What is Heterogeneous Compute?
Heterogeneous computing refers to systems that use multiple types of processors—such as CPUs, GPUs, ASICs, FPGAs, and NPUs—each designed for specific tasks. By assigning workloads to the most suitable processor, performance and energy efficiency improve.
- For example, a common form of heterogeneous computing combines CPU cores with a GPU, which is widely used in gaming and graphics-intensive applications.
Why is Heterogeneous Compute Important?
Heterogeneous computing allows different processors to work in parallel, speeding up computation and reducing task completion time. This approach is especially beneficial for AI and machine learning, where large datasets need to be processed quickly and efficiently.
The Arm Total Compute strategy is a prime example of heterogeneous computing, offering a unified approach to SoC design. It focuses on improving performance, expanding , and providing with the tools required to handle complex, compute-heavy tasks.
Experts agree that heterogeneous computing is transforming digital applications, enabling increasingly customized and efficient systems.
Related Solutions and Resources
Learn how Arm AI technologies—from CPUs to NPUs and software—deliver scalable, efficient AI performance across cloud, edge, and endpoint devices.
Arm Total Compute is a holistic approach to SoC design that meets the demands of the coming wave of innovative, interactive applications.
Total Compute provides scalable solutions for mobile computing devices like smartphones, laptops, and wearables.