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

In general computing systems, a job (process/task) may suspend itself whilst it is waiting for
some activity to complete, eg, an accelerator to return data. In real-time systems, such self …

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 …

Graphics processing units (GPUs) have become a very powerful platform embracing a
concept of heterogeneous many-core computing. However, application domains of GPUs …

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 …

This paper describes GPUSync, which is a framework for managing graphics processing
units (GPUs) in multi-GPU multicore real-time systems. GPUSync was designed with …

Graphics processors, or GPUs, have recently been widely used as accelerators in shared
environments such as clusters and clouds. In such shared environments, many kernels are …

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) …