Integrated architecture exploration workflow: A NoC-based case study

Author(s):  
Diego Puschini ◽  
Julien Mottin ◽  
Nicolas Palix ◽  
Lian Apostol ◽  
Christian Fabre
Author(s):  
Hanno Scharwaechter ◽  
David Kammler ◽  
Andreas Wieferink ◽  
Manuel Hohenauer ◽  
Kingshuk Karuri ◽  
...  

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1750
Author(s):  
Manho Kim ◽  
Sung-Ho Kim ◽  
Hyuk-Jae Lee ◽  
Chae-Eun Rhee

Since the advent of computers, computing performance has been steadily increasing. Moreover, recent technologies are mostly based on massive data, and the development of artificial intelligence is accelerating it. Accordingly, various studies are being conducted to increase the performance and computing and data access, together reducing energy consumption. In-memory computing (IMC) and in-storage computing (ISC) are currently the most actively studied architectures to deal with the challenges of recent technologies. Since IMC performs operations in memory, there is a chance to overcome the memory bandwidth limit. ISC can reduce energy by using a low power processor inside storage without an expensive IO interface. To integrate the host CPU, IMC and ISC harmoniously, appropriate workload allocation that reflects the characteristics of the target application is required. In this paper, the energy and processing speed are evaluated according to the workload allocation and system conditions. The proof-of-concept prototyping system is implemented for the integrated architecture. The simulation results show that IMC improves the performance by 4.4 times and reduces total energy by 4.6 times over the baseline host CPU. ISC is confirmed to significantly contribute to energy reduction.


2019 ◽  
pp. 602-623
Author(s):  
Rui-Yang Chen

From green supply chain perspective of the internet of things, actualization of the IOT into the complex system for green inventory management will link the real world with the digital world seamlessly. Modeling the complex systems in green supply chain can be hard in a computational utilization and inventory management of relationships exists. Two of the problems of IoT-enabled system are the lack of stable integrated architecture and autonomous mechanism. This paper proposes the intelligent IoT-enabled system in green supply chain using FCM and fuzzy QFD method. It aims to simulate complex system by linked physical and digital objects with relationships while enhancing decision-making performance efficiency for green inventory management. A case study and experiment evaluation of the proposed FCM approach on green supply chain is presented to provide some indication for work improvement. The experiment compares the total effects performance of the green inventory status as estimated by the two methods using the proposed IoT-enabled FCM and traditional FCM.


Author(s):  
Muthu Ramachandran ◽  
Zaigham Mahmood ◽  
Pethuru Raj

Connected Government suggests provisioning of a government's services to its citizens using the Web and communications technologies employing the latest software development paradigms and related methodologies. This also requires appropriate integration of, and interaction between, software applications and e-services developed by various government departments as well as the other influencing sectors of the society such as commerce. This is especially so as the connected government (c-government) applications require open, flexible, interoperable, collaborative, and integrated architecture to provide services for the emerging technologies such as mobile, cloud, and big data. This, in turn, suggests a robust and standard mechanism to develop such applications and services. In this context, Service-Oriented Architecture (SOA) is an attractive approach to adopt. SOA has already been proven successful in providing such a framework for delivering software applications as services with flexibility and multi-platform and multi-channel integration that are necessarily required for c-government application offerings. This chapter provides a discussion of the SOA paradigm and the associated citizen and administrative requirements. The chapter also presents a service-oriented architectural framework based on a set of evaluated application characteristics that support newer technologies. A number of service-component models have also been proposed that provide required customisation, reuse, flexibility, and extensibility. In the context of the proposed overall service-oriented architecture, a large-scale sub-system that the authors term “e-Taxservice” has been used as a case study. The study has a service design that has been validated against a set of key service quality attributes.


2015 ◽  
Vol 2 (3) ◽  
pp. 47-66 ◽  
Author(s):  
Rui-Yang Chen

From green supply chain perspective of the internet of things, actualization of the IOT into the complex system for green inventory management will link the real world with the digital world seamlessly. Modeling the complex systems in green supply chain can be hard in a computational utilization and inventory management of relationships exists. Two of the problems of IoT-enabled system are the lack of stable integrated architecture and autonomous mechanism. This paper proposes the intelligent IoT-enabled system in green supply chain using FCM and fuzzy QFD method. It aims to simulate complex system by linked physical and digital objects with relationships while enhancing decision-making performance efficiency for green inventory management. A case study and experiment evaluation of the proposed FCM approach on green supply chain is presented to provide some indication for work improvement. The experiment compares the total effects performance of the green inventory status as estimated by the two methods using the proposed IoT-enabled FCM and traditional FCM.


2008 ◽  
Vol 2008 (1) ◽  
pp. 349465 ◽  
Author(s):  
François Verdier ◽  
Benoît Miramond ◽  
Mickaël Maillard ◽  
Emmanuel Huck ◽  
Thomas Lefebvre

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