C’s Dynamic Memory Allocation Assisting AI Model Training Dataset AI Embedded Systems use concepts of C’s Dynamic Memory Allocation

Article Sidebar

Main Article Content

Arav Bansal

Embedded AI devices operate under tight resource constraints (limited RAM, CPU, and power), yet they need to run inference efficiently. Dynamic memory allocation and dynamic variables play a crucial role here. Embedded systems often use C for AI deployment, so dynamic memory management (malloc, calloc, realloc, free) is central for ‘Model Parameter Storage’, ‘Input Buffers for Sensor Data’, ‘Batch Processing and Streaming’, ‘Memory Pooling’, ‘Dynamic variables for adaptability’. 

C’s Dynamic Memory Allocation Assisting AI Model Training Dataset AI Embedded Systems use concepts of C’s Dynamic Memory Allocation . (2026). International Journal of Latest Technology in Engineering Management & Applied Science, 14(12), 1342-1350. https://doi.org/10.51583/IJLTEMAS.2025.1412000116

Downloads

References

Below are the reference sites which I traversed to help build my understanding:

Inventor of C (books, articles) by Dennis MacAlistair Ritchie & Ken Thompson (Dennis Ritchie - Wikipedia)

Classic Data Structures by D. Samanta - Classic Data Structures - Google Books

Stanford Education : Scheduling Techniques for Concurrent Systems March 24, 2000 (10)

Dynamic Memory Allocation and Fragmentation – by Nikola Zlatanov (link)

OpenAI website - OpenAI (https://openai.com)

Article Details

How to Cite

C’s Dynamic Memory Allocation Assisting AI Model Training Dataset AI Embedded Systems use concepts of C’s Dynamic Memory Allocation . (2026). International Journal of Latest Technology in Engineering Management & Applied Science, 14(12), 1342-1350. https://doi.org/10.51583/IJLTEMAS.2025.1412000116