Accelerate Data Processing

摘要

DESIGN ENGINEERS' INCREASING RELIANCE on accelerators to enhance system performance has begun to alter the basic concepts of how devices channel and process data. Many leading-edge devices entering today's market incorporate technologies like high-resolution imagery and video, machine learning and virtual and augmented reality. Faced with demand for products that require rapid processing of huge amounts of data while consuming minimal energy, designers now turn to programmable logic chips that optimize processing workloads. This trend has been furdter driven by CMOS scaling's inability to keep pace with performance demands. As a result, accelerators-such as graphics processing units (GPUs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs,) machine-learning accelerators and heterogeneous CPU cores that can perform tasks in parallel-have begun to take on new, high-profile roles in electronics designs.