Computing Task

A Computing Task is a task that transforms input data into output results through algorithmic processing using computing resources.

• AKA: Computation Task, Computational Task, Data Processing Task, Algorithmic Task, Information Processing Task, Digital Processing Task.
• Context:
  • Input: Computing Data, Computing Parameters.
    • optional: computing configuration.
    • optional: computing resource constraints.
    • optional: computing algorithm specification.
    • optional: computing accuracy requirements.
    • optional: computing performance targets.
  • Output: Processed Computing Data, Computing Results.
  • Measure: Computing Efficiency Metrics such as computing time complexity, computing space complexity, and computing accuracy measure.
  • It can typically transform Input Data through computing algorithms using computing operations.
  • It can typically utilize Computing Resources through computing processors, computing memory, and computing storage.
  • It can typically follow Computing Patterns through computing architectures, computing paradigms, and computing methodologies.
  • It can typically produce Computing Outputs through computing result generation, computing data transformation, and computing solution delivery.
  • It can typically achieve Computing Objectives through computing problem solving, computing optimization, and computing automation.
  • It can typically maintain Computing State through computing memory management, computing context preservation, and computing session handling.
  • It can typically ensure Computing Correctness through computing validation, computing verification, and computing testing.
  • It can typically handle Computing Errors through computing exception handling, computing fault tolerance, and computing recovery mechanisms.
  • It can often implement Computing Algorithms through sequential computing processes, parallel computing processes, and distributed computing processes.
  • It can often demonstrate Computing Characteristics through computing determinism, computing completeness, and computing correctness.
  • It can often require Computing Skills through computing logic design, computing efficiency optimization, and computing error handling.
  • It can often enable Computing Applications through computing service provision, computing functionality implementation, and computing system integration.
  • It can often leverage Computing Frameworks through computing libraries, computing platforms, and computing ecosystems.
  • It can often support Computing Scalability through computing load balancing, computing resource allocation, and computing performance optimization.
  • It can often ensure Computing Security through computing access control, computing encryption, and computing authentication.
  • It can range from being a Human-Based Computing Task to being an Automated Computing Task, depending on its computing automation level.
  • It can range from being a Simple Computing Task to being a Complex Computing Task, depending on its computing complexity level.
  • It can range from being a Sequential Computing Task to being a Parallel Computing Task, depending on its computing execution model.
  • It can range from being a Local Computing Task to being a Distributed Computing Task, depending on its computing resource distribution.
  • It can range from being an Exact Computing Task to being an Approximate Computing Task, depending on its computing precision requirement.
  • It can range from being a Deterministic Computing Task to being a Probabilistic Computing Task, depending on its computing outcome predictability.
  • It can range from being an Offline Computing Task to being a Real-Time Computing Task, depending on its computing temporal constraint.
  • It can range from being a Batch Computing Task to being a Stream Computing Task, depending on its computing data processing mode.
  • It can range from being a CPU-Intensive Computing Task to being a I/O-Intensive Computing Task, depending on its computing resource bottleneck.
  • It can range from being a Single-Threaded Computing Task to being a Multi-Threaded Computing Task, depending on its computing concurrency level.
  • It can range from being a Stateless Computing Task to being a Stateful Computing Task, depending on its computing state requirement.
  • It can range from being a Synchronous Computing Task to being an Asynchronous Computing Task, depending on its computing execution timing.
  • ...
  • It can support Computing Applications for computing service delivery.
  • It can integrate with Computing Systems for computing infrastructure utilization.
  • It can enable Computing Innovations through computing capability advancement.
  • It can facilitate Computing Research through computing experiment execution.
  • It can accelerate Domain-Specific Computing through computing specialization.
  • It can optimize Business Processes through computing automation.
  • ...
• Example(s):
  • Data Processing Computing Tasks, such as:
    • Sorting Computing Tasks demonstrating computing data organization through comparison-based algorithms like quicksort and mergesort.
    • Searching Computing Tasks demonstrating computing data location through search algorithms like binary search and hash table lookup.
    • Filtering Computing Tasks demonstrating computing data refinement through selection criteria and predicate evaluation.
    • Aggregation Computing Tasks demonstrating computing data consolidation through reduction operations and summary statistics.
    • Data Transformation Tasks demonstrating computing format conversion through parsing and serialization.
  • Machine Learning Computing Tasks, such as:
    • Classification Computing Tasks demonstrating computing category assignment through supervised learning algorithms.
    • Regression Computing Tasks demonstrating computing value estimation through predictive modeling.
    • Clustering Computing Tasks demonstrating computing pattern discovery through unsupervised learning.
    • Deep Learning Computing Tasks demonstrating computing representation learning through neural networks.
    • Reinforcement Learning Computing Tasks demonstrating computing policy optimization through reward maximization.
  • Optimization Computing Tasks, such as:
    • Linear Programming Computing Tasks demonstrating computing resource optimization through simplex algorithm.
    • Combinatorial Optimization Computing Tasks demonstrating computing solution search through branch and bound.
    • Evolutionary Computing Tasks demonstrating computing solution evolution through genetic algorithms.
    • Constraint Satisfaction Computing Tasks demonstrating computing constraint solving through backtracking.
  • Scientific Computing Tasks, such as:
    • Numerical Analysis Computing Tasks demonstrating computing approximation methods through finite element methods.
    • Simulation Computing Tasks demonstrating computing system behavior through monte carlo methods.
    • Signal Processing Computing Tasks demonstrating computing signal transformation through fourier transforms.
    • Computational Physics Tasks demonstrating computing physical modeling through differential equation solving.
    • Bioinformatics Computing Tasks demonstrating computing biological analysis through sequence alignment.
  • Information Processing Computing Tasks, such as:
    • Text Processing Computing Tasks demonstrating computing language analysis through natural language processing.
    • Image Processing Computing Tasks demonstrating computing visual transformation through computer vision algorithms.
    • Audio Processing Computing Tasks demonstrating computing sound manipulation through digital signal processing.
    • Video Processing Computing Tasks demonstrating computing motion analysis through temporal processing.
  • System Computing Tasks, such as:
    • Database Computing Tasks demonstrating computing data persistence through query processing and transaction management.
    • Network Computing Tasks demonstrating computing data transmission through protocol implementation and routing algorithms.
    • Security Computing Tasks demonstrating computing access control through cryptographic operations and authentication protocols.
    • Operating System Computing Tasks demonstrating computing resource management through scheduling algorithms and memory management.
  • Web Computing Tasks, such as:
    • Web Service Computing Tasks demonstrating computing service delivery through API processing and request handling.
    • Web Scraping Computing Tasks demonstrating computing data extraction through HTML parsing and pattern matching.
    • Web Analytics Computing Tasks demonstrating computing usage analysis through log processing and metric calculation.
  • Blockchain Computing Tasks, such as:
    • Mining Computing Tasks demonstrating computing proof of work through hash computation.
    • Smart Contract Computing Tasks demonstrating computing contract execution through deterministic processing.
    • Consensus Computing Tasks demonstrating computing agreement protocols through distributed algorithms.
  • Quantum Computing Tasks, such as:
    • Quantum Algorithm Tasks demonstrating computing quantum processing through quantum gates and superposition.
    • Quantum Simulation Tasks demonstrating computing quantum modeling through quantum state evolution.
  • Domain-Specific Computing Tasks, such as:
    • Financial Computing Tasks demonstrating computing financial analysis through risk calculation and portfolio optimization.
    • Medical Computing Tasks demonstrating computing medical analysis through diagnosis algorithms and treatment planning.
    • Engineering Computing Tasks demonstrating computing engineering analysis through CAD processing and simulation.
    • Repetitive Computing Tasks demonstrating computing iterative processing through batch operations.
    • Monotonous Computing Tasks demonstrating computing routine processing through automated workflows.
  • ...
• Counter-Example(s):
  • Manual Tasks, which lack computing algorithmic processing and require human physical effort instead of computing resource utilization.
  • Physical Manufacturing Tasks, which lack computing data transformation and involve material manipulation instead of computing information processing.
  • Pure Cognitive Tasks, which lack computing automation capability and require human reasoning without computing algorithmic support.
  • Social Interaction Tasks, which lack computing deterministic processes and involve human communication instead of computing data exchange.
  • Creative Design Tasks (without computational tools), which lack computing systematic processes and rely on human creativity instead of computing algorithm execution.
  • Philosophical Reasoning Tasks, which lack computing formal verification and involve abstract thinking instead of computing logical processing.
• See: Task, Algorithm, Computing System, Data Processing, Computational Complexity, Computer Science, Information Processing, Automated Task, Computing Resource, Computing Application, Turing Machine, Church-Turing Thesis, Computational Theory, Software Engineering Task, Domain-Specific Task, Iterative Task, Parallel Computing, Distributed Computing, Cloud Computing, Edge Computing, High-Performance Computing, Computing Architecture, Computing Infrastructure.

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References

2009

• (WordNet, 2009) ⇒ http://wordnetweb.princeton.edu/perl/webwn?s=calculation
  • S: (n) calculation, computation, computing (the procedure of calculating; determining something by mathematical or logical methods)
  • S: (n) calculation, computation, figuring, reckoning (problem solving that involves numbers or quantities)
  • S: (n) calculation, deliberation (planning something carefully and intentionally) "it was the deliberation of his act that was insulting"

2009

• http://en.wikipedia.org/wiki/Calculation
  • A calculation is a deliberate process for transforming one or more inputs into one or more results, with variable change.
  • The term is used in a variety of senses, from the very definite arithmetical calculation using an algorithm to the vague heuristics of calculating a strategy in a competition or calculating the chance of a successful relationship between two people.
  • Multiplying 7 by 8 is a simple algorithmic calculation.
  • Estimating the fair price for financial instruments using the Black-Scholes model is a complex algorithmic calculation.
  • Statistical estimations of the likely election results from opinion polls also involve algorithmic calculations, but give results that are ranges of possibilities rather than exact answers.
  • Deciding the best way to build a relationship with a member of the opposite sex may also result from a calculation, but is not definite, predictable, nor even clearly defined. This indefinite application of the term gives it a second area of meaning apart from the mathematical senses mentioned above.
  • To calculate means to ascertain by computing.

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