computer science

Hierarchical INTegration

Hierarchical INTegration is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Hierarchical INTegration rather than just read about it. In short: Hierarchical INTegration, or HINT for short, is a computer benchmark that ranks a computer system as a whole: the entire computer instead of individual components. It measures the full range of performance, mostly based on the amount of work a computer can perform over time.

Key takeaways

Hierarchical INTegration belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Hierarchical INTegration to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Hierarchical INTegration from memory before moving on to harder problems.

Reference excerpt

Hierarchical INTegration, or HINT for short, is a computer benchmark that ranks a computer system as a whole: the entire computer instead of individual components. It measures the full range of performance, mostly based on the amount of work a computer can perform over time. A system with a very fast processor would likely be rated poorly if the buses were very poor compared to those of another system that had both an average processor and average buses. For example, in the past, Macintosh computers with relatively slow processor speeds (800 MHz) used to perform better than x86 based systems with processors running at nearly 2 GHz. HINT is known for being almost immune to artificial optimization and can be used by many computers ranging from a calculator to a supercomputer. It was developed at the United States Department of Energy's Ames Laboratory and is free and open-source software, licensed under the terms of the GNU General Public License. HINT is intended to be scalable to run on any size computer, from small serial systems to highly parallel supercomputers. The HINT benchmark can use any floating-point or integer data type. HINT benchmark results have been published comparing a variety of parallel and uniprocessor systems. A related tool ANALYTIC HINT can be used as a design tool to estimate the benefits of using more memory, a faster processor, or improved communications (bus speed) within the system.

Worked examples

Example 1 — a first encounter with Hierarchical INTegration

Start with the simplest possible case. Write down what Hierarchical INTegration claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Hierarchical INTegration before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Hierarchical INTegration ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Hierarchical INTegration

In research: Hierarchical INTegration appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Hierarchical INTegration in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Hierarchical INTegration is common in secondary-school and first-year university syllabi. It links to neighbouring topics Benchmarks (computing), Computer hardware stubs, so understanding it makes those chapters shorter.
In everyday life: Look for Hierarchical INTegration outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Hierarchical INTegration in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Hierarchical INTegration means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Hierarchical INTegration out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Hierarchical INTegration in simple terms?

Why does Hierarchical INTegration matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Hierarchical INTegration?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Hierarchical INTegration.