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HomeHomework Helpcomputer-scienceHeterogeneous Computing

Heterogeneous Computing

Heterogeneous computing refers to the integration of different types of processors or cores within a single system to improve performance and efficiency, leveraging both serial and parallel processing capabilities.

intermediate
3 hours
Computer Science
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Overview

Heterogeneous computing is a powerful approach that combines different types of processors to enhance performance and efficiency. By leveraging the strengths of CPUs and GPUs, this model allows for better task management and energy savings. It is widely used in various applications, from video rende...

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Key Terms

CPU
Central Processing Unit, the primary component of a computer that performs most of the processing.

Example: The CPU executes instructions from programs.

GPU
Graphics Processing Unit, designed to accelerate graphics rendering.

Example: GPUs are essential for gaming and video editing.

Parallel Processing
The simultaneous execution of multiple tasks to improve computational speed.

Example: Parallel processing is used in data analysis.

Task Offloading
The process of transferring tasks from one processor to another for better performance.

Example: Offloading graphics tasks to a GPU.

Energy Efficiency
Using less energy to perform the same task, reducing costs and environmental impact.

Example: Heterogeneous systems can lower energy bills.

Architecture
The design and structure of a computer system.

Example: Different architectures can affect performance.

Related Topics

Parallel Computing
The simultaneous use of multiple compute resources to solve a problem.
intermediate
Cloud Computing
Using remote servers hosted on the internet to store, manage, and process data.
intermediate
Machine Learning
A subset of AI that enables systems to learn from data and improve over time.
advanced

Key Concepts

Parallel ProcessingCPU vs GPUTask OffloadingEnergy Efficiency