As the applications of AI proliferate, it is critical to increase the throughput of online DNN inference services. Multi-process service (MPS) improves the utilization rate of GPU resources by spatial-sharing, but it also brings unique challenges. First, ...

Following the trend of increasing autonomy in real-time systems, multi-core System-on-Chips (SoCs) have enabled devices to better handle the large streams of data and intensive computation required by such autonomous systems. In modern multi-core SoCs, ...

The rapid development of autonomous driving poses new research challenges for on-vehicle computing system. The execution time of autonomous driving tasks heavily depends on the driving environment. As the scene becomes complex, task execution time ...

Modern vehicles, that have to be considered as safety-critical cyber-physical systems, require highly accurate <italic>clock synchronization</italic> (CS) among their distributed computing devices. Since Controller Area Network (CAN) is the predominant in-...

Multiprocessor system-on-chip (MPSoC) platforms have been emerging as the main solution to cope with processor frequency ceiling and power density issues while still improving performances. Then, network-on-chip (NoC) has been adopted to provide the ...

With ever more complex functionalities being implemented in emerging real-time applications, multi-core systems are demanded for high performance, with directed acyclic graphs (DAG) being used to model functional dependencies. For a single DAG task, our ...

This article represents an on-line time-predictable distributed hardware scheduler solution, suitable for many-core systems. We have partitioned the Main scheduler into uniform Partial schedulers to achieve a significant gain in term of performance and ...

Recently, several parallel frameworks have emerged to utilize the increasing computational capacity of multiprocessors. Parallel tasks are distinguished from traditional sequential tasks in that the subtasks contained in a single parallel task can ...

Multicore platforms provide a great opportunity for implementation of fault-tolerance techniques to achieve high reliability in real-time embedded systems. Passive redundancy is well-suited for multicore platforms and a well-established technique to ...

In recent years, programmable many-core accelerators (PMCAs) have been introduced in embedded systems to satisfy stringent performance/Watt requirements. This has increased the urge for programming models capable of effectively leveraging hundreds to ...

Energy consumption minimization is one of the primary design requirements for heterogeneous distributed systems. State-of-the-art algorithms are used to study the problem of minimizing the energy consumption of a real-time parallel application with ...

This paper develops an offset-based response-time analysis technique for analyzing complex distributed real-time systems where processing and communication resources use the time-partitioning strategy to isolate the operation of separate software ...

Graphics processing unit (GPU) programming environments have matured for general-purpose computing on GPUs. Significant challenges for GPUs include system software support for bounded response times and guaranteed throughput. In recent years, GPU ...

Clouds are becoming an important platform for scientific workflow applications. However, with many nodes being deployed in clouds, managing reliability of resources becomes a critical issue, especially for the real-time scientific workflow execution ...

Modern complex embedded systems are evolving into mixed-criticality systems in order to satisfy a wide set of non-functional requirements such as security, cost, weight, timing or power consumption. Partitioning is an enabling technology for this ...

Recent energy measurements on smartphones have shown that parallel communications (e.g., data transfer and voice call) require less energy than their stand-alone execution. Guided by these results, we investigate the possibility of scheduling ...

Real-time distributed systems contain end-to-end flows, which are distributed actions composed of sequences of tasks activated through messages. Such flows usually have an end-to-end deadline but the internal tasks and messages do not have specific timing ...

Cyber-Physical Systems (CPS) integrate discrete-time computing and continuous-time physical-world entities, which are often wirelessly interlinked. The use of wireless safety-critical CPS requires safety guarantees despite communication faults. This paper ...

Today's distributed systems are commonly equipped with both synchronous and asynchronous components controlled with multiple clocks. The key challenges in designing such systems are (1) how to model multi-clocked local synchronous component, local ...

Network-on-Chip (NoC) has emerged as interconnect paradigm in state-of-the-art multi/many core architectures. Voltage and frequency island (VFI) was recently adopted as an effective energy management technique for large scale multicore chip designs. ...