speed of computation

USAGE SUMMARY

The phrase "speed of computation" is correct and usable in written English.
It can be used when discussing the efficiency or performance of a computer or algorithm in processing data or performing calculations. Example: "The speed of computation has significantly improved with the latest advancements in hardware technology."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

35 human-written examples

Our proposed technique can improve the speed of computation and reduce computational time.

Computer Aided Chemical Engineering

Finally, multiple threads executed in parallel using the Matlab "Parallel computing toolbox," enhancing speed of computation.

CPT: Pharmacometrics and Systems Pharmacology

In this context, we present a comparative evaluation of the relative performance of different multilayer perceptron based models for optimal fitting of transducer static response characteristics, with particular attention paid to the speed of computation, accuracy achieved, architectural complexity and computational load for a given set of training data.

Measurement

We bypassed this problem by the introduction of a parallel computational scheme which greatly increases the speed of computation.

BMC Genomics

Scalability was a common characteristic of all algorithms before the multi-core era [16],[17] for conventional architectures: any scaling or advance in the computer architecture technology generated a gain in the speed of computation.

Journal of the Brazilian Computer Society

The second argument emphasizes speed of computation.

SEP

Human-verified similar examples from authoritative sources

Similar Expressions

25 human-written examples

Moreover, it preserved the simplicity and hence the high speed of computations.

International Journal of Solids and Structures

However, since the amount of information stored in molecular databases is increasing constantly, there is a need to generate simplifications of the molecular representation of compound databases to open new approaches to studies of the chemical space, optimize the storage and enhance the speed of computations.

Journal of Cheminformatics

To increase the speed of computations, our presented data were obtained for Ngenes = 600 and L = 1,000 nucleotides settings.

Genome Biology and Evolution

A simple case of switching number representations is to trade off precision of the number representation with the speed of the computation.

EURASIP Journal on Embedded Systems

For each strain, two million reads were randomly subsampled to improve the speed of the computation pipeline, which requires very low per-base coverage (Andolfatto et al. 2011).

Genetics

Expert writing Tips

Best practice

When discussing improvements in "speed of computation", specify the factors contributing to this improvement, such as hardware upgrades, algorithmic optimizations, or parallel processing techniques.

Common error

Avoid simply stating that the "speed of computation" has improved without providing specific details or metrics. Quantify the improvement and explain the underlying reasons to provide more meaningful information.

Linguistic Context

The phrase "speed of computation" functions as a noun phrase that typically acts as the subject or object of a sentence. It refers to the rate or velocity at which a computer or system performs calculations or processes data. As Ludwig AI confirms, this phrase is grammatically correct and usable in written English.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

The phrase "speed of computation" is a grammatically sound and frequently used term, particularly within scientific and technical domains. As Ludwig AI indicates, it's effective for discussing the efficiency and performance of computational processes. To enhance clarity in writing, specify contributing factors and quantifiable metrics rather than making general statements about improvements. Consider related terms like "computational efficiency" or "processing speed" to add nuance to your descriptions.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

computational efficiency

This alternative emphasizes the efficiency aspect of the computation process, highlighting how well resources are utilized.

processing speed

This term is a more general alternative, referring to the rate at which data is processed.

computational performance

This phrase focuses on the overall performance of a computational system or algorithm.

calculation speed

Similar to "speed of computation" but focuses specifically on mathematical calculations.

algorithmic efficiency

This highlights the efficiency of the algorithm used in the computation.

execution speed

This term focuses on the speed at which a program or process is executed.

throughput

This refers to the amount of data processed per unit of time.

processing rate

This alternative is a more direct way to express the rate at which processing occurs.

computational velocity

A more technical term, emphasizing the rate of computational operations.

system responsiveness

Focuses on how quickly a system responds to inputs and requests.

FAQs

How can I improve the "speed of computation" in my program?

You can improve the "speed of computation" by optimizing your algorithms, using more efficient data structures, leveraging parallel processing, or upgrading your hardware. Profiling your code to identify bottlenecks can also help.

What is the difference between "speed of computation" and "processing speed"?

While both terms are closely related, "speed of computation" typically refers to the rate at which a computer performs calculations, while "processing speed" is a more general term that encompasses all types of data processing activities. They can often be used interchangeably.

In what contexts is it important to consider the "speed of computation"?

The "speed of computation" is particularly important in real-time systems, scientific simulations, data analysis, and any application where timely results are critical. Factors like algorithmic efficiency and hardware capabilities play a significant role.

What are some common techniques for increasing the "speed of computation"?

Common techniques include algorithmic optimization, parallel computing, using specialized hardware (such as GPUs), and reducing data transfer overhead. Efficient memory management and caching strategies can also significantly improve the "processing speed".