Reconfigurable Fault-Safe Processor Platform Based on RISC-V for Large-Scaled IoT-Driven Applications

Moon, Hyeongyun; Cho, Jeonghun; Park, Daejin

doi:10.1109/dasc/picom/cbdcom/cyberscitech.2019.00119

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…Therefore, it is important to reduce the pre-configuration time overhead, because pre-configuration requires the same time as an L1-miss but takes a large portion of the communication. Based on our previous work, if we store the partial bitstream at the edge and reconfigure it directly on the edge, the edge will be able to complete the reconfiguration in a very short time without server access [45]. Therefore, t pre of Equation (2) can be converged to almost 0, and the total reconfiguration time overhead can be close to 0 depending on the accuracy of the bitstream caching prediction.…”

Section: Discussionmentioning

confidence: 99%

An Efficient On-Demand Hardware Replacement Platform for Metamorphic Functional Processing in Edge-Centric IoT Applications

Moon

Park

2021

Electronics

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The paradigm of Internet-of-things (IoT) systems is changing from a cloud-based system to an edge-based system. These changes were able to solve the delay caused by the rapid concentration of data in the communication network, the delay caused by the lack of server computing capacity, and the security issues that occur in the data communication process. However, edge-based IoT systems performance was insufficient to process large numbers of data due to limited power supply, fixed hardware functions, and limited hardware resources. To improve their performance, application-specific hardware can be installed in edge devices, but performance cannot be improved except for specific applications due to a fixed function of an application-specific hardware. This paper introduces an edge-centric metamorphic IoT (mIoT) platform that can use various hardware modules through on-demand partial reconfiguration, despite the limited hardware resources of edge devices. In addition, this paper introduces an RISC-V based metamorphic IoT processor (mIoTP) with reconfigurable peripheral modules. We experimented to prove that the proposed structure can reduce the server access of edges and can be applied to a large-scale IoT system. Experiments were conducted in a single-edge environment and a large-scale environment combining one physical edge and 99 virtual edges. According to the experimental results, the edge-centric mIoT platform that executes the reconfiguration prediction algorithm at the edge was able to reduce the number of server accesses by up to 82.2% compared to our previous study in which the prediction process was executed at the server. Furthermore, we confirmed that there is no additional reconfiguration time overhead even for the large IoT systems.

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Section: Discussionmentioning

confidence: 99%

An Efficient On-Demand Hardware Replacement Platform for Metamorphic Functional Processing in Edge-Centric IoT Applications

Moon

Park

2021

Electronics

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“…Several types of research have been conducted on combining high-level language written system emulator and clock-level RTL simulation [10]- [13]. Xilinx's open source LibSystemCTLM-SoC library [14] enables co-simulation between QEMU and RTL.…”

Section: Related Workmentioning

confidence: 99%

Metamorphic Edge Processor Simulation Framework Using Flexible Runtime Partial Replacement of Software-Embedded Verilog RTL Models

Kwon

Park

2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

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Iterative register-transfer level (RTL) simulation is essential for the edge processor design, but the RTL simulation speed is significantly slower in a system where various RTL models are complicatedly integrated. In this paper, we propose a novel metamorphic edge processor simulation framework that partitions the software part and virtualizes it in the system emulator to eject from full RTL simulation. The system emulator, which is written in a high-level language, and the Verilog simulation have different abstraction levels, thus the Verilog procedural interface (VPI) module is plugged into the Verilog simulator to connect with the virtual layer interface. In the system emulator, a Verilog RTL simulation session corresponding to a specific parameter set can be dynamically loaded at runtime to provide metamorphism by flexible partial parameter-driven RTL model replacement. We applied the proposed framework to finite impulse response (FIR) filter, and it is successfully demonstrated and achieved simulation speedup for given parameters.

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“…This paper extended from our previous work. Our first research represented our initial concept as a reconfigurable fault-safe processor platform [ 17 ]. Our second approach related to on-demand software replacement represents the possibility for real-time on-demand hardware execution [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

mIoT: Metamorphic IoT Platform for On-Demand Hardware Replacement in Large-Scaled IoT Applications

Lee

Moon

et al. 2020

Sensors

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As the Internet of Things (IoT) is becoming more pervasive in our daily lives, the number of devices that connect to IoT edges and data generated at the edges are rapidly increasing. On account of the bottlenecks in servers, due to the increase in data, as well as security and privacy issues, the IoT paradigm has shifted from cloud computing to edge computing. Pursuant to this trend, embedded devices require complex computation capabilities. However, due to various constraints, edge devices cannot equip enough hardware to process data, so the flexibility of operation is reduced, because of the limitations of fixed hardware functions, relative to cloud computing. Recently, as application fields and collected data types diversify, and, in particular, applications requiring complex computation such as artificial intelligence (AI) and signal processing are applied to edges, flexible processing and computation capabilities based on hardware acceleration are required. In this paper, to meet these needs, we propose a new IoT platform, called a metamorphic IoT (mIoT) platform, which can various hardware acceleration with limited hardware platform resources, through on-demand transmission and reconfiguration of required hardware at edges instead of via transference of sensing data to a server. The proposed platform reconfigures the edge’s hardware with minimal overhead, based on a probabilistic value, known as callability. The mIoT consists of reconfigurable edge devices based on RISC-V architecture and a server that manages the reconfiguration of edge devices based on callability. Through various experimental results, we confirmed that the callability-based mIoT platform can provide the hardware required by the edge device in real time. In addition, by performing various functions with small hardware, power consumption, which is a major constraint of IoT, can be reduced.

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Reconfigurable Fault-Safe Processor Platform Based on RISC-V for Large-Scaled IoT-Driven Applications

Cited by 4 publications

References 12 publications

An Efficient On-Demand Hardware Replacement Platform for Metamorphic Functional Processing in Edge-Centric IoT Applications

An Efficient On-Demand Hardware Replacement Platform for Metamorphic Functional Processing in Edge-Centric IoT Applications

Metamorphic Edge Processor Simulation Framework Using Flexible Runtime Partial Replacement of Software-Embedded Verilog RTL Models

mIoT: Metamorphic IoT Platform for On-Demand Hardware Replacement in Large-Scaled IoT Applications

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