Why are GPUs more suitable for large-scale parallel computing than CPUs?
GPUs are better suited for large-scale parallel computing, and the fundamental reason lies in their different architectural priorities: CPUs are optimized for low-latency serial execution, while GPUs are optimized for high-throughput data parallelism. Core count: CPUs typically have 4–64 powerful cores, optimized for complex control, branch prediction, and out-of-order execution. GPUs feature thousands of lightweight … Read more