Parallelism
Parallelism is the simultaneous execution of multiple computations at the exact same instant, typically achieved by distributing work across multiple CPU cores, processors, or machines.
9 resources across 3 libraries
Glossary Terms(3)
Multithreading
Multithreading is a programming technique in which a single process runs multiple threads of execution concurrently, allowing different parts of a program to m…
Concurrency
Concurrency is the ability of a program to make progress on multiple tasks during overlapping time periods, whether by truly running them simultaneously or by…
Parallelism
Parallelism is the simultaneous execution of multiple computations at the exact same instant, typically achieved by distributing work across multiple CPU cores…
Study Notes(5)
Scaling and Parallelism
Learn how Flink parallelizes work across task slots and how to scale jobs up or down without losing correctness.
Parallel Computing in Julia
An overview of Julia's parallelism options — multithreading with Threads.@threads, multiprocessing with Distributed.jl, and how to avoid data races.
Wasm Threads and SIMD
How WebAssembly's threads proposal (shared memory and atomics) and fixed-width SIMD unlock parallel and data-level performance for compute-heavy workloads.
The Dependency Graph
Terraform builds a directed acyclic graph of every resource before executing, determining safe, maximally parallel ordering for creates, updates, and deletes.
Tasks and Parallelism
Explore the Task Parallel Library — how Task, Task.Run, and Parallel APIs let you exploit multiple CPU cores for CPU-bound work in C#.