Dear Colleagues,

Over the years, researchers have made breakthrough developments in the fields of science and engineering. These developments have led to the increased usage of computational devices that escalate human interactions with the physical environment. One such development is cyber-physical systems, which are nothing but an extension of the Internet of Things (IoT). They blend both physical and computational capabilities such as control, computation, and communication for designing and developing hybrid electric vehicles, biomedical systems, space vehicles, autonomous cars, prostheses, etc. Physical systems are designed using simulation and tuning methods that address disturbance and uncertainty. The cyber-physical system acts as a platform amalgamating information systems and networked services in a virtual environment. This system also collects a huge amount of data to solve problems while building well organized social networking systems. However, the merging of various subsystems increases the functional and operational time. It also increases the complexity and cost due to the usage of advanced devices such as multicore processors, sensors, actuators, and wireless communication devices. Further, the paradigm shift from distributed to centralized, caused by the processing methods of cyber-physical systems, has increased the complexity when analysing and processing data. All these points stress the need for efficient heterogeneous and parallel computing systems. Moreover, these computing methods can efficiently manage the hardware systems and their computing performance to supplement the adaptability and energy efficiency of the physical systems. Parallel and heterogeneous computing typically is a subsystem with powerful resource-constrained nodes, such as embedded and computer nodes, that organize devices within a wireless network. Apart from that, these computing methods revamp the data integration, self-organization, privacy protection, and data transmission of cyber-physical systems. It further enhances the capacities of IoT sensors and actuators through the token-ring approach in a communication network. Heterogenous and parallel computing reduces the real-time processing delay and energy loss of sensors in an idle state, increasing the life of the networked sensors. In addition, these types of computing systems leverage more resources, solve complex problems, and save the operational time and complexity of cyber-physical systems. All these features upgrade the flexibility of usage of cyber-physical systems, which, in turn, improves their software and hardware functionalities. This Special Issue offers a platform for researchers and practitioners to develop new conceptual models for cyber-physical systems based on heterogeneous and cloud computing.

List of topic areas include, but are not limited to:

• A survey on parallel and heterogenous computing platforms for cyber-physical systems.
• Review of cyber-physical systems with parallel and heterogenous computing systems.
• Scalable heterogenous and parallel computing methods for cyber-physical systems.
• Heterogenous and parallel computing methods for overcoming the challenges of cyber-physical systems.
• Enhancing the performance of cyber-physical systems with heterogenous and parallel computing methods.
• A paradigm shift in cyber-physical systems supported with advanced parallel and heterogenous computing methods.
• Augmenting the computational speed of cyber-physical systems based on heterogenous and parallel computing methods.
• Novel techniques based on heterogenous and parallel computing for cyber-physical systems.
• Adaptive heterogenous and parallel computing model for cyber-physical systems.
• Integrating heterogenous and parallel computing for cyber-physical environment.

Dr. Achyut Shankar
Dr. Zahid Akhtar
Guest Editors

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• cyber physical systems
• parallel computing
• IoT