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Towards optimized tensor code generation for deep learning on sunway many-core processor

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Frontiers of Computer Science 2024年第2期18卷 1-15页

作者： Mingzhen LI changxi liu Jianjin LIAO Xuegui ZHENG Hailong YANG Rujun SUN Jun XU Lin GAN Guangwen YANG Zhongzhi LUAN Depei QIAN State Key Laboratory of Software Development Environment Beijing 100191China School of Computer Science and Engineering Beihang UniversityBeijing 100191China National University of Singapore Singapore 119077Singapore State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi 214000China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing 100854China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China

The flourish of deep learning frameworks and hardware platforms has been demanding an efficient compiler that can shield the diversity in both software and hardware in order to provide application *** the existing deep learning compilers,TVM is well known for its efficiency in code generation and optimization across diverse hardware *** the meanwhile,the Sunway many-core processor renders itself as a competitive candidate for its attractive computational power in both scientific computing and deep learning *** paper combines the trends in these two ***,we propose swTVM that extends the original TVM to support ahead-of-time compilation for architecture requiring cross-compilation such as *** addition,we leverage the architecture features during the compilation such as core group for massive parallelism,DMA for high bandwidth memory transfer and local device memory for data locality,in order to generate efficient codes for deep learning workloads on *** experiment results show that the codes generated by swTVM achieve 1.79x improvement of inference latency on average compared to the state-of-the-art deep learning framework on Sunway,across eight representative *** work is the first attempt from the compiler perspective to bridge the gap of deep learning and Sunway processor particularly with productivity and efficiency in *** believe this work will encourage more people to embrace the power of deep learning and Sunwaymany-coreprocessor.

关键词： sunway processor deep learning compiler code generation performance optimization

考虑风电时空特性和相对波动率的平衡成本分摊方法

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电力建设 2024年第1期45卷 157-166页

作者：何义琼李鑫贾海清刘长玺刘茹谷旭东雷霞内蒙古东部电力交易中心有限公司呼和浩特市010000 西华大学电气与电子信息学院成都市610039

针对我国持续提升风电消纳能力和实现可持续发展的目标,结合电力现货市场建设需求,研究和提出了考虑风电时空特性和相对负荷功率波动对系统运行影响的风电平衡成本分摊方法。借助“等电量-顺负荷”方法构造了零风电平衡成本等效场景,对... 详细信息

针对我国持续提升风电消纳能力和实现可持续发展的目标,结合电力现货市场建设需求,研究和提出了考虑风电时空特性和相对负荷功率波动对系统运行影响的风电平衡成本分摊方法。借助“等电量-顺负荷”方法构造了零风电平衡成本等效场景,对系统进行日前优化调度,通过对比预测场景和等效场景优化调度的系统总运行成本,求解调度周期风电总平衡成本;在考虑各风电场空间分布及容量的基础上,建立了各风电场间的平衡成本分摊模型;提出了定量描述风电相对负荷波动功率时序演进特征的指标即分时段相对波动率,并给出相应的模型;基于分时段相对波动率获取局部波动影响因子对风电调度周期总平衡成本逐时段进行分摊,得到风电分时段平衡成本。以某含高比例风电地区网架结构为例,对不同风电并网容量、不同风电波动程度系统的分时段平衡成本进行了测算,验证了所提计算方法和模型的有效性。

关键词：风电平衡成本分摊分时段平衡成本风力发电优化调度分时段相对波动率

基于ABC-PID算法的变量喷雾控制系统设计与试验

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农机化研究 2024年第7期46卷 57-63页

作者：赵玉玺胡军刘昶希李宇飞王淞武志坤张伟黑龙江八一农垦大学工程学院黑龙江大庆163319 黑龙江省保护性耕作工程技术研究中心黑龙江大庆163319

针对常用流量调节式变量喷雾系统控制参数调节复杂,导致流量控制响应延迟、超调量大等问题,提出利用寻优性能好的人工蜂群算法整定PID参数,从而达到精准调节系统流量的目标,进而提高变量喷雾系统的工作性能。为验证该系统的控制效果,运... 详细信息

针对常用流量调节式变量喷雾系统控制参数调节复杂,导致流量控制响应延迟、超调量大等问题,提出利用寻优性能好的人工蜂群算法整定PID参数,从而达到精准调节系统流量的目标,进而提高变量喷雾系统的工作性能。为验证该系统的控制效果,运用MatLab进行仿真分析,发现ABC-PID控制在超调量、上升时间两方面均优于常规PID和模糊PID。在黑龙江八一农垦大学植保实验室进行室内试验,验证ABC-PID、模糊PID及常规PID的控制精度,结果表明:恒速试验平均施药量误差分别为1.3%、3.1%、4.5%,变速试验平均施药量误差分别为2.1%、3.8%、4.9%。根据上述仿真试验和室内试验结果分析,验证了ABC-PID在控制效果方面优于其他两种控制方法。结合仿真试验、室内试验分析可知:提出引入ABC算法优化常规PID控制参数,在施药量控制精度和减小超调量等方面均表现良好,可为精准变量施药技术提供新的思路。

关键词：变量喷雾 ABC-PID控制模糊PID PID

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Computer vision-aided bioprinting for bone research

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Bone Research 2022年第2期10卷 213-226页

作者： changxi liu Liqiang Wang Weijie Lu Jia liu Chengliang Yang Chunhai Fan Qian Li Yujin Tang State Key Laboratory of Metal Matrix Composites School of Material Science and EngineeringShanghai Jiao Tong UniversityNo.800 Dongchuan RoadShanghai 200240China Affiliated Hospital of Youjiang Medical University for NationalitiesBaiseGuangxi 533000China School of Chemistry and Chemical Engineering National Center for Translational MedicineShanghai Jiao Tong UniversityShanghai 200240China

Bioprinting is an emerging additive manufacturing technology that has enormous potential in bone implantation and repair. The insufficient accuracy of the shape of bioprinted parts is a primary clinical barrier that prevents widespread utilization of bioprinting,especially for bone design with high-resolution requirements. During the last five years, the use of computer vision for process control has been widely practiced in the manufacturing field. Computer vision can improve the performance of bioprinting for bone research with respect to various aspects, including accuracy, resolution, and cell survival rate. Hence, computer vision plays a substantial role in addressing the current defect problem in bioprinting for bone research. In this review, recent advances in the application of computer vision in bioprinting for bone research are summarized and categorized into three groups based on different defect types: bone scaffold process control, deep learning, and cell viability models. The collection of printing parameters,data processing, and feedback of bioprinting information, which ultimately improves printing capabilities, are further discussed. We envision that computer vision may offer opportunities to accelerate bioprinting development and provide a new perception for bone research.

关键词： printing defect implantation

Motion model for describing the quantity of air in droplets through changing the structure of air induction nozzle

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International Journal of Agricultural and Biological Engineering 2021年第5期14卷 35-40页

作者： Jun Hu changxi liu Zhichong Wang Yufei Li Jianli Song Yajia liu Xin Chu College of Engineering Heilongjiang Bayi Agricultural UniversityDaqing 163319HeilongjiangChina Heilongjiang Provincial Key Laboratory of Intelligent Agricultural Machinery Equipment Daqing 163319HeilongjiangChina Heilongjiang Province Conservation Tillage Engineering Technology Research Center Daqing 163319HeilongjiangChina College of Science China Agriculture UniversityBeijing 100193China

Air induction nozzles possess good anti-drift performance,the throat and orifice sizes of the nozzles are the main design parameters that affecting ***,Venturi tube nozzles and conventional flat fan nozzles were assembled together to investigate the flow rate,droplet size,the quantity of air in droplets affected by a single design parameter of nozzles with applying high speed camera and Spraytec laser diffraction *** results showed that:the flow rate of the air induction nozzle depended only on the throat size of Venturi tube and pressure,and it was proportional to the throat size of Venturi tube at the same pressure;The flat fan nozzle’s orifice size and Venturi tube size significantly affected volume median diameter of droplets,which generally increased after adding surfactant;A new model was established after optimizing classical equation for calculating the percentage of intake air in droplets and studying the effects of throat and orifice size of air induction nozzles on spray *** variance analysis,it was verified that the new model of quantity of air in droplets produced by all connected nozzles was *** calculation showed that the bubbles sizes ranged at 200-900μm and were in proportion to the droplet size with the percentage of intake air of 10%to 90%.Contrast to the change of volume median diameter and droplet velocity,the existence of intake air could influence their change degree to some extent.

关键词： throat orifice spray characteristic model of droplet motion air induction nozzle

Research on Fixture's Effect on Properties of Single-Shear Bolt Jointed Composite Laminates Structure

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Journal of Harbin Institute of Technology(New Series) 2017年第2期24卷 19-29页

作者： changxi liu Zhengong Zhou Xiaohong Wang Boming Zhang Centre for Composites and Structure Harbin Institute of Technology Harbin 150001 China Mechanical and Electronic Engineering Department Heilongjiang Institute of Technology Harbin 150050 China Materials Science & Engineering School Beijing University of Aeronautics & Astronautics Beijing 100194 China

The testing on the bearing strength of single-shear bolt jointed composite laminates structure is *** the effect of the fixture on the testing results is analyzed. Then a macro-micro multi-scale analytical model combined with the improved"Generalized Method of Cells( GMC) "is developed,which is used to predict the macro bearing strength and to characterize the micro constitute material failure of the bolt jointed composite laminates structure. Both the contact conditions at the bolt/hole boundary and the contact conditions at the specimen/fixture boundary,progressive damage,and the material properties degradation are all taken account into the analytical model. Thus,the numerical simulation results agree well with the experimental ***,the effect of the fixture on the testing results is characterized. The results show that the incomplete contaction between the fixture and the specimen or the lack of the lateral constraint on the specimen will affect the limited bearing strength and the offset bearing strength of the bolt jointed composite laminates structure. In addition,the lower support rigid of the fixture will affect the rigid of the bolt jointed composite laminates structure.

关键词： macro-micro multi-scale numerical analysis single-shear composite laminates structure test fixture ABAQUS GMC model user subroutine

复合材料回转壳体纤维缠绕角度设计及试验验证

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昆明理工大学学报（自然科学版） 2024年第2期49卷 31-38页

作者：王业成王馨锐王晓宏刘长喜毕凤阳王云龙姜旭东北农业大学工程学院黑龙江哈尔滨150030 黑龙江工程学院机电工程学院黑龙江哈尔滨150050

随着碳纤维增强复合材料(Carbon Fiber Reinforced Polymer/Plastic, CFRP)及其制造工艺的发展,可设计性较强的CFRP产品用来替代金属结构以实现轻量化设计,受到更多设计者的关注.以CFRP回转壳体为研究对象,基于ABAQUS建立CFRP回转壳体... 详细信息

随着碳纤维增强复合材料(Carbon Fiber Reinforced Polymer/Plastic, CFRP)及其制造工艺的发展,可设计性较强的CFRP产品用来替代金属结构以实现轻量化设计,受到更多设计者的关注.以CFRP回转壳体为研究对象,基于ABAQUS建立CFRP回转壳体有限元分析模型,探讨缠绕角度对结构力学性能的影响,并设计了两种纤维缠绕方案.通过拉伸性能分析、压缩性能分析以及加速度过载性能分析对设计结构进行强度校核,最终确定以[90°/(90°/±20°/±45°)2/90°/±20°/90°/±45°/90°]s为成型方案.采用干法缠绕工艺对该方案的CFRP回转壳体进行制作,通过试验法进行对比验证.结果表明:纤维缠绕角度为0时,CFRP回转壳体抗压性能最优;抗拉强度/模量偏差率为24.23%/18.71%,抗压强度/模量偏差率为9.56%/18.62%,过载强度模量偏差率为3.22%/2.72%,验证了有限元模型具备一定的准确性;根据安全系数计算可知,该纤维缠绕设计方案能够达到技术性能指标要求.

关键词：碳纤维复合材料回转壳体 ABAQUS 有限元纤维缠绕角度

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基于组合权重的城市轨道交通项目效益评价

交通科技与经济 2024年第1期26卷 64-71页

作者：林新宇毕凤阳刘长喜王晓宏姜旭黑龙江工程学院学术理论研究部哈尔滨150050 黑龙江工程学院机电工程学院哈尔滨150050 黑龙江工程学院工程训练中心哈尔滨150050

利用组合权重对城市轨道交通项目效益评价进行研究,以优化轨道交通建设资源分配,使前期建设规划更具有指导性、可行性。首先,选取轨道交通项目的交通效益、环境效益、社会效益三个方面的节约乘客出行时间、减少交通事故、诱增客流、节... 详细信息

利用组合权重对城市轨道交通项目效益评价进行研究,以优化轨道交通建设资源分配,使前期建设规划更具有指导性、可行性。首先,选取轨道交通项目的交通效益、环境效益、社会效益三个方面的节约乘客出行时间、减少交通事故、诱增客流、节约能源、减少环境污染、减少噪声影响、发掘经济潜力、促进国土增值和增加就业机会9个指标,构建轨道交通项目效益评价体系。然后,结合AHP(层次分析法)和CRITIC(客观权重法)各自特点,设计组合权重模型对评价指标进行组合权重计算。最后,研究选取成都轨道交通项目数据进行仿真实验。结果表明,组合权重可以弥补单一评价方法的不足,基于组合权重的评价体系得出的指标权重更具有可靠性,并为轨道交通项目前期规划设计提供一定的参考。

关键词：交通运输经济城市轨道交通组合权重效益评价交通效益环境效益社会效益

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单点渐进成形工艺参数对铝合金圆锥台表面粗糙度的影响

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黑龙江工程学院学报 2024年第2期38卷 7-11,22页

作者：刘长喜姜旭孙建华毕凤阳王晓宏解凯黑龙江工程学院机电工程学院哈尔滨150050 黑龙江工程学院工程训练中心哈尔滨150050

表面粗糙度是影响渐进成形零件质量的关键因素之一,为了探究工艺参数对零件表面粗糙度的影响,采用单点渐进成形技术对5052铝合金板料进行成形实验,研究工艺参数轴向进给量、主轴转速、进给速度对圆锥台表面质量的影响,并使用粗糙度仪测... 详细信息

表面粗糙度是影响渐进成形零件质量的关键因素之一,为了探究工艺参数对零件表面粗糙度的影响,采用单点渐进成形技术对5052铝合金板料进行成形实验,研究工艺参数轴向进给量、主轴转速、进给速度对圆锥台表面质量的影响,并使用粗糙度仪测量外表面粗糙度R_(a)值。实验结果表明:降低轴向进给量可以改善零件表面质量;随着主轴转速增大,零件粗糙度R_(a)呈先减小后增大趋势;进给速度对粗糙度R_(a)影响较小,随着进给速度增大,粗糙度R_(a)呈先减小后增大趋势,受零件尺寸限制,进给速度超过2817 mm·min^(-1)时,内表面“鱼鳞纹”和粗糙度R_(a)几乎没有变化。

关键词：渐进成形铝合金粗糙度圆锥台工艺参数

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