Mis on NPU/DSP ja milliseid raamistikke neid kasutavad?

NPU (Neural Processing Unit) and DSP (Digital Signal Processor) are specialized hardware accelerators for processing certain types of computations.

• NPU is optimized for neural network operations and machine learning, providing high performance with low power consumption. They are used in mobile devices and edge devices to accelerate AI tasks.

• DSP are processors optimized for processing digital signals such as audio, video, and sensor data. They can be used for pre-processing data before ML.

Frameworks and libraries that support working with NPU/DSP:

• TensorFlow Lite — supports acceleration on NPU and DSP in mobile devices via Delegates (e.g., NNAPI for Android).
• Qualcomm Hexagon DSP SDK — for developing applications that use DSP on Qualcomm chips.
• Arm Compute Library — optimized functions for NPU and DSP on Arm processors.

Thus, NPU and DSP help efficiently perform ML tasks on devices with limited resources, reducing latency and power consumption.