False, cancel_futures=True)
_logger.error("Dynamics cancelled. Exiting.")
_sys.exit(1)

# Checkpoint.
if is_checkpoint or i == cycles - 1:
Expand All @@ -1280,21 +1282,23 @@ def run(self):
j * num_checkpoint_workers : (j + 1)
* num_checkpoint_workers
]
with ThreadPoolExecutor(max_workers=num_workers) as executor:
try:
for index, error in executor.map(
self._backup_checkpoint,
replicas,
):
if not result:
_logger.error(
f"Backup failed for {_lam_sym} = "
f"{self._lambda_values[index]:.5f}: {error}"
)
raise error
except KeyboardInterrupt:
_logger.error("Backup cancelled. Exiting.")
_sys.exit(1)
try:
for index, error in checkpoint_executor.map(
self._backup_checkpoint,
replicas,
):
if not result:
_logger.error(
f"Backup failed for {_lam_sym} = "
f"{self._lambda_values[index]:.5f}: {error}"
)
raise error
except KeyboardInterrupt:
checkpoint_executor.shutdown(
wait=False, cancel_futures=True
)
_logger.error("Backup cancelled. Exiting.")
_sys.exit(1)

# Now write the new checkpoint files.
for j in range(num_checkpoint_batches):
Expand All @@ -1303,25 +1307,27 @@ def run(self):
j * num_checkpoint_workers : (j + 1)
* num_checkpoint_workers
]
with ThreadPoolExecutor(max_workers=num_workers) as executor:
try:
for index, error in executor.map(
self._checkpoint,
replicas,
repeat(self._lambda_values),
repeat(block),
repeat(num_blocks + int(rem > 0)),
repeat(i == cycles - 1),
):
if error:
_logger.error(
f"Checkpoint failed for {_lam_sym} = "
f"{self._lambda_values[index]:.5f}: {error}"
)
raise error
except KeyboardInterrupt:
_logger.error("Checkpoint cancelled. Exiting.")
_sys.exit(1)
try:
for index, error in checkpoint_executor.map(
self._checkpoint,
replicas,
repeat(self._lambda_values),
repeat(block),
repeat(num_blocks + int(rem > 0)),
repeat(i == cycles - 1),
):
if error:
_logger.error(
f"Checkpoint failed for {_lam_sym} = "
f"{self._lambda_values[index]:.5f}: {error}"
)
raise error
except KeyboardInterrupt:
checkpoint_executor.shutdown(
wait=False, cancel_futures=True
)
_logger.error("Checkpoint cancelled. Exiting.")
_sys.exit(1)

# Assemble an energy matrix from the results.
_logger.info("Assembling energy matrix")
Expand Down Expand Up @@ -1377,6 +1383,9 @@ def run(self):
with open(self._repex_state, "wb") as f:
_pickle.dump(self._dynamics_cache, f)

dynamics_executor.shutdown(wait=True)
checkpoint_executor.shutdown(wait=True)

# Record the end time for the production block.
prod_end = time()

Expand Down
Loading