parallel data

USAGE SUMMARY

The phrase "parallel data" is correct and usable in written English.
It is commonly used in fields such as computer science, statistics, and linguistics to describe a type of data set where two or more sets of data are aligned or matched. Example: The researchers gathered parallel data from different sources, including surveys and online reviews, to analyze customer satisfaction levels.

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

This includes gathering parallel data where official statistics seem to have gaps.

The Guardian

Hu, H. et al. Single-source chip-based frequency comb enabling extreme parallel data transmission.

Nature

Reliability is a critical concern for designers of parallel data storage systems.

Princeton University

We will have some data, including small amounts of parallel data and monolingual collections of documents.

Columbia University

This paper describes and analyses an effective method of providing fault tolerance in parallel data storage systems.

Princeton University

The goal of this project is to develop new high performance graphics architectures for emerging parallel, data intensive systems.

Stanford University

Parallel data relating to blood pressure and end-tidal carbon dioxide were also examined.

Journal of Vascular Surgery

Besides, we also introduce overlay network approach which implicitly provides parallel data transfer scheme to users.

Computer Communications

We also evaluate our algorithms on specialized hypergraphs arising in implementations of parallel data structures.

Journal of Parallel and Distributed Computing

None of the existing transfer protocols, however, scale well to many parallel data connections.

Future Generation Computer Systems

MapReduce is a programming model for parallel data processing widely used in Cloud computing environments.

Journal of Computer and System Sciences

Expert writing Tips

Best practice

When discussing data analysis, clarify the specific relationship between the "parallel data" sets to enhance understanding. Specifying whether the data is used for comparison, validation, or combined analysis provides valuable context.

Common error

Avoid assuming that "parallel data" is inherently independent. While processed simultaneously, the data sets might have dependencies that affect analysis and interpretation. Always evaluate potential relationships and dependencies between the datasets.

Linguistic Context

The phrase "parallel data" primarily functions as a noun phrase, typically used as a subject or object within a sentence. It is used to describe datasets that are related or aligned in some way, as demonstrated by Ludwig's examples.

Expression frequency: Very common

Frequent in

Science

63%

Academia

18%

News & Media

12%

Less common in

Formal & Business

5%

Reference

1%

Encyclopedias

1%

Ludwig's WRAP-UP

In summary, "parallel data" is a noun phrase commonly used to describe datasets that are processed or exist simultaneously, often for comparison or synchronization purposes. Ludwig AI confirms the phrase is correct and usable in written English. It is most frequently encountered in scientific and academic contexts, as well as in news and media discussions related to technology and research. While "parallel data" is often assumed to be independent, it's important to consider potential dependencies during analysis to avoid misinterpretations. Alternatives like "simultaneous information" or "concurrent data sets" can be used to convey similar concepts, though they might emphasize different aspects of the data relationship. "Parallel data" is a key concept in fields that require efficient processing and comparative analysis of large datasets.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

simultaneous information

This alternative highlights the aspect of data occurring at the same time, focusing on the temporal alignment.

concurrent data sets

This phrase emphasizes that multiple data sets are being handled or processed at the same time.

synchronized data streams

This alternative stresses the synchronization aspect, implying that the data is coordinated to occur in a specific order or timing.

aligned data

This option focuses on the data's alignment, suggesting that the data points correspond or match in some way.

corresponding data

This alternative implies a direct correspondence or relationship between different sets of data.

comparable data

This emphasizes that the different datasets are able to be compared.

related data

Focuses on the relationship of the datasets instead of emphasizing the fact that they are being handled together.

associated data

Highlights the association between different pieces of information.

matching datasets

Focuses on how well one dataset fits into another.

correlated data

The data moves together or are influenced by the same thing.

FAQs

How is "parallel data" used in research?

"Parallel data" is used across different research fields to ensure methodological rigor. For example, in medical research, collecting "parallel data" from patients and their partners provides different viewpoints.

What does "parallel data" mean in computer science?

In computer science, "parallel data" refers to data that is processed simultaneously to improve efficiency. This is frequently used in fields like big data analysis and cloud computing.

Which fields commonly use "parallel data"?

Fields that often use "parallel data" include computer science, statistics, linguistics, and various research domains where comparative or synchronized datasets are crucial. Examples can be found in "science", "academia" and "news & media".

How can I ensure the accuracy of "parallel data"?

To maintain accuracy when working with "parallel data", verify that the datasets are properly aligned and synchronized. Perform rigorous quality checks to confirm data integrity and consistency across all sources.