期刊： DESIGN AUTOMATION FOR EMBEDDED SYSTEMS, 2023; 27 (3)
The most recent deep learning technique used in many applications is the convolutional neural network (CNN). Recent years have seen a rise in demand f......
期刊： DESIGN AUTOMATION FOR EMBEDDED SYSTEMS, 2023; 27 (4)
Monitoring the performance of multicore embedded systems is crucial to properly ensure their timing requirements. Collecting performance data is also ......
期刊： DESIGN AUTOMATION FOR EMBEDDED SYSTEMS, 2023; 27 (1-2)
Evaluating the effectiveness of system scheduling and energy savings in embedded real-time systems with low-computing resources is the problem address......
期刊： DESIGN AUTOMATION FOR EMBEDDED SYSTEMS, 2023; 27 (4)
Cloud warehouses are increasingly adopting CPU-GPU collaborative systems to leverage diverse types and levels of parallelism in applications. These en......
期刊： DESIGN AUTOMATION FOR EMBEDDED SYSTEMS, 2023; 27 (1-2)
Fail-operational behavior of safety-critical software for autonomous driving is essential as there is no driver available as a backup solution. In a f......
