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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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processing overhead

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "processing overhead" is correct and usable in written English.
It is typically used in contexts related to computing, software, or systems to refer to the additional resources required to manage and execute processes. Example: "The new software update has significantly reduced the processing overhead, allowing for faster data analysis."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Deterministic methods need to process every packet and obviously, they incur more processing overhead [1].

Therefore, there is no processing overhead.

However, duplicates cause additional communication and processing overhead in nodes.

Fig. 5 Route convergence time Fig. 6 Router processing overhead.

Ben-Cohen says Korset's monitoring provides automatic analysis using negligible processing overhead and never issues a false alert.

News & Media

Forbes

Thirdly, deploying both the CDE and the REM imposes data and processing overhead on the network.

The granularity of provenance information influencing communication and processing overhead has been described in [2].

The proposed multi-core decoding architectures enable multi-threading with minimum processing overhead.

This is due to the request processing overhead and the concurrent access to the resources' database.

However, the low pass filter incurs additional processing overhead due to its complexity.

Moreover, the Raptor code processing overhead increases with increased source block size.

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Expert writing Tips

Best practice

When discussing the performance impact of new algorithms or software, quantify the "processing overhead" using metrics like CPU usage, memory consumption, or execution time to provide concrete evidence.

Common error

Avoid exaggerating the "processing overhead" without providing supporting data. If the overhead is minimal, clearly state that it is negligible or insignificant to maintain credibility.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "processing overhead" functions primarily as a noun phrase, often acting as the subject or object of a sentence. It refers to the additional resources, such as time, memory, or computational power, required to perform a task beyond the core functionality. As Ludwig AI explains, it's about the extra 'cost' of processing.

Expression frequency: Very common

Frequent in

Science

98%

News & Media

1%

Formal & Business

1%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "processing overhead" is a common and grammatically correct term, as validated by Ludwig AI, primarily used in scientific and technical contexts to describe the additional resources required for a process. Its usage is widespread in academic research and technical documentation. To ensure clarity in your writing, quantify the "processing overhead" with relevant metrics and avoid overstating its impact without supporting data. Alternatives like "computational burden" or "system overhead" can be used depending on the specific context, but it is crucial to understand their nuances and implications.

FAQs

How can I reduce "processing overhead" in my application?

You can minimize "processing overhead" by optimizing algorithms, reducing data transfer, employing caching mechanisms, and utilizing efficient data structures.

What is a synonym for "processing overhead"?

Alternatives to "processing overhead" include "computational burden", "system overhead", or "resource consumption", depending on the specific context.

How does "processing overhead" affect system performance?

"Processing overhead" can degrade system performance by consuming additional resources, increasing latency, and reducing overall throughput. Proper optimization is crucial to minimize these effects.

What is the difference between "processing overhead" and "application overhead"?

"Processing overhead" generally refers to the resources consumed by processing tasks, while "application overhead" may encompass additional resources required by the application itself, such as startup time or configuration overhead. The two terms are similar and sometimes used interchangeably, although "application overhead" can be more broad.

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Source & Trust

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Authority and reliability

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Real-world application tested

Most frequent sentences: