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4th International Symposium on Computer Engineering and Intelligent Communications, ISCEIC 2023

作者： Luo, Yixian Liu, Tianrui Li, Xueqiong Liu, Hengzhu Institute for Quantum Information State Key Laboratory of High Performance Computing National University of Defense Technology Changsha China College of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9798350306323

In many realistic scenarios, it is necessary but challenging to acquire a large number of annotated radar emitter samples for training a recognition model. This study proposes a cross-domain radar emitter recognition method with few-shot learning, which introduces model-agnostic meta-learning (MAML) to recognize radar emitter and improves it to adapt to various types of radar emitter in different domains without spending a lot of time and data to retrain the model. This method can learn an ideal initialization parameter with a few source domain samples, and then initialize with this parameter on a completely different target domain. It can obtain good generalization effect by fine-tuning with fewer samples, so as to realize cross-domain recognition of radar emitter. Simulation results show that the accuracy of the proposed method can reach more than 90% in high-noise target domains with completely different data distribution from the source domain, which shows its superiority in recognition performance and sample size compared with other radar emitter recognition methods. © 2023 IEEE.

关键词： Learning systems

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A NONLINEAR LEAST-SQUARES CONVEXITY ENFORCING C⁰ INTERIOR PENALTY METHOD FOR THE MONGE–AMPÈRE EQUATION ON STRICTLY CONVEX SMOOTH PLANAR DOMAINS

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Communications of the American Mathematical Society 2024年第14期4卷 607-640页

作者： Brenner, Susanne C. Sung, Li-Yeng Tan, Zhiyu Zhang, Hongchao Department of Mathematics and Center for Computation and Technology Louisiana State University Baton Rouge 70803 LA United States Center for Computation and Technology Louisiana State University Baton Rouge LA United States School of Mathematical Sciences and Fujian Provincial Key Laboratory on Mathematical Modeling and High Performance Scientific Computing Xiamen University Fujian 361005 China

We construct a nonlinear least-squares finite element method for computing the smooth convex solutions of the Dirichlet boundary value problem of the Monge-Ampère equation on strictly convex smooth domains in R². It is based on an isoparametric C⁰ finite element space with exotic degrees of freedom that can enforce the convexity of the approximate solutions. A priori and a posteriori error estimates together with corroborating numerical results are presented. © 2024 by the author(s) under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License (CC BY NC ND 4.0)

关键词： Monge-Ampère equation strictly convex smooth domains nonlinear least-squares convexity enforcing 𝐶⁰ interior penalty method enhanced cubic Lagrange finite elements isoparametric a priori and a posteriori error estimates active set algorithm

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Accelerating Blake3 in RISC-V 2

Accelerating Blake3 in RISC-V

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2nd International Conference on computing, Communication, Perception and Quantum technology, CCPQT 2023

作者： Zou, Xiaofeng Peng, Yuanxi Li, Tuo Kong, Lingjun Pang, Zhaochun Zhang, Lu National University of Defense Technology Institute for Quantum Information State Key Laboratory of High Performance Computing Changsha China Cloud Computing Equipment Innovation Center Second Research Institute Jinan China

ISBN: (纸本)9798350342697

This paper proposes a novel hardware design to accelerate the Blake3 hash algorithm, a cryptographic hash function, on RISC-V architecture, using both vector extension (V1.0) and a specially designed Blake3 instruction. The design leverages the parallelism and simplicity of BLAKE3 to achieve high throughput and low latency, implementing the core compression function using a custom instruction set architecture that supports vector operations and constant computing. The Blake3 compression function is speed up in architecture based on hardware/software co-design. The design achieves a speed-up of 10 times for the compression function compare with a single core of 2.7GHz Xeon 8280 and 10% faster than an AVX512 implementation. © 2023 IEEE.

关键词： Hash functions

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Prediction of Grinding Force by an Electroplated Grinding Wheel with Orderly-Micro-Grooves

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Chinese Journal of Mechanical Engineering 2023年第4期36卷 56-66页

作者： Cong Mao Jiali Wang Mingjun Zhang Xincheng Wang Yuanqiang Luo Weidong Tang Kun Tang Zhuming Bi Yongle Hu Zhenheng Lin Hunan Provincial Key Laboratory of Intelligent Manufacturing Technology for High-performance Mechanical Equipment Changsha University of Science and TechnologyChangsha 410114China Hunan Wuxin Intelligence Technology Co. LtdChangsha 410199China Department of Civil and Mechanical Engineering Purdue University Fort WayneFort WayneIN 46805USA School of Mechanical and Electrical Engineering Putian UniversityPutian 351100China

The ability to predict a grinding force is important to control,monitor,and optimize the grinding *** theoretical models were developed to predict grinding forces when a structured wheel was used in a grinding *** paper aimed to establish a single-grit cutting force model to predict the ploughing,friction and cutting forces in a grinding *** took into the consideration of actual topography of the grinding wheel,and a theoretical grinding force model for grinding hardened AISI 52100 by the wheel with orderly-micro-grooves was *** model was innovative in the sense that it represented the random thickness of undeformed chips by a probabilistic expression,and it reflected the microstructure characteristics of the structured wheel *** that the microstructure depended on the randomness of the protruding heights and distribution density of the grits over the *** proposed force prediction model was validated by surface grinding experiments,and the results showed(1)a good agreement of the predicted and measured forces and(2)a good agreement of the changes of the grinding forces along with the changes of grinding parameters in the prediction model and *** research proposed a theoretical grinding force model of an electroplated grinding wheel with orderly-micro-grooves which is accurate,reliable and effective in predicting grinding forces.

关键词： Electroplated grinding wheel Orderly-micro-grooves Grinding force Force prediction Undeformed chip thickness Experimental validation

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Identification of key Genes as Potential Drug Targets for Gastric Cancer

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Tsinghua Science and technology 2023年第4期28卷 649-664页

作者： Md.Tofazzal Hossain Md.Selim Reza Yin Peng Shengzhong Feng Yanjie Wei Center for High Performance Computing Joint Engineering Research Center for Health Big Data Intelligent Analysis TechnologyShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China School of Computer Science and Technology University of Chinese Academy of SciencesBeijing 100049China Department of Statistics Bangabandhu Sheikh Mujibur Rahman Science and Technology UniversityGopalganj 8100Bangladesh Guangdong Provincial Key Laboratory for Genome Stability and Disease Prevention and Regional Immunity and Diseases Department of PathologyShenzhen UniversityShenzhen 518060China

Gastric cancer(GC)is one of the most common cancers and ranks the third in cancer mortality all over the *** goal of this study was to identify potential hub-genes,highlighting their functions,signaling pathways,and candidate drugs for the treatment of GC *** used publicly available next generation sequencing(NGS)data to identify differentially expressed(DE)*** top DE genes were mapped to STRING database to construct the protein-protein interaction(PPI)network and top hub genes were selected for further *** found a total of 1555 DE genes with 870 upregulated and 685 downregulated genes in *** selected the top 400(200 upregulated and 200 downregulated)genes to construct a PPI network and extracted the top 15 hub *** gene ontology(GO)term and kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analyses of the 15 hub genes exposed some important functions and signaling pathways that were significantly associated with GC *** survival analysis of the hub genes disclosed that the lower expressions of the three hub genes CDH2,COL4A1,and COL5A2 were associated with better survival of GC *** three genes might be the candidate biomarkers for the diagnosis and treatment of ***,we considered 3 key proteins(genomic biomarkers)(COL4A1,CDH2,and CO5A2)as the drug target proteins(receptors),performed their docking analysis with the 102 meta-drug agents,and found Everolimus,Docetaxel,Lanreotide,Venetoclax,Temsirolimus,and Nilotinib as the top ranked 6 candidate drugs with respect to our proposed target proteins for the treatment against GC ***,the proposed drugs might play vital role for the treatment against GC patients.

关键词： gastric cancer hub genes candidate genes molecular docking candidate drugs

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Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs

Context-Driven Index Trimming: A Data Quality Perspective to...

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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024

作者： Ma, Kexin Jin, Ruochun Wang, Haotian Wang, Xi Chen, Huan Tang, Yuhua Wang, Qian Institute for Quantum Information State Key Laboratory of High Performance Computing China College of Computer Science and Technology National University of Defense Technology Changsha China Intelligent Game and Decision Lab Academy of Military Science Beijing China

ISBN: (纸本)9798891761681

Retrieval-Augmented Large Language Models (RALMs) have made significant strides in enhancing the accuracy of generated responses. However, existing research often overlooks the data quality issues within retrieval results, often caused by inaccurate existing vector-distance-based retrieval methods. We propose to boost the precision of RALMs' answers from a data quality perspective through the Context-Driven Index Trimming (CDIT) framework, where Context Matching Dependencies (CMDs) are employed as logical data quality rules to capture and regulate the consistency between retrieved contexts. Based on the semantic comprehension capabilities of Large Language Models (LLMs), CDIT can effectively identify and discard retrieval results that are inconsistent with the query context and further modify indexes in the database, thereby improving answer quality. Experiments demonstrate average improvement of 3.75% in accuracy on challenging question-answering tasks. Also, the flexibility of CDIT is verified through its compatibility with various language models and indexing methods, which offers a promising approach to bolster RALMs' data quality and retrieval precision jointly. © 2024 Association for Computational Linguistics.

关键词： Data accuracy

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Design and Implementation of a Compiler Supporting RISC-V Custom Cryptographic and Vector Instructions 23

Design and Implementation of a Compiler Supporting RISC-V Cu...

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7th International Conference on Computer Science and Application Engineering, CSAE 2023

作者： Zou, Xiaofeng Peng, Yuanxi Zhang, Qing Institute for Quantum Information State Key Laboratory of High Performance Computing National University of Defense Technology Changsha China Second Research Department Cloud Computing Equipment Industry Innovation Center Jinan China

ISBN: (纸本)9798400700590

Post-quantum cryptographic algorithms capable of resisting quantum computing attacks have received increasing attention in recent years, especially lattice-based cryptographic algorithms have become mainstream. Since their specialization and complex computation, the cryptographic computation is inefficient on general-purpose processors. In order to improve the performance of the processor in post-quantum cryptography computing, we have extended a set of cryptographic and vector instruction sets for the CRYSTALS-Kyber algorithm, and implemented support for custom cryptographic and vector instructions based on the open-source toolchain. These efforts can realize the compilation and disassembly of the CRYSTALS-Kyber encryption/decryption algorithm programs, and optimized the performance of the compilation. This paper mainly introduces how to design an extended instruction set based on the target algorithm and enable the compiler to support these instructions. Compared to the situation before extending custom instructions, the total number of instructions for key generation, encryption, and decryption assembly programs has decreased by 3651 times, and the total number of execution cycles has decreased by 2195 times. © 2023 ACM.

关键词： Program compilers

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Experimental review on Majorana zero-modes in hybrid nanowires

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Science China(Physics,Mechanics & Astronomy) 2021年第10期64卷 38-53页

作者： Ji-Bang Fu Bin Li Xin-Fang Zhang Guang-Zheng Yu Guang-Yao Huang Ming-Tang Deng Institute for Quantum Information&State Key Laboratory of High Performance Computing College of Computer Science and TechnologyNational University of Defense TechnologyChangsha 410073China

As the condensed matter analog of Majorana fermion, the Majorana zero-mode is well known as a building block of fault-tolerant topological quantum computing. This review focuses on the recent progress of Majorana experiments, especially experiments about semiconductor-superconductor hybrid devices. We first sketch Majorana zero-mode formation from a bottom-up view,which is more suitable for beginners and experimentalists. Then, we survey the status of zero-energy state signatures reported recently, from zero-energy conductance peaks, the oscillations, the quantization, and the interactions with extra degrees of freedom. We also give prospects of future experiments for advancing one-dimensional semiconductor nanowire-superconductor hybrid materials and devices.

关键词： electronic transport in nanoscale materials and structures quantum wires proximity efect superconducting low-dimensional structures

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An Unsupervised Concrete Crack Detection Method Based on nnU-Net

An Unsupervised Concrete Crack Detection Method Based on nnU...

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International Conference on Image, Vision and Intelligent Systems, ICIVIS 2021

作者： Li, Xinyang Yang, Shaowu Liu, Hengzhu State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha410073 China

ISBN: (纸本)9789811669620

Concrete crack detection is critical to the maintenance of infrastructure. Neural network-based vision methods are widely used to address this challenging task. Current supervised learning methods rely heavily on a large amount of labeled data. To tackle this problem, we proposed an unsupervised concrete crack detection method based on nnU-Net, in which a new reconstruction strategy is applied. Specifically, the input image is first passed to the trained model, and the output image is used as the input image of the final model to reconstruct the original image. We introduced the weighted sum of L2 and SSIM as the loss function of the network to improve the reconstruction ability of the model. We analyzed the proposed method and compared it with the baseline method, which shows obvious improvement. The method has an AP of 0.84 and AUROC of 0.85 on the test set and can give rough estimate of concrete crack location. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Crack detection

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Developing a proxy application for an industrial unstructured CFD software: preliminary results 29

Developing a proxy application for an industrial unstructure...

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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023

作者： Wang, Qingsong Xu, Chuanfu Zhang, Jian Deng, Liang Dai, Zhe Qiu, Haozhong Dai, Weixi Lin, Yongzhen Ding, Yue Che, Yonggang National University of Defense Technology Institute for Quantum Information State Key Laboratory of High Performance Computing Changsha China China Aerodynamic Research and Development Center Mianyang China

ISBN: (纸本)9798350330717

As programming models and architectures evolve in the exa-scale era, porting large-scale HPC applications are becoming increasingly difficult and expensive. In HPC community, mini-apps are often developed to mimic real-world applications, and it offers an easy way to benchmark new HPC platforms. In this paper, we design and implement a mini-app MiniFS as a proxy for an industry-level unstructured Computational Fluid Dynamics (CFD) software FlowStar. The main purpose of MiniFS is to evaluate different shared memory approaches on emerging multi/many-core architectures, because data conflicts and data dependencies in unstructured CFD pose tough challenges for shared memory parallelization. Results show that our mini-app can represent the performance characteristic of the original application. However, the existing approaches are unscalable on modern multi/many-cores. It is imperative to develop novel scalable shared memory approaches for unstructured CFD. © 2023 IEEE.

关键词： mini-app shared memory unstructured CFD

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