heavy computation

USAGE SUMMARY

The phrase "heavy computation" is correct and usable in written English.
You can use it when referring to a complex set of calculations that require a great deal of processing power and time. For example, "The researchers have been conducting heavy computation to find the optimal solution."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

However, due to the large amount of raw data generated by an OCT engine during a high-speed imaging process and heavy computation task for computer systems, real-time display is highly challenging.

Biomedical Optics Express

The framework divides and distributes the Big Data as well as heavy computation involved, over n computing machines.

Journal of Big Data

From the other hand, it is clearly evident that computational strategies to reduce the heavy computation time, as proposed here with the SSA for RNA folding version II, can be of benefit.

Algorithms for Molecular Biology

On its site, RoboEarth announced: "These robots will use RoboEarth as a knowledge base, communication medium, and computational resource to offload some of their heavy computation".

Independent

"Because most edge locations are either devices today or datacenters over time, they have smaller footprints, and will have disproportionately small amounts of compute and storage available, so all the heavy computation and analytics are going to be done up in the cloud.

Forbes

In order to avoid the heavy computation of FD-WENO, in the smooth regions fixed stencil approximation without computing the non-linear WENO weights is used, and the characteristic decomposition method is replaced by a component-wise approach.

Journal of Computational Physics

So the proposed estimators are LSEs equivalent while avoid the heavy computation cost of LSEs.

Digital Signal Processing

Furthermore, the proposed technique can extract the nonlinear feature without heavy computation load.

Chemical Engineering Science

While some parts of these encryption processes are already mature, the technologies needed to execute encrypted search are still painfully slow because of the heavy computation involved.

MIT Technology Review

However, the design of the guidance-strategy for autonomous dynamic soaring is still suffering from the heavy computation load.

Control Engineering Practice

Feature selection is an efficient way to reduce the heavy computation cost caused by complex and lengthy features.

Neurocomputing

Expert writing Tips

Best practice

When describing computational requirements, be specific about what makes the computation "heavy". For example, mention the volume of data, the complexity of algorithms, or the need for specialized hardware.

Common error

Avoid using "heavy computation" as a generic term. Provide context to explain why the computation is considered heavy. For instance, instead of saying "This system requires heavy computation", specify "This system requires heavy computation due to the need for real-time processing of high-resolution images".

Linguistic Context

The phrase "heavy computation" functions as a noun phrase, where "heavy" modifies "computation". It describes the substantial computational resources required for a particular task. As confirmed by Ludwig AI, this phrase is grammatically correct and frequently used.

Expression frequency: Very common

Frequent in

Science

78%

News & Media

13%

Formal & Business

9%

Less common in

Ludwig's WRAP-UP

In summary, "heavy computation" is a grammatically sound and widely used phrase to describe computationally intensive tasks. Ludwig AI confirms its correctness and frequent appearance across diverse sources. It's most commonly found in scientific and technical contexts to underscore the significant resources, time, or complexity involved in a calculation. For clear and effective communication, it's best to provide context about what makes the computation "heavy", avoiding its generic use. Alternatives like "computationally intensive process" or "complex calculation" can be used for varied expression.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

computationally intensive process

Replaces "heavy" with "computationally intensive" to emphasize the nature of the process.

intensive data processing

Focuses on the data aspect and uses "intensive" instead of "heavy".

complex calculation

Simplifies "computation" to "calculation" and uses "complex" to describe the intensity.

demanding computational task

Emphasizes the demanding nature of the task rather than just the "heavy" aspect.

resource-intensive computing

Highlights the consumption of resources during the computing process.

computationally expensive operation

Focuses on the cost, implying that the computation is demanding in terms of resources.

high-intensity computation

Uses "high-intensity" as a more direct synonym for "heavy".

strenuous computational effort

Highlights the effort required for the computation.

significant processing overhead

Focuses on the overhead or burden caused by the processing.

extensive number crunching

Uses a more informal term ("number crunching") to describe the computation.

FAQs

How can I rephrase "heavy computation" in a sentence?

You can use alternatives such as "computationally intensive process", "intensive data processing", or "complex calculation" depending on the context.

When is it appropriate to use the term "heavy computation"?

The term "heavy computation" is appropriate when referring to computational tasks that require significant processing power, time, or resources. This is often seen in scientific simulations, data analysis, and complex algorithms.

Is "heavy computation" a formal or informal term?

"Heavy computation" is generally considered a neutral term that can be used in both formal and informal contexts. However, it is often found in technical and scientific writing.

What are some common causes of "heavy computation"?

Common causes of "heavy computation" include large datasets, complex algorithms, real-time processing requirements, and the need for high precision or accuracy. These factors can significantly increase the computational demands of a task.