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AdaptHM: A Fully Adaptive Data Migration Strategy for Hybrid Memory systems

IEEE Transactions on Computer-Aided Design of Integrated Circuits and systems 2025年第3期44卷 923-936页

作者： Peng, Zhouxuan Feng, Dan Chen, Jianxi Hu, Jing Liu, Yachun Hu, Jinlei Zhang, Jintong Wan, Tianyu Chen, Zuoning Huazhong University of Science and Technology Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System Engineering Research Center of Data Storage Systems and Technology MoE of China Wuhan430074 China Chinese Academy of Engineering Beijing100088 China

Data migration strategies (DMSs) improve the overall performance of hybrid memory systems by migrating frequently accessed (hot) data to faster memory. However, designing an efficient DMS is challenging since the key metrics of DMS - hot data selection, migration granularity, and migration frequency - are sensitive to access patterns of workloads. Most existing strategies focus on only one of these metrics and often overlook the crucial impact of access patterns, resulting in suboptimal performance and unnecessary migration traffic. In this article, we propose AdaptHM, a fully access-pattern-aware Adaptive DMS for Hybrid Memory systems. AdaptHM achieves adaptability on all three metrics through its unique multilevel data framework. First, AdaptHM adopts a group-level competition policy to select hot blocks, which responds faster to access patterns than threshold-based policies. Second, AdaptHM enables segment-level dynamic migration granularity by decoupling migration from remapping, which shows better-access pattern resilience than existing schemes with fixed-size global migration granularity. Third, AdaptHM adjusts the migration frequency at set-level by periodically assessing the migration benefit, avoiding unnecessary migrations. Experimental results demonstrate that AdaptHM improves the performance by an average of 12.78% and reduces energy consumption by up to 37.24% compared to the state-of-the-art scheme. © 1982-2012 IEEE.

关键词： Frequency modulation

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Wideband tunable mid-infrared laser generating from near-infrared laser pumped BaGa4Se7 crystal

Wideband tunable mid-infrared laser generating from near-inf...

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2024 Applied Optics and Photonics China: Laser technology and Applications, AOPC 2024

作者： Chen, Kai Xu, Degang Li, Jining Zhong, Kai Wang, Yuye Yao, Jianquan School of Precision Instrument and Optoelectronics Engineering Institute of Laser and Optoelectronics Tianjin University Tianjin300072 China Key Laboratory of Optoelectronics Information Technology Ministry of Education Tianjin University Tianjin300072 China Key Laboratory of Micro Opto-electro Mechanical System Technology Ministry of Education Tianjin University Tianjin300072 China

ISBN: (数字)9781510687745

ISBN: (纸本)9781510687738

We have demonstrated wideband tunable optical parametric oscillator (OPO) based on BaGa4Se7 crystal. A pump double-pass, short cavity, singly resonant OPO configuration was used to improve the optical conversion efficiency and reduce the OPO threshold. Using a commercial nanosecond laser with a repetition rate of 10 Hz as the pump source, the tuning range of BaGa4Se7-OPO achieved 3.10-4.84 and 8.24-13.34 µm in mid-wave and long-wave infrared band respectively. The maximum single pulse energy of reached 8.55 mJ at 3.88 µm and 0.855 mJ at 10.8 μm. To achieve high repetition rate operating, an electro-optic Q-switched laser with repetition rate of 1 kHz was built. The high repetition rate BaGa4Se7-OPO have a maximum output power of 564 mW at 3.87 μm and a tuning range of 2.99-5.04 µm. © 2024 SPIE.

关键词： Solid state lasers

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An efficient two-stage reading scheme for recorded data frame of amplitude-modulation coaxial holographic data storage 9

An efficient two-stage reading scheme for recorded data fram...

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9th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Zhan, Yekang Zhang, Yifan Cao, Qiang Xie, Changsheng Key Laboratory of Information Storage System Education Ministry Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781510664432

Optical holographic data storages (HDS) with high theoretical-capacity have been researched for more than two decades. Among them, coaxial HDS receives the most attention. Amplitude-based coding in coaxial HDS systems is fundamental and generally employs a 3:16 modulation scheme that sets merely 3 non-adjacent bright pixels within a 4*4 pixel-block, called as three-level format (TLF). Unfortunately, TLF data frame recorded upon the disc is difficult to be retrieved accurately in the practice. In our previous work, we experimentally analyzed inaccurate TLF data frames recognition and its corresponding factors. The core issue is how to accurately and fast locate TLF data frame in encoded image. Thus, we have to use some image processing techniques such as Gaussian blur to assist in locating TLF data frame. However, using image processing techniques will inevitably introduce long processing-time. Therefore, we propose an efficient two-stage decoding scheme. In the first stage, we locate TLF data frame in encoded images and calculate scaling multiplier (about 1.9s). In the second stage, we calculate the coordinates of all data points and read them (about 0.08s). For the first image of a batch, we execute complete two-stage process, but the subsequence images are no longer to perform the first stage and only fine-tuning TLF data frame location. The experimental results show that the average latency of reading an image is reduced by 1.9s. The average data point error rate is 3.1%, and the average data block error rate is 7.8%, consistent with the results of executing complete process. © 2023 SPIE.

关键词： Amplitude modulation

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A multi-level encoded and interleaved data format for holographic data storage with high reliability and high recoverability 9

A multi-level encoded and interleaved data format for hologr...

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9th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Wang, Siyi Cao, Qiang Xie, Changsheng Key Laboratory of Information Storage System Education Ministry Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781510664432

Holographic data storage (HDS) with Bragg selectivity which can store multiple holographic images in the same physical location makes the storage capacity doubled. Unfortunately, it also brings a high original bit error rate and faces continuous data errors. To solve these problems, we propose a multi-level encoded and interleaved data format for HDS. At the first-level, data DSUs (minimum continuous data units) generates parity DSUs according to the coded rule (CodeRule 1), interleaves and disperses continuous DSUs in Sectors, which completes the first-level encoded and first-level interleaved. In the second-level, Sectors generate parity Sectors according to the coded rule (CodeRule 2). A fixed number of Sectors are organized into Sector-Arrays, and a fixed number of Sector-Arrays form Sector-Clusters. Consecutive Sectors are interleaved between Sector-Arrays to complete the second-level interleaved. In the third-level, the Page composed of multiple Sectors is coded. Organize a fixed number of Pages into a Page-Array, and a fixed number of Page-Arrays form Page-Clusters. Consecutive Pages are interleaved between Page-Arrays to complete the third-level interleaved (CodeRule 3). Also, we designed the user virtual address logical physical address mapping. Finally, the bit error rate of the data processed by the first-level is about 10-2, the second-level is about 10-4, the second-level is about 10-11. The tolerance continuous error length by the first-level is 144B, the second-level is 8160B, the third-level is 137088B. © 2023 SPIE.

关键词： Bit error rate

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Research on 3D Temperature Field Reconstruction Method Based on Fusion of Structured Light Imaging and Infrared Thermography 10

Research on 3D Temperature Field Reconstruction Method Based...

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Optoelectronic Imaging and Multimedia technology X 2023

作者： Hu, Huiqin Xu, Chao Wang, Dongze Hao, Rihua Key Laboratory of Photo-electronic Imaging Technology and System Ministry of Education School of Optoelectronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781510667839

Infrared thermography converts infrared radiation to infrared images and allows the object surface temperature to be measured through radiometric calibration. However, infrared images lack depth information and cannot accurately represent the surface temperature distribution of three-dimensional (3D) objects. At the same time, the temperature measurement results of an infrared thermal imager can be affected by changes in the directional emissivity of the object surface, making it difficult to guarantee the accuracy of temperature measurement. 3D imaging is commonly used to obtain the surface morphology of an object to provide reliable 3D data for subsequent research. The paper uses structured light 3D imaging and infrared thermography to reconstruct the 3D temperature field and investigates the influence of directional emissivity on temperature measurement results. Specifically, the point cloud is obtained using the structured light 3D imaging algorithm based on Gray-code encoding. The reconstructed 3D point cloud is then fused with an infrared image for 3D temperature field reconstruction. Based on the in-depth analysis of the influence of the object surface directional emissivity on the temperature measurement results, the temperature measurement error caused by the change in directional emissivity is corrected by using the geometric shape information of the object surface. The experimental results indicate that the proposed 3D temperature field reconstruction method, which is based on the fusion of structured light imaging and infrared thermography, improves the accuracy of temperature measurement results based on an effective reconstruction of the 3D temperature field. This method has important application value in various fields such as disease assessment, component processing, and instrument testing. © 2023 SPIE. All rights reserved.

关键词： Thermography (imaging)

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Optimizing Structural Modification Operation for B+-Tree on Byte-Addressable Devices 42

Optimizing Structural Modification Operation for B+-Tree on ...

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42nd IEEE International Conference on Computer Design, ICCD 2024

作者： Hong, Dingze Hu, Jinlei Chen, Jianxi Feng, Dan Liu, Jian School of Computer Science and Technology Huazhong University of Science and Technology Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System of MoE China The Fifth Electronics Research Institute of Miit China

ISBN: (纸本)9798350380408

Persistent Memory (PM) offers both byte-address ability and non-volatility, making it well-suited for accelerating B+-Tree indexes. However, existing persistent B+-Tree indexes face significant performance challenges due to high structural modification operation (SMO) overhead. SMOs often result in costly item migrations and increased tail latency, which severely degrade the overall performance. In this paper, we present SSTree, a high-performance B+- Tree index specifically optimized to address SMO overhead. SSTree introduces three key innovations: (i) efficient leaf node expansion using a list of subnodes to postpone expensive node splits, (ii) delegated fingerprints to speed up search operations across subnodes, and (iii) proactive subnode compaction that employs out-of-place updates to optimize item organization. Our evaluation demonstrates that SSTree delivers up to 4.38× higher write throughput and up to 62× lower tail latency compared to state-of-the-art persistent B+-Tree indexes. © 2024 IEEE.

关键词： Trees (mathematics)

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Integrating 2D layered materials with 3D bulk materials as van der Waals heterostructures for photodetections:Current status and perspectives

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InfoMat 2023年第10期5卷 1-31页

作者： Weijie Liu Yiye Yu Meng Peng Zhihua Zheng Pengcheng Jian Yang Wang Yuanchen Zou Yongming Zhao Fang Wang Feng Wu Changqing Chen Jiangnan Dai Peng Wang Weida Hu Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhanthe People's Republic of China State Key Laboratory of Infrared Science and Technology Shanghai Institute of Technical PhysicsChinese Academy of SciencesShanghaithePeople's Republic of China State Key Laboratory of ASIC and System School of MicroelectronicsFudan UniversityShanghaithe People's Republic of China

In the last decade,two-dimensional layered materials(2DLMs)have been drawing extensive attentions due to their unique properties,such as absence of surface dangling bonds,thickness-dependent bandgap,high absorption coeffi-cient,large specific surface area,and so *** the high-quality growth and transfer of wafer-scale 2DLMs films is still a great challenge for the commerciali-zation of pure 2DLMs-based ***,the material growth and device fabrication technologies of three-dimensional(3D)semiconductors photodetectors tend to be gradually ***,the further improvement of the photodetection performance is limited by the difficult heterogeneous inte-gration or the inferior crystal quality via ***,2D/3D van der Waals heterostructures(vdWH)combine the advantages of the two types of materials simultaneously,which may provide a new platform for developing high-performance optoelectronic ***,we first discuss the unique advantages of 2D/3D vdWH for the future development of photodetection field and simply introduce the structure categories,working mechanisms,and the typical fabrication methods of 2D/3D vdWH ***,we outline the recent progress on 2D/3D vdWH-based photodetection devices integrating 2DLMs with the traditional 3D semiconductor materials,including Si,Ge,GaAs,AlGaN,SiC,and so ***,we highlight the current challenges and pros-pects of heterointegrating 2DLMs with traditional 3D semiconductors toward photodetection applications.

关键词： photodetectors three-dimensional semiconductors two-dimensional layered materials vander Waals heterostructures

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DRCTL: A Disorder-Resistant Computation Translation Layer Enhancing the Lifetime and Performance of Memristive CIM Architecture 57

DRCTL: A Disorder-Resistant Computation Translation Layer En...

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57th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2024

作者： Zhou, Heng Wu, Bing Cheng, Huan Liu, Jinpeng Lei, Taoming Feng, Dan Tong, Wei School of Computer Science and Technology Huazhong University of Science and Technology Ministry of Education of China Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System Engineering Research Center of Data Storage Systems and Technology China

ISBN: (纸本)9798350350579

The memristive Computing-in-Memory (CIM) sys-Tem can efficiently accelerate matrix-vector multiplication (MVM) operations through in-situ computing. The data layout has a significant impact on the communication performance of CIM systems. Existing software-level communication opti-mizations aim to reduce communication distance by carefully designing static data layouts, while wear-leveling (WL) and error mitigation methods use dynamic scheduling to enhance system reliability, resulting in randomized data layouts and increased communication overhead. Besides, existing CIM compilers di-rectly map data to physical crossbars and generate instructions, which causes inconvenience for dynamic scheduling. To address these challenges of balancing communication performance and reliability while coordinating existing CIM compilers and dy-namic scheduling, we propose a disorder-resistant computation translation layer (DRCTL), which improves system lifetime and communication performance through co-optimization of data layout and dynamic scheduling. It consists of three parts: (1) We propose an address conversion method for dynamic scheduling, which updates the addresses in the instruction stream after dynamic scheduling, thereby avoiding recompilation. (2) Dynamic scheduling strategy for reliability improvement. We propose a hierarchical wear-leveling (HWL) strategy, which reduces communication by increasing scheduling granularity. (3) Communication optimization for dynamic scheduling. We propose data layout-Aware selective remapping (LASR), which helps dynamic scheduling methods improve communication lo-cality and reduce latency by exploiting data dependencies. The experiments demonstrate that HWL extends lifetime by 100.3-205.9 x compared to not using WL. Even with a slight lifetime decrease compared to the state-of-The-Art WL (TIWL), it still supports continuous neural network training for 7 years. After applying LASR to HWL, the number of execution cycles, energy consumption

关键词： Program compilers

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Health monitoring by optical fiber sensing technology for rechargeable batteries

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eScience 2024年第1期4卷 79-95页

作者： Yi Zhang Yanpeng Li Zezhou Guo Jianbo Li Xiaoyu Ge Qizhen Sun Zhijun Yan Zhen Li Yunhui Huang State Key Laboratory of Material Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhanHubei430074China School of Optical and Electronic Information National Engineering Laboratory for Next Generation Internet Access SystemWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhanHubei430074China Henan Key Laboratory of Laser and Opto-electric Information Technology School of Electrical and Information EngineeringZhengzhou UniversityZhengzhouHenan45001China

With the proposal of a“smart battery,”real-time sensing by rechargeable batteries has become progressively more important in both fundamental research and practical ***,many traditional sensing technologies suffer from low sensitivity,large size,and electromagnetic interference problems,rendering them unusable in the harsh and complicated electrochemical environments of *** optical sensor is an alternative approach to realize multiple-parameter,multiple-point measurements ***,it has garnered significant *** analyzing these measured parameters,the state of interest can be decoded to monitor a battery's *** review summarizes current progress in optical sensing techniques for batteries with respect to various sensing parameters,discussing the current limitations of optical fiber sensors as well as directions for their future development.

关键词： Optical fiber sensing Rechargeable battery Real-time sensing Health monitoring

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Multi-level Multi-task representation learning with adaptive fusion for multimodal sentiment analysis

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Neural Computing and Applications 2025年第3期37卷 1491-1508页

作者： Zhu, Chuanbo Chen, Min Li, Haomin Zhang, Sheng Liang, Han Sun, Chao Liu, Yifan Chen, Jincai Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Hubei Wuhan430074 China School of Computer Science and Engineering South China University of Technology Guangdong Guangzhou510641 China Pazhou Laboratory Guangdong Guangzhou510640 China School of Computer Science and Technology Huazhong University of Science and Technology Hubei Wuhan430074 China Key Laboratory of Information Storage System Ministry of Education of China Hubei Wuhan430074 China

Multimodal sentiment analysis is an active task in multimodal intelligence, which aims to compute the user’s sentiment tendency from multimedia data. Generally, each modality is a specific and necessary perspective to express human sentiment, providing complementary and consensus information unavailable in a single modality. Nevertheless, the heterogeneous multimedia data often contain inconsistent and conflicting sentiment semantics that limits the model performance. In this work, we propose a Multi-level Multi-task Representation Learning with Adaptive Fusion (MuReLAF) network to bridge the semantic gap among different modalities. Specifically, we design a modality adaptive fusion block to adjust modality contributions dynamically. Besides, we build a multi-level multimodal representations framework to obtain modality-specific and modality-shared semantics by the multi-task learning strategy, where modality-specific semantics contain complementary information and modality-shared semantics include consensus information. Extensive experiments are conducted on four publicly available datasets: MOSI, MOSEI, SIMS, and SIMSV2(s), demonstrating that our model exhibits superior or comparable performance to state-of-the-art models. The achieved accuracies are 86.28%, 86.07%, 84.46%, and 82.78%, respectively, showcasing improvements of 0.82%, 0.84%, 1.75%, and 1.83%. Further analyses also indicate the effectiveness of our model in sentiment analysis. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Multi-task learning

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