amount of computation

USAGE SUMMARY

"amount of computation" is a perfectly correct phrase that can be used in written English.
For example: "The amount of computation necessary to finish this task is immense."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

W-CMSR consumes large amount of computation time although its computational efficiency is not affected by the signal bandwidth.

EURASIP Journal on Advances in Signal Processing

Since this conversion process requires a large amount of computation, this algorithm has low computational efficiency.

BMC Systems Biology

The parallel-processing computer system accomplishes the massive amount of computation the modeling simulation requires.

Computers & Geosciences

This amount of computation takes a long time.

Cornell University

Q: What's the minimum amount of computation that can be purchased?

Cornell University

Unfortunately, these models have traditionally required an inordinate amount of computation.

Columbia University

The advancement of the engine control increases the amount of computation.

IFAC-PapersOnLine

On the other hand, its main drawback is the demand of an enormous amount of computation.

Microelectronics Journal

With respect to the amount of computation, the most suitable measure of fairness is the stretch.

Future Generation Computer Systems

There is also some python code for reducing the amount of computation associated with the filter coefficients.

Stanford University

This reduces the amount of computation and avoids the difficulty due to singularities.

Journal of Sound and Vibration

Expert writing Tips

Best practice

When discussing computational efficiency, quantify the "amount of computation" with metrics like FLOPs (floating-point operations per second) or execution time for clarity.

Common error

Don't assume that reducing the "amount of computation" automatically translates to a faster or more efficient algorithm. Optimizations like parallel processing or using specialized hardware can significantly impact performance even if the raw computation remains the same.

Linguistic Context

The phrase "amount of computation" functions as a noun phrase. It typically serves as the subject or object of a sentence, quantifying the extent of processing or calculations involved in a task or process, as supported by examples Ludwig provides.

Expression frequency: Very common

Frequent in

Science

70%

Academia

20%

News & Media

10%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, the phrase "amount of computation" is a grammatically sound and frequently used noun phrase, particularly within scientific, academic, and technical contexts. It serves to quantify the scale or extent of computational work, helping to assess resource needs and performance limitations. As evidenced by Ludwig, the phrase is deemed correct and applicable in a wide range of scenarios. For best practice, always aim to quantify this "amount" with relevant metrics for clearer communication. While optimizing for less "amount of computation", always consider algorithm efficiency as well. Common alternatives include "computational workload" and "processing requirements".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

computational workload

Focuses on the effort or resources needed for computation.

processing requirements

Highlights the necessary processing capacity for a task.

computational resources

Emphasizes the tools and infrastructure used for computation.

processing power

Refers to the capacity to perform computations.

computational complexity

Focuses on the inherent difficulty and resource demands of a computation.

resource utilization

Highlights the extent to which computing resources are being used.

calculation load

Similar to computational workload, emphasizing calculation aspect.

algorithmic burden

Emphasizes the load imposed by the algorithm.

data processing volume

Emphasizes the quantity of data being processed.

system overhead

Focuses on the additional computation needed to manage the system.

FAQs

How can I reduce the "amount of computation" in my program?

Consider using more efficient algorithms, optimizing your code, leveraging parallel processing, or using specialized hardware like GPUs. Also, try to avoid redundant calculations.

What's the relationship between "amount of computation" and energy consumption?

Generally, a higher "amount of computation" translates to greater energy consumption. Reducing the computational load can lead to significant energy savings, particularly in mobile and embedded systems.

Which is correct, "amount of computation" or "number of computations"?

Both are grammatically correct, but "amount of computation" often refers to the overall workload or resources needed, while "number of computations" refers to a specific count of operations.

How does the "amount of computation" affect the scalability of an algorithm?

Algorithms with a lower "amount of computation", especially those with lower complexity (e.g. O(n) vs O(n^2)), tend to scale better to larger datasets or more complex problems.