parallel processing

USAGE SUMMARY

The phrase "parallel processing" is correct and usable in written English. You can use it in contexts related to computing, data analysis, or any situation where multiple processes are executed simultaneously. For example, "The software utilizes parallel processing to enhance performance and speed." Alternative expressions include "concurrent processing" and "simultaneous processing."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

# Fewer than 2 will turn off parallel processing.

Harvard University

Genetic material is compared to code; the brain's activity becomes parallel processing.

The New York Times - Books

Japan is now mounting a challenge to U.S. supremacy in a promising technology, massive parallel processing.

The New York Times

More than anyone else, you are responsible for massive parallel processing.

MIT Technology Review

This bit-plane encoder inherently targets parallel processing architecture.

Real-Time Imaging

Therefore, an FPGA pipelined and parallel processing architecture is proposed.

Measurement

(a) No parallel processing.

EURASIP Journal on Wireless Communications and Networking

Fig. 18 Illustration of wavefront parallel processing.

EURASIP Journal on Image and Video Processing

Its parallel processing chip architecture is well-suited for tasks like weather modeling and genomics.

Forbes

The third part of the book applies parallel processing techniques to the exact SAR model solutions.

Springer

ADAM uses Spark to scale out parallel processing.

Data Science and Engineering

Expert writing Tips

Best practice

When discussing performance improvements in computing, quantify the benefits of "parallel processing" with metrics like speedup or reduced latency to provide concrete evidence of its effectiveness.

Common error

Avoid assuming that "parallel processing" is always the optimal solution. Certain tasks are inherently sequential and may not benefit from parallel execution; in fact, introducing parallelism can sometimes increase overhead and reduce efficiency.

Linguistic Context

The phrase "parallel processing" functions as a noun phrase, typically used as a subject or object in a sentence. It describes a method of computing where multiple processors execute instructions simultaneously. Ludwig examples show its use across varied contexts.

Expression frequency: Very common

Frequent in

Science

52%

News & Media

28%

Academia

20%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "parallel processing" is a frequently used noun phrase that describes the simultaneous execution of computational tasks. As Ludwig AI points out, it is grammatically correct and most commonly found in scientific, news, and academic contexts. The phrase denotes a technical concept, making it suited for formal and scientific registers. While the phrase is generally well-regarded, remember that it is most powerful when you can quantify its effectiveness by showing an actual improvement to performance and efficiency. When considering using the phrase, keep in mind there may be better options such as "concurrent execution", "simultaneous computing" or "multiprocessing".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

concurrent execution

Focuses on the act of running multiple processes simultaneously, emphasizing the execution aspect.

simultaneous computing

Highlights the computing aspect, emphasizing that calculations occur at the same time.

multiprocessing

Specifically refers to using multiple processors to perform tasks, often in a computer science context.

concurrent programming

Emphasizes the programming aspect of designing systems that handle multiple tasks at once.

parallel computation

Focuses on the computational aspect of performing calculations simultaneously.

distributed processing

Highlights the distribution of processing tasks across multiple systems or nodes.

simultaneous operations

Emphasizes that several operations are performed at the same time.

multi-threading

Refers to a specific technique in programming where multiple threads execute concurrently within a single process.

concurrency

A more abstract term referring to the ability of a system to handle multiple tasks at the same time, without necessarily implying simultaneous execution.

parallel algorithms

Specifies algorithms designed to be executed in parallel, leveraging multiple processors or cores.

FAQs

How is "parallel processing" used in a sentence?

You can use "parallel processing" to describe systems that execute multiple operations simultaneously. For example: "The new architecture leverages "parallel processing" to enhance performance".

What are some alternatives to "parallel processing"?

Alternatives include "concurrent execution", "simultaneous computing", or "multiprocessing", depending on the specific context you're describing.

Which is correct, "parallel processing" or "serial processing"?

"Parallel processing" and serial processing are both correct terms, but they describe opposite approaches. "Parallel processing" involves simultaneous execution, while serial processing executes tasks sequentially, one after the other.

What's the difference between "parallel processing" and "distributed processing"?

"Parallel processing" typically refers to simultaneous execution on a single system or machine, while "distributed processing" involves dividing tasks across multiple networked systems.