What are the main architectural differences between GPUs and CPUs

The main architectural differences between GPUs and CPUs are primarily centered around their core design, processing approach, and memory architecture. Here's a detailed comparison:

Core Design and Processing Approach

• CPU Cores: CPUs typically have fewer but more powerful cores, optimized for handling complex, single-threaded tasks. They are designed for low latency and are versatile, capable of executing a wide range of instructions quickly.

• GPU Cores: GPUs have thousands of cores, each less powerful than a CPU core, but they excel at handling many simpler tasks in parallel. This makes GPUs ideal for high-throughput applications like graphics rendering and AI computations.

Memory Architecture

• CPU Memory: CPUs use a hierarchical memory structure with large, fast cache layers (L1, L2, L3) to minimize memory access latency. This is crucial for