Parallelism

As explained in Rust Servers, Services, and Apps

Parallelism is the simultaneous execution of multiple computations, typically on separate processors or cores.

Parallelism is the simultaneous execution of multiple tasks. It differs from concurrency, which can also mean executing tasks out of order. Both can help process multiple incoming requests efficiently. section 10.1 section 10.6

Two tasks on two CPUs

Imagine two Rust functions running at the same time, with one scheduled on CPU 1 and the other on CPU 2. This illustrates parallel processing, though it does not establish that this is the most efficient way to use CPU time. section 10.1

Figure 10.1 Concurrency vs. parallelism

Compare the illustration of concurrency and parallelism. section 10.1

How Rust Servers, Services, and Apps covers it

How deep it goes

Defines simultaneous task execution and contrasts concurrency, illustrating CPU assignment without detailing parallelism implementation.

Examples

Illustrates two Rust functions assigned to separate CPUs and discusses processing multiple incoming requests.

What you can do after

Understand how simultaneous tasks can use multiple CPUs or cores to improve execution and request-processing efficiency.

How it connects

Connects parallelism with concurrency, multithreading, asynchronous programming, CPUs, and CPU-intensive and I/O-intensive tasks.

liveBookmanning.com

Read Rust Servers, Services, and Apps on liveBook Get the book at manning.com

Also explained in

• 

  liveBookmanning.com
  Fast Python: High performance techniques for large datasets
• 

  liveBookmanning.com
  Grokking ConcurrencyParallelism is the simultaneous execution or simultaneous progress of multiple computational operations.
• 

  liveBookmanning.com
  LatencyParallelism is the simultaneous execution of tasks across multiple processors or other execution units.
• 

  liveBookmanning.com
  Functional Programming in Scala, Second EditionParallelism is the execution of multiple parts of a computation at the same time, typically on multiple processor cores or CPUs.
• 

  liveBookmanning.com
  Starting Data Analytics with Generative AI and PythonParallelized code is software structured so that multiple portions of a computation can execute concurrently.
• 

  liveBookmanning.com
  Advanced Algorithms and Data StructuresParallel computing is the execution of multiple computational operations concurrently, typically using multiple processing units.
• 

  liveBookmanning.com
  100 Go Mistakes and How to Avoid ThemParallel execution is the simultaneous execution of multiple instances of a task, typically on separate processing cores.
• 

  liveBookmanning.com
  Python Concurrency with asyncio
• 

  liveBookmanning.com
  Learn Concurrent Programming with GoParallelism is the simultaneous execution of multiple computations, typically on multiple processing resources.
• 

  liveBookmanning.com
  Kafka for ArchitectsParallel processing is the simultaneous execution of multiple data-processing tasks to increase processing capacity or reduce elapsed time.
• 

  liveBookmanning.com
  Deep Learning with JAXThe execution of computation concurrently across multiple devices or cores.
• 

  liveBookmanning.com
  Apache Kafka in ActionParallel processing is the simultaneous execution of work across multiple processing units or workers.
• 

  liveBookmanning.com
  Graph Neural Networks in ActionParallel computing is a technique that divides work among multiple processing units so computations can execute concurrently.
• 

  liveBookmanning.com
  Data Pipelines with Apache Airflow, Second EditionExecution of independent tasks concurrently rather than one after another.
• 

  liveBookmanning.com
  Financial AI in PracticeParallel processing is the simultaneous execution of multiple computational tasks across processing resources.
• 

  liveBookmanning.com
  Learn Go with Pocket-Sized ProjectsParallel programming is a programming technique in which multiple computations execute concurrently to perform work at the same time.
• 

  liveBookmanning.com
  Code Like a Pro in RustParallelization is the execution of independent computational work concurrently across multiple threads or processing units.
• 

  liveBookmanning.com
  C# Concurrency: Asynchronous and multithreaded programmingParallel execution is the simultaneous execution of multiple operations by separate processing resources.
• 

  liveBookmanning.com
  Building LLM Applications with DSPyThe overlapping execution of multiple operations so they can progress at the same time.
• 

  liveBookmanning.com
  Bayesian Optimization in ActionParallelism is the execution of independent processes simultaneously to reduce total completion time.
• 

  liveBookmanning.com
  Learn Haskell by ExampleParallelism is the simultaneous execution of independent computations to reduce elapsed computation time.
• 

  liveBookmanning.com
  Grokking SimplicityExecution in which multiple actions may occur simultaneously or without a fixed order relative to one another.
• 

  liveBookmanning.com
  Rust in Action: Systems programming concepts and techniquesParallelism is the simultaneous execution of computational activities on multiple physical processing cores or other execution units.
• 

  liveBookmanning.com
  Refactoring to RustParallelism is the execution of multiple computations simultaneously to perform work concurrently.
• 

  liveBookmanning.com
  Learn Docker in a Month of Lunches, Second EditionParallelism is the concurrent execution of multiple computational operations or data transfers.
• 

  liveBookmanning.com
  Go in Action, Second EditionParallelism is the simultaneous execution of multiple computational activities, typically on separate processors or cores.
• 

  liveBookmanning.com
  AI Agents in Action, Second EditionThe concurrent execution of independent workloads or subtasks to reduce elapsed processing time.
• 

  liveBookmanning.com
  The Complete Obsolete Guide to Generative AIParallel computation is the simultaneous execution of multiple computational operations.
• 

  liveBookmanning.com
  Deep Learning with PyTorch, Second EditionThe practice of dividing work into tasks that execute simultaneously.
• 

  liveBookmanning.com
  Effective Data AnalysisParallel processing is the simultaneous execution of separate portions of a computational task.
• 

  liveBookmanning.com
  Learn Generative AI with PyTorchA training approach that computes multiple sequence elements simultaneously rather than strictly sequentially.
• 

  liveBookmanning.com
  Spring AI in ActionParallelization is a technique that executes multiple processing paths concurrently and aggregates their results.
• 

  liveBookmanning.com
  C++ Concurrency in Action, Second EditionParallelism is the simultaneous execution of multiple tasks, typically to use available hardware and improve performance.
• 

  liveBookmanning.com
  Introduction to Generative AI, Second EditionParallelization is the execution of independent subtasks or tool calls concurrently rather than sequentially.
• 

  liveBookmanning.com
  Outlier Detection in PythonParallelism is the execution of multiple computational operations concurrently rather than one after another.
• 

  liveBookmanning.com
  AI Agents and ApplicationsParallel processing is the simultaneous execution of the same or related operations on multiple independent inputs.
• 

  liveBookmanning.com
  Machine Learning for Tabular Data: XGBoost, Deep Learning, and AIParallelization is the execution of independent computational operations concurrently across multiple processing resources.

Compare how 38 books explain parallelism →

Related concepts

• concurrencycontrasts with · Concurrency is the structuring or execution of multiple computational activities so their progress overlaps in time, whether or not they run simultaneously.
• sequential processingcontrasts with · The execution of operations one after another in a defined order, without overlapping their progress.
• diminishing returnsproduces · Diminishing returns is a pattern in which successive increases in an input produce progressively smaller incremental gains in an outcome.
• threaduses · A thread is an independently schedulable sequence or context of execution within a program or process.
• data parallelincludes · Data parallelism is a parallel-computing technique that applies the same computation concurrently to separate portions of data.

This explainer was generated by Manning's knowledge graph from the text of Rust Servers, Services, and Apps. The section links point to the parts of the book it draws on.