The integration of graphics processing units (GPUs) on high-end compute nodes has
established a new accelerator-based heterogeneous computing model, which now …

The push towards fielding autonomous-driving capabilities in vehicles is happening at
breakneck speed. Semi-autonomous features are becoming increasingly common, and fully …

GPUs are being increasingly adopted as compute accelerators in many domains, spanning
environments from mobile systems to cloud computing. These systems are usually running …

The demand for multitasking on graphics processing units (GPUs) is constantly increasing
as they have become one of the default components on modern computer systems along …

Autonomous vehicles are an exemplar for forward-looking safety-critical real-time systems
where significant computing capacity must be provided within strict size, weight, and power …

Modern automotive-grade embedded computing platforms feature high-performance
Graphics Processing Units (GPUs) to support the massively parallel processing power …

深度学习算法和 GPU 算力的不断进步, 正促进着人工智能技术在包括计算机视觉, 语音识别,
自然语言处理等领域得到广泛应用. 与此同时, 深度学习已经开始应用于以自动驾驶为代表的 …

A fundamental shift is reshaping how real-time analysis is applied in all forms of
autonomous 45 systems (eg, UAVs, robotics, and, especially, self-driving automobiles) …

Deep Neural Networks (DNNs) are being widely applied in many advanced embedded
systems that require autonomous decision making, eg, autonomous driving and robotics. To …

Graphics processing units (GPUs) provide orders-of-magnitude speedup for compute-
intensive data-parallel applications. However, enterprise and cloud computing domains …