Dyalog Isolates for Parallel Array Work Without Shared Memory
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.
ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
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.
Dyalog's ⎕PARALLEL directive allows for easy distribution of loop iterations across CPU cores. Learn when to use it for heavy array workloads and how to avoid race conditions.
Learn how Dyalog's built-in ⎕JSON maps APL namespaces and vectors to JSON objects and arrays, with practical examples and version-sensitive pitfalls.
Learn how to embed the empty array ⍬ in a matrix to flag missing values, replace them safely, and avoid common pitfalls in Dyalog APL.
How to write, apply, and verify inline dfns in Dyalog APL — argument binding with ⍺ and ⍵, scope isolation checks with ⎕NC, and how to avoid corrupting globals.
Dyalog APL’s .PARALLEL directive lets you run matrix multiplication on multiple cores with little code change. This post shows how to apply it, what to watch for, and how to verify the speedup.
Learn when to use ⎕A versus ⎕UCS in Dyalog APL for generating character arrays, including performance trade-offs, Unicode range handling, and validation techniques.
When Dyalog APL teams scale, namespace collisions and entangled codebases threaten productivity. This architecture note outlines a namespace-first design, practical checks, and failure modes to keep large applications maintainable.
Dyalog namespaces provide logical name isolation for per-tenant computation. This guide covers the architecture for implementing this isolation, its trust boundaries, and when to move to process-level isolation.