CPU-Only Computing
CPU-Only Computing refers to computational tasks and systems that rely solely on the Central Processing Unit (CPU) for processing, without leveraging specialized hardware accelerators like GPUs, TPUs, or FPGAs. It involves executing software applications, algorithms, and workloads using the general-purpose cores of a CPU, which are optimized for sequential and moderately parallel tasks. This approach is common in traditional computing environments where tasks do not require massive parallelization or high-throughput data processing.
Developers should use CPU-Only Computing when working on tasks that are inherently sequential, such as business logic, web servers, or desktop applications, where the overhead of GPU programming is unnecessary. It is also suitable for environments with limited hardware resources, legacy systems, or when developing for platforms where GPU support is unavailable or impractical, such as embedded devices or certain cloud configurations. Learning this concept helps optimize performance and cost in scenarios where parallel acceleration offers minimal benefits.