👉 Hip computing is an architectural paradigm that aims to enhance the efficiency and effectiveness of computing resources in distributed environments, particularly focusing on cloud computing and edge computing. It leverages heterogeneous computing resources—such as CPUs, GPUs, FPGAs, and specialized accelerators—to dynamically allocate tasks based on their computational requirements and the available resources. This approach optimizes performance, reduces latency, and improves energy efficiency by intelligently offloading tasks to the most suitable processing unit. Hip computing also emphasizes data locality and communication minimization, crucial for real-time applications and IoT deployments. By integrating these diverse computing elements, hip computing enables scalable, flexible, and responsive systems capable of handling complex workloads while maintaining high performance and low power consumption.
