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Quality of results

Quality of results is a engineering 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 Quality of results rather than just read about it. In short: Quality of Results (QoR) is a term used in evaluating technological processes. It is generally represented as a vector of components, with the special case of uni-dimensional value as a synthetic measure.

Key takeaways

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

Reference excerpt

Quality of Results (QoR) is a term used in evaluating technological processes. It is generally represented as a vector of components, with the special case of uni-dimensional value as a synthetic measure.

History The term was coined by the electronic design automation (EDA) industry in the late 1980s. QoR was meant to be an indicator of the performance of integrated circuits (chips), and initially measured the area and speed of a chip. As the industry evolved, new chip parameters were considered for coverage by the QoR, illustrating new areas of focus for chip designers (for example power dissipation, power efficiency, routing overhead, etc.). Because of the broad scope of quality assessment, QoR eventually evolved into a generic vector representation comprising a number of different values, where the meaning of each vector value was explicitly specified in the QoR analysis document. Currently the term is gaining popularity in other sectors of technology, with each sector using its own appropriate components.

Current trends in EDA Originally, the QoR was used to specify absolute values such as chip area, power dissipation, speed, etc. (for example, a QoR could be specified as a {100 MHz, 1W, 1 mm2} vector), and could only be used for comparing the different achievements of a single design specification. The current trend among designers is to include normalized values in the QoR vector, such that they will remain meaningful for a longer period of time (as technologies change), and/or across broad classes of design. For example, one often uses – as a QoR component – a number representing the ratio between the area required by a combinational logic block and the area required by a simple logic gate, this number being often referred to as "relative density of combinational logic". In this case, a relative density of five will generally be accepted as good quality of result – relative density of combinational logic component – while a relative density of fifty will indicate severe design problems (routability, technology that is being used, etc.) which should be investigated and addressed. Note: A new term "Quality of Silicon" (QoS) is being promoted by the EDA industry in an attempt to measure the performance of backend EDA tools in isolation from the human designer's own performance in the frontend design stage. It is claimed that for historical reasons QoR is, and should remain, a measure of frontend design performance, while QoS should be reserved for analysing the performance of the backend-related flow. However, with front-end designers being increasingly concerned with and involved in various backend stages of the design, a large number of QoS parameters are also being included in the QoR analysis vectors.

References

Worked examples

Example 1 — a first encounter with Quality of results

Start with the simplest possible case. Write down what Quality of results claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In engineering, 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 Quality of results 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 Quality of results 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 Quality of results

In research
Quality of results appears in engineering 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 Quality of results 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
Quality of results is common in secondary-school and first-year university syllabi. It links to neighbouring topics Integrated circuits, Units of quality, so understanding it makes those chapters shorter.
In everyday life
Look for Quality of results 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 Quality of results in 20 minutes

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

Frequently asked questions

What is Quality of results in simple terms?

Quality of Results (QoR) is a term used in evaluating technological processes. It is generally represented as a vector of components, with the special case of uni-dimensional value as a synthetic measure.

Why does Quality of results matter?

Because it connects several engineering 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 Quality of results?

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 Quality of results.

Tags

  • Integrated circuits
  • Units of quality

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