A Survey of Hybrid Main Memory Architectures

Çavdar, Zerrin Yildiz; Avcı, İsa; Koca, Murat; Sertbaş, Ahmet

doi:10.16984/saufenbilder.334645

Cited by 2 publications

(1 citation statement)

References 44 publications

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“…CoaP protocol is used in the application layer (Burhan et al, 2018;Çavdar & Öztürk, 2018). As the amount of data of various types generated from smart devices in the IoT increases, cloud systems will play an important role in dealing with large amounts of data.…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

Modeling of Iot-Based Additive Manufacturing Machine’s Digital Twin for Error Detection

Duman

Süzen

2023

Mühendislik Bilimleri Ve Tasarım Dergisi

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Additive Manufacturing technology is one of the technologies that is changing the manufacturing industry. It has revealed some advantages over traditional manufacturing methods with this technology. With the advancement of information technologies, new approaches focusing on cost and improvement have begun to be adopted in the manufacturing industry. One such method is digital twin technology. A digital twin is frequently referred to as a digital replication of a physical system. Digital twins provide data and models to support the operation of design and manufacturing processes, as well as troubleshooting, diagnostics, and problem-solving. Various sensors are required to monitor the status of physical systems and transfer data to digital systems. Some of these Internet of Things-compatible sensors are already in production machines, but others can be added later. In the study, an Internet of Things-based system was proposed for the creation of digital twins using a virtual environment, and a digital twin simulation was created in order to bring the benefits of digitalization to production systems. The digital twin is modeled in the Matlab Simulink environment to perform binary classification to detect abnormal physical conditions that have the potential to disrupt the operation of the additive manufacturing machine and affect the quality of the manufacturing part. By generating a digital twin from real machine data, the proposed system will be able to detect errors.

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Section: Internet Of Things (Iot)mentioning

confidence: 99%

Modeling of Iot-Based Additive Manufacturing Machine’s Digital Twin for Error Detection

Duman

Süzen

2023

Mühendislik Bilimleri Ve Tasarım Dergisi

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Exploring Pareto-Optimal Hybrid Main Memory Configurations Using Different Emerging Memories

Chamazcoti

Gupta

et al. 2023

IEEE Trans. Circuits Syst. I

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Main memory system design and corresponding technology requirements have become increasingly challenging for data-dominated high-performance applications. To address the leakage and scalability issues of the conventional DRAMbased memory, new memory technologies with ultra-low leakage and potential for high scalability have been explored extensively over the last decade. However, none of them are mature enough to serve as a drop-in replacement for DRAM. In this paper, we propose a hybrid main memory system solution for utilizing new memory technologies with specific features, based on the target application characteristics and system configuration. To this end, we examine two new memories, 1S-1VCMA and IGZObased DRAM, along with conventional DRAM in the context of hybrid main memory solutions for high-capacity and low-power Pareto-optimizations, respectively. To better evaluate the power and performance, we consider the page-fault modeling in our evaluations. The results of the simulation show that different combinations of memory technologies in the hybrid memory system, different memory capacities, and different storage systems could provide a promising solution in the system regarding the characteristics of running applications and the requirements of the system.

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A Survey of Hybrid Main Memory Architectures

Cited by 2 publications

References 44 publications

Modeling of Iot-Based Additive Manufacturing Machine’s Digital Twin for Error Detection

Modeling of Iot-Based Additive Manufacturing Machine’s Digital Twin for Error Detection

Exploring Pareto-Optimal Hybrid Main Memory Configurations Using Different Emerging Memories

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