👉 Half computing is a computing paradigm that focuses on solving problems by dividing them into two distinct phases: the "hard" phase and the "soft" phase. In the hard phase, the problem is broken down into a set of independent, computationally intensive tasks that can be executed in parallel, often leveraging specialized hardware like GPUs or TPUs. This phase is characterized by its high computational intensity and low latency requirements. The soft phase, on the other hand, involves tasks that are more flexible and can run on general-purpose CPUs, such as data preprocessing, post-processing, and control logic. By separating these tasks, half computing optimizes resource utilization, enabling efficient execution of complex algorithms and accelerating the overall computational process.
