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ASE - Remote Procedure Call

Project description

ASE - Remote Procedure Call

A lightweight RPC framework for serving ASE (Atomic Simulation Environment) calculators over ZeroMQ.

This package is primarily designed to run MLIP calculators in dedicated python environments to handle dependency conflicts or for multi-GPU distribution.

Quick Start

  1. Start the broker:
aserpc broker
  1. Check available calculators:
aserpc list
# or
aserpc list --registry tmp/registry.py:CALCULATORS

A registry file (or module via pck.registry:CALCULATORS) example:

# tmp/registry.py
from ase.calculators.lj import LennardJones

# Registry: name -> calculator factory
CALCULATORS = {
    "LJ": LennardJones,
}
  1. Start a worker:
aserpc worker LJ # optional --registry tmp/registry.py:CALCULATORS
  1. Use the remote calculator:
from aserpc import RemoteCalculator
from ase.build import molecule

water = molecule("H2O")
water.calc = RemoteCalculator("LJ")
energy = water.get_potential_energy()

Calculator Discovery

Workers discover calculators through Python entry point providers. This allows packages to register calculators that aserpc can automatically find.

Provider Functions

Register a provider function that returns calculator metadata:

# pyproject.toml
[project.entry-points."aserpc.calculators"]
mypackage = "mypackage.aserpc:get_calculators"
# mypackage/aserpc.py
import importlib.util

def get_calculators() -> dict[str, dict]:
    """Return metadata for available calculators.

    Each entry is: {"factory": "module:class", "args": [...], "kwargs": {...}}
    Use importlib.util.find_spec() to check availability without importing.
    """
    calcs = {}

    # Simple calculators (always available with ASE)
    calcs["LJ"] = {"factory": "ase.calculators.lj:LennardJones"}
    calcs["EMT"] = {"factory": "ase.calculators.emt:EMT"}

    # Check if mace is installed (without importing torch!)
    if importlib.util.find_spec("mace") is not None:
        calcs["mace_mp"] = {
            "factory": "mace.calculators:mace_mp",
            "kwargs": {"model": "medium"},
        }

    # Check if chgnet is installed
    if importlib.util.find_spec("chgnet") is not None:
        calcs["chgnet"] = {"factory": "chgnet.model:CHGNetCalculator"}

    return calcs

After installing the package, the new calculators should show up on aserpc list and can be started as workers:

aserpc worker LJ
aserpc worker mace_mp

Using a Registry File

Alternatively, specify a registry file with calculator factories:

# registry.py
from ase.calculators.lj import LennardJones

CALCULATORS = {
    "LJ": LennardJones,
}
aserpc worker LJ --registry registry.py:CALCULATORS

Listing Available Calculators

List all discoverable calculators:

# From entry points
aserpc list

# From a registry file
aserpc list --registry registry.py:CALCULATORS

# From a running broker
aserpc list --broker ipc:///tmp/aserpc/frontend.ipc

Architecture

flowchart TD

Client <--> Broker <--> Worker1[Worker 1]
Broker <--> Worker2[Worker 2]
Broker <--> WorkerN[Worker N]
  • Broker: Routes requests to available workers, handles load balancing
  • Worker: Runs calculator computations, sends heartbeats
  • Client: RemoteCalculator acts as a drop-in ASE calculator

Configuration

Configuration can be set via environment variables or pyproject.toml. Environment variables take precedence.

Environment Variables

Variable Default Description
ASERPC_IPC_DIR .aserpc (cwd) Directory for IPC sockets
ASERPC_IPC_FRONTEND ipc://{IPC_DIR}/frontend.ipc Client socket address
ASERPC_IPC_BACKEND ipc://{IPC_DIR}/backend.ipc Worker socket address
ASERPC_WORKER_TIMEOUT 30.0 Seconds before broker considers worker dead
ASERPC_HEARTBEAT_INTERVAL 5.0 Seconds between heartbeats
ASERPC_IDLE_TIMEOUT 300.0 Seconds before idle worker shuts down
ASERPC_REQUEST_QUEUE_TIMEOUT 60.0 Seconds before queued request expires
ASERPC_CLIENT_TIMEOUT_MS 60000 Client timeout in milliseconds

pyproject.toml

[tool.aserpc]
ipc_dir = "/tmp/aserpc"
worker_timeout = 30.0
heartbeat_interval = 5.0
idle_timeout = 300.0
request_queue_timeout = 60.0
client_timeout_ms = 60000

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