👉 Compound computing is an advanced computational paradigm that combines multiple types of computing resources and architectures to solve complex problems more efficiently. It integrates various processing units, such as CPUs, GPUs, FPGAs, and specialized accelerators like TPUs (Tensor Processing Units), each optimized for different types of tasks. By dynamically distributing workloads across these diverse components, compound computing can achieve higher performance, energy efficiency, and flexibility compared to traditional single-processor systems. For instance, it can leverage the parallel processing power of GPUs for data-intensive tasks and the low-latency, high-speed operations of CPUs for control-intensive processes. This synergy allows compound computing to tackle large-scale, data-heavy applications like machine learning, scientific simulations, and real-time analytics more effectively.
