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Isolates are separate Dyalog APL processes that communicate by message passing. Use them for coarse-grained CPU-bound array work without shared memory, locks, or threading complexity.
Run independent APL workers in parallel with Dyalog isolates, avoiding shared-state bugs at the cost of copying data.
Flutter's UI isolate blocks frames when decoding large JSON synchronously. This post shows how to move that work to a background isolate with compute() or Isolate.run(), the sendable-type constraints, when the overhead isn't worth it, and how to verify the improvement on your own device.
Goal: determine whether to offload CPU‑intensive computation to a Dart Isolate or keep it on the single‑threaded event loop using async/await, after first measuring where time is spent. Constraints: Isolates give true parallelism but add startup latency and message‑passing overhead; async/await avoids copy costs but any synchronous work blocks the UI and can
dyalog
apl
flutter