👉 Heather computing is an architectural paradigm that emphasizes the use of heterogeneous computing resources, including CPUs, GPUs, FPGAs, and specialized accelerators, to optimize performance and efficiency in complex computational tasks. This model is particularly useful in scenarios where different types of processing units excel at handling distinct types of computations, such as data-parallel tasks handled by GPUs and control-intensive tasks managed by CPUs. By intelligently distributing workloads across these diverse resources, heather computing aims to maximize throughput, reduce latency, and enhance energy efficiency. It also supports the development of software that can dynamically adapt to the available hardware, making it a flexible and powerful approach for modern computing challenges, especially in fields like artificial intelligence, machine learning, and high-performance computing.
