scientific computing infrastructure

USAGE SUMMARY

The phrase "scientific computing infrastructure" is correct and usable in written English.
It can be used when discussing the systems, tools, and resources necessary for conducting scientific computing tasks or research. Example: "The university has invested heavily in its scientific computing infrastructure to support advanced research projects."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

Recently, volunteer computing has moved to middleware systems that provide a distributed computing infrastructure independent of the scientific computation.

BioMed Research International

The CF provides an array of IT infrastructure and scientific computing services for SAO and Harvard scientific, technical, and administrative staff at the CfA.

Harvard University

However, to be able to run the scientific computing applications on the cloud infrastructure, the applications must be reduced to frameworks that can successfully exploit the cloud resources, like the MapReduce framework.

Future Generation Computer Systems

However, several issues related to data-intensive loads, complex infrastructures such as hybrid and multicloud environments to support large-scale execution of workflows, performance fluctuations, and reliability, pose as challenges to truly position clouds as viable high-performance infrastructures for scientific computing.

Journal of Cloud Computing

Aiming to build up Europe's computing infrastructure for big scientific projects, the project involves the high priests of computer nerditry from around the world.

The Economist

High performance scientific computing and simulation, novel computer architectures, cluster computing and parallel processing; ubiquitous computing.

Duke University

Research Interests: High performance scientific computing and simulation, novel computer architectures, cluster computing and parallel processing; ubiquitous computing.

Duke University

His research interests include: High performance scientific computing and simulation, novel computer architectures, cluster computing and parallel processing; ubiquitous computing.

Duke University

Astrodynamics Web Tools, AstrodyWebTools (http://tastrody.unirioja.es), is an ongoing collaborative Web Tools computing infrastructure project which has been specially designed to support scientific computation.

Computer Physics Communications

Over the past years, the injection of ways of thinking and working from scientific computing into social science research has helped develop an infrastructure to make this agenda possible.

University of California, Berkeley

This extensive community resource facilitates large-scale analyses on scalable computing infrastructure and has the potential to accelerate scientific discovery, improve reproducibility, and foster open collaboration (Supplementary Note 1).

Nature

Expert writing Tips

Best practice

When describing "scientific computing infrastructure", be specific about the components included, such as hardware, software, and network resources. This adds clarity and context.

Common error

Avoid using "scientific computing infrastructure" as a catch-all term. Instead, detail the specific capabilities and services the infrastructure provides to avoid ambiguity.

Linguistic Context

The phrase "scientific computing infrastructure" functions as a noun phrase. It serves to identify and describe the resources and systems necessary for performing scientific computations. Ludwig AI confirms this usage is correct.

Expression frequency: Missing

Frequent in

Science

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News & Media

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Formal & Business

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Less common in

Science

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News & Media

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Ludwig's WRAP-UP

In summary, "scientific computing infrastructure" is a noun phrase that describes the resources required for scientific computing. It's grammatically correct and primarily used in formal and scientific contexts. While Ludwig confirms its correctness, there are no direct examples available in the provided dataset, which suggests it may be less common or require more specific contexts to appear frequently. Alternative phrases, such as "computational science resources" or "high-performance computing resources", can provide similar meanings with slight variations in emphasis.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

computational infrastructure

Shorter version focusing on the computational aspect of the infrastructure.

high-performance computing resources

Focuses on computing resources specifically designed for high-performance tasks.

e-science infrastructure

Focuses specifically on the infrastructure used for electronic or online science.

advanced computing systems

Refers to computing systems that are at the forefront of technology.

computational science resources

Emphasizes the resources available for computational science, rather than the overall infrastructure.

cyberinfrastructure for science

Highlights the cyber aspect and its importance for scientific applications

research computing environment

Highlights the environment in which research computing takes place, encompassing more than just infrastructure.

data science platform

A broader term encompassing infrastructure and tools for data science.

scientific data processing systems

Focuses on the systems used to process data, implying an underlying infrastructure.

research data management platform

Focuses on management aspect for research data.

FAQs

How can I describe "scientific computing infrastructure" in simpler terms?

Consider using phrases like "computational resources", "research computing environment", or "advanced computing systems" to convey the concept more accessibly.

In what contexts is "scientific computing infrastructure" most appropriate?

This term is particularly suitable in academic papers, grant proposals, and technical documentation where precision and detail are necessary. For broader audiences, consider using a more accessible alternative.

What distinguishes "scientific computing infrastructure" from general IT infrastructure?

"Scientific computing infrastructure" specifically refers to the hardware, software, and network resources optimized for computationally intensive scientific tasks, whereas general IT infrastructure supports a broader range of applications.

How do I ensure my description of "scientific computing infrastructure" is comprehensive?

Include details about the types of hardware (e.g., CPUs, GPUs), software (e.g., simulation tools, data analysis packages), storage capacity, network bandwidth, and support services offered by the infrastructure.