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Minimalism (computing)

Minimalism (computing) 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 Minimalism (computing) rather than just read about it. In short: In computing, minimalism is the application of minimalist philosophies and principles in the design and use of hardware and software. Minimalism, in this sense, means designing systems that use the least hardware and software resources possible.

Minimalism (computing) — main illustration
Minimalism (computing) — illustration

Key takeaways

  • Minimalism (computing) 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 Minimalism (computing) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Minimalism (computing) from memory before moving on to harder problems.

Reference excerpt

In computing, minimalism is the application of minimalist philosophies and principles in the design and use of hardware and software. Minimalism, in this sense, means designing systems that use the least hardware and software resources possible.

History In the late 1970s and early 1980s, programmers worked within the confines of relatively expensive and limited resources of common platforms. Eight or sixteen kilobytes of RAM was common; 64 kilobytes was considered a vast amount and was the entire address space accessible to the 8-bit CPUs predominant during the earliest generations of personal computers. The most common storage medium was the 5.25 inch floppy disk holding from 88 to 170 kilobytes. Hard drives with capacities from five to ten megabytes cost thousands of dollars. Over time, personal-computer memory capacities expanded by orders of magnitude and mainstream programmers took advantage of the added storage to increase their software's capabilities and to make development easier by using higher-level languages. By contrast, system requirements for legacy software remained the same. As a result, even the most elaborate, feature-rich programs of yesteryear seem minimalist in comparison with current software. One example of a program whose system requirements once gave it a heavyweight reputation is the GNU Emacs text editor, which gained the backronym "Eight Megabytes And Constantly Swapping" in an era when 8 megabytes was a lot of RAM. Today, Emacs' mainly textual buffer-based paradigm uses far fewer resources than desktop metaphor GUI IDEs with comparable features such as Eclipse or Netbeans. In a speech at the 2002 International Lisp Conference, Richard Stallman indicated that minimalism was a concern in his development of GNU and Emacs, based on his experiences with Lisp and system specifications of low-end minicomputers at the time. As the capabilities and system requirements of common desktop software and operating systems grew throughout the 1980s and 1990s, and as software development became dominated by teams espousing conflicting, faddish software development methodologies, some developers adopted minimalism as a philosophy and chose to limit their programs to a predetermined size or scope. A focus on software optimization can result in minimalist software, as programmers reduce the number of operations their program carries out in order to speed execution. In the early 21st century, new developments in computing have brought minimalism to the forefront. In what has been termed the post-PC era it is no longer necessary to buy a high-end personal computer merely to perform common computing tasks. Mobile computing devices, such as smartphones, tablet computers, netbooks and plug computers, often have smaller memory capacities, less-capable graphics subsystems, and slower processors when compared to the personal computer they are expected to replace. In addition, heavy use of graphics effects like alpha blending drains the battery faster than a "flat ui". The growing popularity of these devices has made minimalism an important design concern.

In Windows 8, Microsoft implemented the "simple, squared-off" Metro appearance, which was less graphics-intensive than the previous Aero interface used in Windows 7 and Windows Vista. This change was made in part because of the rise of smaller, battery-powered devices and the need to conserve power. Version 7 of Apple's iOS made similar changes for user experience reasons. Google's Chrome browser and ChromeOS are often cited as examples of minimalist design.

Usage Developers may create user interfaces to be as simple as possible by eliminating buttons and dialog boxes that may potentially confuse the user. Minimalism is sometimes used in its visual arts meaning, particularly in the industrial design of the hardware device or software theme. Some developers have attempted to create programs to perform a particular function in the fewest lines of code, or smallest compiled executable size possible on a given platform. Some Linux distributions mention minimalism as a goal. Alpine, Arch, Puppy, Bodhi, CrunchBang, dynebolic and Tiny Core are examples. The early development of the Unix system occurred on low-powered hardware, and Dennis Ritchie and Ken Thompson have stated their opinion that this constraint contributed to the system's "elegance of design". Programming language designers can create minimal programming languages by eschewing syntactic sugar and extensive library functions. Such languages may be Turing tarpits due to not offering standard support for common programming tasks. Creating a minimal Lisp interpreter is a common learning task set before computer science students. The Lambda calculus, developed by Alonzo Church is a minimal programming language that uses only function definitions and function applications. Scheme, Forth, and Go are cited as examples of practical, minimal programming languages. The programming hobby of code golf results in minimalist software, but these are typically exercises or code poetry, not usable applications software. John Millar Carroll, in his book Minimalism Beyond the Nürnberg Funnel pointed out that the use of minimalism results in "instant-use" devices such as video games, ATMs, voting machines, and mall kiosks with little-or-no learning curve that do not require the user to read manuals. User Interface researchers have performed experiments suggesting that minimalism, as illustrated by the design principles of parsimony and transparency, bolsters efficiency and learnability. Minimalism is implicit in the Unix philosophies of "everything is a text stream" and "do one thing and do it well", although modern Unix/Linux distributions do not hold so rigorously to this philosophy.

See also Code bloat Code refactoring Concision: Brief, succinct. Don't repeat yourself Feature creep KISS principle Light-weight Linux distribution Muntzing Pareto principle 80:20 rule Rule of least power Software bloat Unix philosophy Wirth's law Worse is better Zawinski's law of software envelopment GreenBrowser

References

Worked examples

Example 1 — a first encounter with Minimalism (computing)

Start with the simplest possible case. Write down what Minimalism (computing) 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 Minimalism (computing) 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 Minimalism (computing) 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 Minimalism (computing)

In research
Minimalism (computing) 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 Minimalism (computing) 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
Minimalism (computing) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Classes of computers, Degrowth, Electronics optimization, so understanding it makes those chapters shorter.
In everyday life
Look for Minimalism (computing) 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 Minimalism (computing) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Minimalism (computing) 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 Minimalism (computing) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Minimalism (computing) in simple terms?

In computing, minimalism is the application of minimalist philosophies and principles in the design and use of hardware and software. Minimalism, in this sense, means designing systems that use the least hardware and software resources possible.

Why does Minimalism (computing) 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 Minimalism (computing)?

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 Minimalism (computing).

Tags

  • Classes of computers
  • Degrowth
  • Electronics optimization
  • Software development philosophies
  • Software optimization

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