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. Author manuscript; available in PMC: 2025 Feb 21.
Published in final edited form as: IEEE Int Symp Parallel Distrib Process Workshops Phd Forum. 2023 Aug 4;2023:868–877. doi: 10.1109/ipdpsw59300.2023.00143

Listing 2.

Sample asynchronous algorithm implementation.

1 from eqsql import eq
2 eqsql_db = init_esql(…)
3 futures = []
4 for s in samples:
5     payload = json.dumps({‘sample’: sample})
6     ft = eqsql_db.submit_task(
7         ‘exp1’, sim_work_type, payload,
8         priority=0)
9     futures.append(ft)
10
11 tasks_completed = 0
12 while tasks_completed < 1000:
13     ft = eq.pop_completed(futures)
14     tasks_completed += 1
15     tasks, new_priority = update(ft.result())
16     eq.update_priority(futures, new_priority)
17     for t in tasks:
18         ft = eqsql_db.submit_task(
19             ‘exp1’, sim_work_type, task)
20         futures.append(ft)