👉 Combo computing, also known as heterogeneous computing or multi-tasking computing, is an approach where multiple types of processors, such as CPUs (Central Processing Units), GPUs (Graphics Processing Units), and specialized accelerators like FPGAs (Field-Programmable Gate Arrays) or TPUs (Tensor Processing Units), are combined to perform different tasks simultaneously or sequentially. This integration allows for more efficient and powerful processing by leveraging the unique strengths of each processor type; CPUs handle complex, sequential tasks with high control, GPUs excel at parallel processing for graphics and machine learning workloads, and specialized accelerators optimize specific computational tasks like matrix operations or neural network inference. By coordinating these diverse processors, combo computing enhances overall system performance, energy efficiency, and capability, making it particularly valuable in fields like artificial intelligence, scientific simulations, and high-performance computing.
