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Modern AI Chips & Accelerator Architectures Guide: From Training Clusters to Edge Inference
An architectural deep dive into GPUs, TPUs, NPUs, memory bandwidth bottlenecks, and hardware acceleration for machine learning workloads.
Embedded Computing & MCU Architecture Guide: From MPU/MCU Boundaries to Real-Time Control
A deep dive into modern embedded architectures: MPU vs. MCU hardware boundaries, MMU virtualization vs. hard real-time interrupt determinism, Cortex-M and RISC-V pipelines, FreeRTOS scheduling, and engineering selection trees.