Development of LLVM compilation toolchain for iot processor targeting wireless measurement applications

See, Jin-Chuan; Lee, Wai-Kong; Mok, Kai-Ming; Goh, Hock Guan

doi:10.1109/icsima.2017.8312022

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…In case of LLVM-IR compilation, only the LLVM clang front-end is used. Compared to other works where processors have been directly ported within an internal LLVM target (see, e.g., [29]), here, we have re-used the existing LLVM targets.…”

Section: Compiler and Simulator Toolchainmentioning

confidence: 99%

A Multi-One Instruction Set Computer for Microcontroller Applications

2021

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This work presents a simple integer-only instruction set architecture and microarchitecture derived from One Instruction Set Computers (OISCs) and embedding multiple execution modes (mOISC), capable of running at a reasonable performance level to enable basic usability in microcontroller applications. The purpose of mOISC is to enable simple data transfer tasks and run small programs while maintaining ultimate simplicity. We present the internal organization for a computer architecture including an 8 bit I/O register, and 64 kB central Random Access Memory (RAM), organized in two-bytes words. The processor can run code generated assuming an OISC or a Complex Instruction Set Computer (CISC) scheme (op-code based), depending on the programmer's demands and based on the initial setting of a register during start-up. To enable practical applications and demonstrate successful exploitation of mOISC in view of integration in a compiler back-end, we designed a custom Proof-of-Concept (PoC) software design toolchain based on LLVM and clang. Although not targeting all the features of commercial ISA, the toolchain is capable of compiling C code from LLVM intermediate representation or generating mOISC code translated from ARM, x86, RISC-V, and MIPS assembly. The toolchain also enables practical Value Change Dump (VCD) simulations output with graphical plots of the CPU state and associated symbols. A PoC microcontroller system has been synthesized in a low power Field Programmable Gate Array (FPGA) and verified in a basic wireless telemetry application including a Synchronous Peripheral Interface (SPI) RFM9x Long RAnge (LoRA) transceiver and a MAX30205 Inter Integrated Circuit (I 2 C) temperature sensor, using its 8 bit I/O port, with software bus interface implementation. mOISC occupies ∼6% of resources on a Cyclone 10LP FPGA, for 1397 Adaptive Look-Up Tables (ALUTs) and 461 dedicated logic registers. The measured dynamic current consumption of the complete FPGA board with synthesized mOISC is 12 mA at 100 MHz clock.

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Section: Compiler and Simulator Toolchainmentioning

confidence: 99%

A Multi-One Instruction Set Computer for Microcontroller Applications

2021

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“…Recently, researchers have shown an increased interest in IoT. The IoT is a paradigm to connect an unlimited smart device with their unique identifications anytime and anyplace using the IoT communications protocols [17] [18] [19] [20]. The IoT objects might be mobile phones, food, clothing, machines, tables, sofas, doors, etc.…”

Section: Related Workmentioning

confidence: 99%

Distributed Intelligence at the Edge on IoT Networks

Alam¹,

Rababah²,

Ali³

et al. 2020

AETiC

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The Internet of Things (IoT) has revolutionized innovation to collect and store the information received from physical objects or sensors. The smart devices are linked to a repository that stores intelligent information executed by sensors on IoT-based smart objects. Now, the IoT is shifted from knowledge-based technologies to operational-based technologies. The IoT integrates sensors, smart devices, and a smart grid of implementations to deliver smart strategies. Nowadays, the IoT has been pondered to be an essential technology. The transmission of information to or from the cloud has recently been found to cause many network problems to include latency, power usage, security, privacy, etc. The distributed intelligence enables IoT to help the correct communication available at the correct time and correct place. Distributed Intelligence could strengthen the IoT in a variety of ways, including evaluating the integration of different big data or enhancing efficiency and distribution in huge IoT operations. While evaluating distributed intelligence in the IoT paradigm, the implementation of distributed intelligence services should take into consideration the transmission delay and bandwidth requirements of the network. In this article, the distributed intelligence at the Edge on IoT Networks, applications, opportunities, challenges and future scopes have been presented.

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RISC32‐E: Field programmable gate array based sensor node with queue system to support fast encryption in Industrial Internet of Things applications

See

Mok

Lee

et al. 2020

Circuit Theory & Apps

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SummaryIndustrial Internet of Things (IIoT) is an emerging technology that relies on the use of massively connected sensor nodes to gather industrial‐related data. The collected data are used for postanalysis to generate insights for reducing production down time, cost optimization, and predictive maintenance. One of the key requirements for sensor node in such application is the data confidentiality; as such sensor data may potentially leak the manufacturing and industrial secret to their competitors. In this paper, a field programmable gate array (FPGA)‐based sensor node with Advanced Encryption Standard (AES) crypto‐processor is proposed to safeguard the sensor data. A novel queue system is proposed to further reduce the data processing time and energy consumption. The proposed queue system is able to achieve 1.48× speed up and ∼16% energy reduction, which makes it a competitive candidate for Industrial IoT applications. The technique developed in this paper can also be extended to implement FPGA‐based gateway with encryption feature, which is very useful for edge computing in IoT applications.

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Development of LLVM compilation toolchain for iot processor targeting wireless measurement applications

Cited by 3 publications

References 6 publications

A Multi-One Instruction Set Computer for Microcontroller Applications

A Multi-One Instruction Set Computer for Microcontroller Applications

Distributed Intelligence at the Edge on IoT Networks

RISC32‐E: Field programmable gate array based sensor node with queue system to support fast encryption in Industrial Internet of Things applications

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