Memory Utilization of AI Application for DSP and ARM Processor

This electronic Memory is a crucial component in any AI application, including those running on the OMAPL138 platform. The OMAPL138 is a system-on-chip that integrates a variety of components, including a dual-core ARM Cortex-A8 processor and memory subsystems. In AI applications, memory is used for storing training data, model parameters, and intermediate computations. The amount and type of memory required depend on the complexity of the model and the size of the data set. For example, Computer vision models typically require large amounts of memory to store the weights and biases of the neural network. The OMAPL138 platform includes several types of memory, including on-chip RAM, external SDRAM, and flash memory. The on-chip RAM is used for storing small amounts of data and code that need to be accessed quickly. The external SDRAM provides additional memory for storing larger data sets and intermediate computations. The flash memory is used for storing the application code and data that need to persist across power cycles. The significance of memory in AI applications on the OMAPL138 platform lies in its ability to provide the computational resources required to train and run complex models. Without sufficient memory it would not be possible to store the large amounts of data and parameters required for Computer vision application models, and the performance of the system would be severely limited.