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What is data dependency in parallel processing?

What is data dependency in parallel processing?

A data dependency in computer science is a situation in which a program statement (instruction) refers to the data of a preceding statement. In compiler theory, the technique used to discover data dependencies among statements (or instructions) is called dependence analysis.

What is an example of data dependency?

If ik and ii have a common register or memory operand, they are data-dependent on each other, except when the common operand is used in both instructions as a source operand. An example is when ii uses the result of ik as a source operand.

What is an example of a common parallel processing use case?

Shared memory parallel computers use multiple processors to access the same memory resources. Examples of shared memory parallel architecture are modern laptops, desktops, and smartphones.

What is data parallelism with example?

Data Parallelism means concurrent execution of the same task on each multiple computing core. Let’s take an example, summing the contents of an array of size N. For a single-core system, one thread would simply sum the elements [0] . . . [N − 1].

What is data dependency in database?

A dependency is a constraint that applies to or defines the relationship between attributes. It occurs in a database when information stored in the same database table uniquely determines other information stored in the same table.

What are examples of parallel computing?

Some examples of parallel computing include weather forecasting, movie special effects, and desktop computer applications.

What are parallel processors?

Parallel processing is a method in computing of running two or more processors (CPUs) to handle separate parts of an overall task. Breaking up different parts of a task among multiple processors will help reduce the amount of time to run a program.

What techniques can be used to implement data parallel algorithms?

Parallel Algorithm – Models

  • Data parallel model.
  • Task graph model.
  • Work pool model.
  • Master slave model.
  • Producer consumer or pipeline model.
  • Hybrid model.

Which are the dependencies types?

Types of dependencies in DBMS

  • Functional Dependency.
  • Fully-Functional Dependency.
  • Transitive Dependency.
  • Multivalued Dependency.
  • Partial Dependency.