A High-Performance and Scalable NVMe Controller Featuring Hardware Acceleration

Qiu, Yunhui; Yin, Weiqiang; Wang, Lingli

doi:10.1109/tcad.2021.3088784

Cited by 3 publications

(2 citation statements)

References 37 publications

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“…Tasks requiring high computing power are processed on the cloud with the high performance server [52]. The advances in graphic processing unit and the development of deep learning have significantly enhanced the processing capabilities and expanded the analysis methods for multi-modal data in many fields, which also become a strong support for the analysis of large-scale fabric sensing data [53].…”

Section: Architecture Of Intelligent Fabric Spacementioning

confidence: 99%

Digital medical education empowered by intelligent fabric space

Chen¹,

Wang²,

Zhou³

et al. 2022

NSO

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Medical education plays an important role in promoting the development of global medical science. Nevertheless, the intrinsic gap existing between institutional medical teaching and practical clinical tasks causes low education efficiency and students' weak initiative. Recent developments of sensing fabric and embedded computing, along with the advances in artificial intelligence (AI) and digital twin technology are paving the way for the transformation of medical research towards digitization. In this work, we present an intelligent fabric space based on novel functional fabric materials and digital twin networking enabled by 5G and internet of things (IoT) technologies. In this space, medical students can learn knowledge with collaborative mapping of the digital and real world, cyber-physical interaction and real-time tactile feedback. And the proposed service system will evaluate and feedback students' operational behaviors to improve their experimental skills. We provide four typical applications of intelligent fabric space for medical education, including medical education training, health and behavior tracking, operation playback and reproduction, as well as medical knowledge popularization. The proposed intelligent fabric space has the potential to promote innovative technologies for training cutting-edge medical students by effective and efficient ways.

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Section: Architecture Of Intelligent Fabric Spacementioning

confidence: 99%

Digital medical education empowered by intelligent fabric space

Chen¹,

Wang²,

Zhou³

et al. 2022

NSO

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“…Consequently, SSDs (Solid State Disks) based on NAND Flash chips have become mainstream in the market due to their fast read/write speeds, low power consumption, and compact form factor. SSDs implemented on the PCIe interface, coupled with NVMe (Non-Volatile Memory Express) specifically designed for the characteristics of the PCIe bus, have shattered the traditional transmission interface and protocol limitations on SSD speed, thus fully unleashing the performance potential of SSDs [2] .On the other hand, FPGA (Field Programmable Gate Array) is a semi-custom design platform in the domain of Application-Specific Integrated Circuits (ASICs), offering advantages such as design flexibility, shorter development cycles, parallel hardware execution, and ample resources [3] .…”

Section: Introductionmentioning

confidence: 99%

Airborne hyperspectral camera control and data storage system design

Zhao,

Huang,

Qian

et al. 2023

Optoelectronic Imaging and Multimedia Technology X

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In the flight mission of airborne hyperspectral camera, due to the characteristics of hyperspectral data with high spatial resolution, high spectral resolution and many spectral channels, the amount of data acquired is also exploding. However, the traditional data storage system has high latency and poor read and write performance, which cannot meet the realtime storage performance requirements of hyperspectral image data. In order to achieve high-speed storage of airborne hyperspectral camera image data, a data storage system based on Soc FPGA is proposed in this paper. The system takes ZYNQ 7035 chip as the core, builds the system in Vivado environment to realize data transmission based on PCIe channel, and designs NVMe high-speed interface according to NVMe protocol specification under Linux system. The storage system receives the image data through the Cameralink interface, and uses SSD as the storage device to ensure the high-speed transmission and storage of data to meet the storage requirements of the hyperspectral imaging field.

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