👉 Dh Computing, or Distributed Heterogeneous Computing, is a paradigm that leverages diverse computing resources, such as CPUs, GPUs, FPGAs, and specialized accelerators, to solve complex problems more efficiently than traditional homogeneous computing approaches. It emphasizes the integration and orchestration of these heterogeneous devices to harness their unique strengths, such as parallel processing capabilities of GPUs or the programmability of FPGAs. By distributing tasks across these varied resources, Dh Computing aims to enhance performance, reduce energy consumption, and enable real-time processing in applications like artificial intelligence, scientific simulations, and big data analytics. This approach is particularly beneficial for tasks that require both high computational throughput and low-latency processing, making it a powerful tool in the era of big data and AI.
