A Technologically Agnostic Framework for Cyber-Physical and IoT Processing-in-Memory-based Systems Simulation
Santos PC, de Lima JPC, de Moura RF, Ahmed H, Alves MA, Beck AC, Carro L (2019)
Publication Type: Journal article
Publication year: 2019
Journal
Book Volume: 69
Pages Range: 101-111
DOI: 10.1016/j.micpro.2019.06.002
Abstract
Smart devices based on Internet of Things (IoT) and Cyber-Physical System (CPS) are emerging as an important and complex set of applications in the modern world. These systems can generate a massive amounts of data, due to the enormous quantity of sensors being used in modern applications, which can either stress the communication mechanisms or need extra resources to treat data locally. In the era of efficient smart devices, the idea of transmitting huge amounts of data is prohibitive. Furthermore, implementing traditional architectures imposes limits on achieving the required efficiency. Within the area, power, and energy constraints, Processing-in-Memory(PIM) has emerged as a solution for efficiently processing big data. By using PIM, the generated data can be processed locally, with reduced power and energy costs, allowing an efficient solution for CPS and IoT data management problem. However, two main tools are fundamental on this scenario: a simulator that allows architectural performance and behavior analysis is essential within a project life-cycle, and a compiler able to automatically generate code for the targeted architecture with obvious improvements of productivity. Also, with the emergence of new technologies, the ability to simulate PIM coupled to the latest memory technologies is also important. This work presents a framework able to simulate and automatically generate code for IoT PIM -based systems. Also, supported by the presented framework, this work proposes an architecture that shows an efficient IoT PIM system able to compute a real image recognition application. The proposed architecture is able to process 6 × more frames per second than the baseline, while improving the energy efficiency by 30 ×.
Involved external institutions
Universidade Federal do Paraná (UFPR)
Brazil (BR)
Universidade Federal do Rio Grande do Sul (UFRGS)
Brazil (BR)
NED University of Engineering and Technology / انجنيئرڱ ۽ ٽيڪنالاجي جي جامعہ اين اي ڊي
Pakistan (PK)
Brazil (BR)
Universidade Federal do Rio Grande do Sul (UFRGS)
Brazil (BR)
NED University of Engineering and Technology / انجنيئرڱ ۽ ٽيڪنالاجي جي جامعہ اين اي ڊي
Pakistan (PK)
How to cite
APA:
Santos, P.C., de Lima, J.P.C., de Moura, R.F., Ahmed, H., Alves, M.A., Beck, A.C., & Carro, L. (2019). A Technologically Agnostic Framework for Cyber-Physical and IoT Processing-in-Memory-based Systems Simulation. Microprocessors and Microsystems, 69, 101-111. https://doi.org/10.1016/j.micpro.2019.06.002
MLA:
Santos, Paulo Cesar, et al. "A Technologically Agnostic Framework for Cyber-Physical and IoT Processing-in-Memory-based Systems Simulation." Microprocessors and Microsystems 69 (2019): 101-111.
BibTeX: Download