👉 Spectrum computing is an advanced computing paradigm that leverages the diverse capabilities of various computing resources, including CPUs, GPUs, FPGAs, and specialized accelerators, to efficiently process complex tasks. It involves dynamically allocating workloads across these heterogeneous resources based on their strengths, such as GPUs for parallel processing and CPUs for sequential tasks. This approach optimizes performance, energy efficiency, and cost-effectiveness by matching the right processing unit to the task at hand. Spectrum computing systems can adapt to changing workloads and data patterns, making them particularly suitable for applications like machine learning, scientific simulations, and real-time analytics, where different parts of a computation may benefit from different types of processing. By intelligently distributing tasks across the spectrum of available hardware, it maximizes resource utilization and enhances overall system performance.
