Algorithms for Pre-Compiling Programs by Parallel Compilers

The paper addresses the challenge of transmitting a big number offiles stored in a data center(DC),encrypting them by compilers,and sending them through a network at an acceptable time.Face to the big number offiles,only one compiler may not be sufficient to encrypt data in an acceptable time.In this paper,we consider the problem of several compilers and the objective is tofind an algorithm that can give an efficient schedule for the givenfiles to be compiled by the compilers.The main objective of the work is to minimize the gap in the total size of assignedfiles between compilers.This minimization ensures the fair distribution offiles to different compilers.This problem is considered to be a very hard problem.This paper presents two research axes.Thefirst axis is related to architecture.We propose a novel pre-compiler architecture in this context.The second axis is algorithmic development.We develop six algorithms to solve the problem,in this context.These algorithms are based on the dispatching rules method,decomposition method,and an iterative approach.These algorithms give approximate solutions for the studied problem.An experimental result is imple-mented to show the performance of algorithms.Several indicators are used to measure the performance of the proposed algorithms.In addition,five classes are proposed to test the algorithms with a total of 2350 instances.A comparison between the proposed algorithms is presented in different tables discussed to show the performance of each algorithm.The result showed that the best algorithm is the Iterative-mixed Smallest-Longest-Heuristic(ISL)with a percentage equal to 97.7%and an average running time equal to 0.148 s.All other algorithms did not exceed 22%as a percentage.The best algorithm excluding ISL is Iterative-mixed Longest-Smallest Heuristic(ILS)with a percentage equal to 21,4%and an average running time equal to 0.150 s.

C-CORE:Clustering by Code Representation to Prioritize Test Cases in Compiler Testing

Edge devices,due to their limited computational and storage resources,often require the use of compilers for program optimization.Therefore,ensuring the security and reliability of these compilers is of paramount importance in the emerging field of edge AI.One widely used testing method for this purpose is fuzz testing,which detects bugs by inputting random test cases into the target program.However,this process consumes significant time and resources.To improve the efficiency of compiler fuzz testing,it is common practice to utilize test case prioritization techniques.Some researchers use machine learning to predict the code coverage of test cases,aiming to maximize the test capability for the target compiler by increasing the overall predicted coverage of the test cases.Nevertheless,these methods can only forecast the code coverage of the compiler at a specific optimization level,potentially missing many optimization-related bugs.In this paper,we introduce C-CORE(short for Clustering by Code Representation),the first framework to prioritize test cases according to their code representations,which are derived directly from the source codes.This approach avoids being limited to specific compiler states and extends to a broader range of compiler bugs.Specifically,we first train a scaled pre-trained programming language model to capture as many common features as possible from the test cases generated by a fuzzer.Using this pre-trained model,we then train two downstream models:one for predicting the likelihood of triggering a bug and another for identifying code representations associated with bugs.Subsequently,we cluster the test cases according to their code representations and select the highest-scoring test case from each cluster as the high-quality test case.This reduction in redundant testing cases leads to time savings.Comprehensive evaluation results reveal that code representations are better at distinguishing test capabilities,and C-CORE significantly enhances testing efficiency.Across four datasets,C-CORE increases the average of the percentage of faults detected(APFD)value by 0.16 to 0.31 and reduces test time by over 50% in 46% of cases.When compared to the best results from approaches using predicted code coverage,C-CORE improves the APFD value by 1.1% to 12.3% and achieves an overall time-saving of 159.1%.

THEORY AND PRACTICE FOR COMPILING THE ATLAS OF NATURAL DISASTERS IN CHINA

This article inquires into theoretical and practical problems on compilation of an atlas of regional natural disasters. (1) The basic theory of compiling an atlas of regional disasters has been founded on the combination of the sciences of disasters, cartography and regional geogrphy. The content structure of a regional disaster atlas should be composed of at least the following five parts:hazard-formative environments and hazard-affected bodies,hazards, disaster effects, monitoring and warning system for natural disasters, and countermeasures for natural disaster reduction. (2) Contents of cartographic design of a regional disaster atlas should be composed of at least the following five parts: base map system, cartographic representation, Symbol System, color system, map edition and map layout system. (3) Based on theory and cartographic design of compiling an atlas of regional disaster, the Atlas of Natural Disater in China, which reveals objectively the temporal and spaial pattern of regional natural disasters of China,has been compiled and published.

Analysis on Establishing Urban Cemetery Planning and Compiling System

Currently,there are many problems in construction of urban cemetery like improper location,low land utilization,backward greening facilities and imperfect cemetery management,which have greatly affected people's normal production and life. This article discusses the establishment of a sustainable city cemetery planning and compiling system from three levels of " macro-view,medium-view and micro-view" in order to perfect the present cemetery system.

CCOC：An Optimizing Compiling System for Concurrent C Supporting Inter－process Code Analysis and Optimization

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Compiling distribution of karst in Southern China and Southeast Asia

As China and Southeast Asian countries have accelerated and globalized their economic development, karst environmental problems have become increasingly prominent and studying on and compiling maps of karst geology is quite important. Therefore, based on a wide collection of data in Southeast Asian countries, a cooperative map compilation has been carried out internationally. Through comprehensive research and analysis, a unified understanding has been achieved in terms of compiling principles, contents and representing methods, Distribution of Karst in Southern China and Southeast Asia(1/5 000 000) has been compiled, which provides foundations for environmental protection and scientific studies of karst geology.

An investigation on compiling opinions on and suggestions for a biochemistry textbook from nursing undergraduates

Objective： To compile nursing undergraduates＇ opinions and suggestions for biochemistry textbook to improve the readability and applicability of a textbook of biochemistry. Methods： This investigation involved 279 nursing undergraduates through delivery of a self-made questionnaire, which was to be used to analyze and study the students＇ suggestions and opinions on the content of the biochemistry textbook. Results： The investigation revealed that the textbook＇s difficulty was associated negatively with stu- dents＇ interest （P 〈 0.05）, and the textbook＇s importance was associated positively with students＇ interest （P 〈 0.05）. Students suggested that the textbook should be closely related to nursing. The contents, difficulty, structure and charts of the textbook should be adjusted properly. Conclusions： The content of the nursing version of the biochemistry textbook should be driven by the needs of the nursing major and should focus on simplifying the textbook＇s content, and making it practical. This will make the textbook vivid and readable, enhancing the interest of students to accept and benefit from the textbook.

Optimization process of compiling and researching archivesin universities under the background of information sharing

Intemet era, mutual sharing, low cost, unlimited time and geographical restrictions on network dissemination, to the public toprovide a new way of entertainment experience and sharing in the network information resources at the same time, also highlights importantdrawbacks, mainly reflected the contradiction between resource sharing and copyright protection, sharing is often cyber source violated theright to network dissemination of information to the original author. With the rapid development of the Internet, the seriousness of this problemis becoming increasingly prominent. Based on the information construction of university archives management as the center to carry outresearch, improve the service level of university archives from the first two aspects discusses the necessity of the information constructionof the archives management, promoting the development of colleges and universities. Secondly introduces specific measures of realizing theinformatization construction of university archives management and archives management standardization, digitization, archives informationnetwork construction, the archives management personnel to conduct a comprehensive training. The fixed assets of university is an important partof the state-owned assets, and its asset management level is directly related to the safety of state-owned assets, the use efficiency of assets and thepromotion of the teaching and research level in universities. The university fixed assets data information management is an important aspect ofasset management, it provides decision-making basis for the management of fixed assets in colleges and universities, affecting the efficiency ofthe entire asset management.

World Journal of Acupuncture-Moxibustion Announcement of Compiling the Special Issue of Acupuncture in the Whole World——Global Events Record of Acu-Moxi

Commemorate the 20th Anniversary of the Foundation of World Federation of Acupuncture-Moxibustion Societies (WFAS)ABSTRACT During the past 30 years, acupuncture has developed a lot in the whole world. The international group of acupuncture has been enlarged and a new page was created in the cause of human health and medicine. At the eve of "The 20th Anniversary of the Foundation of WFAS—International Acupuncture Congress", in order to show the achievements in the circle of acupuncture and set up a new image of global acupuncture circle, expand the influence of acupuncture, promote international cooperation, World Journal of Acupuncture-Moxibustion will print a Special Issue in large scale, Acupuncture in the Whole World—Global Events Record of Acu-Moxi and calling for articles starts from now on.

Current status and innovation attempt of compiling textbooks of Chinese medicine in medical colleges in China

At present,there are two modes in the compilation of textbooks of traditional Chinese medicine,one is stuck in one's own way and the other is to copy Western medicine completely.The reason is that the textbooks of traditional Chinese medicine colleges and universities are reduced into a hodger with no purpose,or the other is to cater to Western medicine system and give up the academic system of traditional Chinese medicine and lose the essence of traditional Chinese medicine.Through the"diagnosis and treatment strategy"and"knowledge link"of the new Chinese medicine textbooks,the author tries to make a breakthrough in the compilation,and puts forward the compilation ideas of rectifying the position of Chinese medicine textbooks,starting from the learning thinking of Western medicine students,and reflecting the characteristics of Chinese medicine and modern research results.

Constructing an AI Compiler for ARM Cortex-M Devices

The diversity of software and hardware forces programmers to spend a great deal of time optimizing their source code,which often requires specific treatment for each platform.The problem becomes critical on embedded devices,where computational and memory resources are strictly constrained.Compilers play an essential role in deploying source code on a target device through the backend.In this work,a novel backend for the Open Neural Network Compiler(ONNC)is proposed,which exploits machine learning to optimize code for the ARM Cortex-M device.The backend requires minimal changes to Open Neural Network Exchange(ONNX)models.Several novel optimization techniques are also incorporated in the backend,such as quantizing the ONNX model’s weight and automatically tuning the dimensions of operators in computations.The performance of the proposed framework is evaluated for two applications:handwritten digit recognition on the Modified National Institute of Standards and Technology(MNIST)dataset and model,and image classification on the Canadian Institute For Advanced Research and 10(CIFAR-10)dataset with the AlexNet-Light model.The system achieves 98.90%and 90.55%accuracy for handwritten digit recognition and image classification,respectively.Furthermore,the proposed architecture is significantly more lightweight than other state-of-theart models in terms of both computation time and generated source code complexity.From the system perspective,this work provides a novel approach to deploying direct computations from the available ONNX models to target devices by optimizing compilers while maintaining high efficiency in accuracy performance.

中国医院协会《中国医院质量安全管理》团体标准编制与应用实践研究

中国医院协会以医疗质量安全为主题,组织开展《中国医院质量安全管理》系列团体标准编制与应用建设。文章从标准建设背景、编制特点、应用模式等方面进行阐释,并对编制中的问题进行探讨,提出提高团体标准质量及扩展应用路径和方式,充分发挥团体标准作用和价值等思考。

汉语词典学研究70年

从词典学理论与价值研究、词典编纂与修订研究、词典编纂的个案研究、词典编纂的方法创新四个方面梳理汉语词典学研究70年来的发展脉络,回顾汉语词典学的研究情况,继而得出词典学研究具有以编纂实践为基础、研究阶段特点明显和期刊发表阵地集中的特点,同时分析汉语词典学的研究趋势,并对其未来发展提出若干建议。

外销绸缎样本的版本形制及编撰特征考略(1957—1985年)

外销绸缎样本是丝绸设计文化、丝绸贸易的主要传播载体之一,也是研究现代丝绸设计史的重要档案文献。文章以中国丝绸公司1957—1985年编纂发行的系列外销绸缎样本为例,运用现代版本学、档案学、文献学等研究方法,从“版本学”的角度对其编撰主体、版本形制、各时期的编撰特征等进行考证和阐述,解决了现代绸缎设计史研究中,面对众多无时间标注单页绸缎样本难以判断具体年代的困惑与问题,为甄别不同时期、不同主体编撰的单页绸缎样本提供了翔实、准确的文献考证和图文参照。

铁路技术站阶段计划与钩计划一体化编制实验系统设计

随着我国铁路技术站信息化水平的不断提高,对培养具备基础知识、专业技能、应用能力、信息素养的学员(学生和铁路技术人员)提出了更高要求。为提高学员制定技术站作业计划的能力,研究阶段计划与钩计划的编制方法及相互关系,提出阶段计划与钩计划一体化编制思想,建立具备人机交互式阶段计划与钩计划一体化编制功能和智能辅助决策功能的实验系统。阐述了该系统的逻辑模型、组成及其功能。该系统已应用于行车组织课程设计实验中,有效提高了培训及教学的效率和效果。

基于遗传算法的炮击振动环境谱编制方法

为了提高炮击振动环境谱编制精度,提出了基于遗传算法(genetic algorithm,简称GA)的炮击振动环境谱特征点确定方法。首先,介绍了现有标准的预估炮击振动谱的编制方法;其次,以炮舱结构模拟件为对象,开展了炮击振动试验并获取了实测谱,基于飞机飞行振动环境测量数据的归纳方法对实测谱进行了归纳处理;然后,以特征点构成的环境谱与实测数据归纳谱的能量最接近为目标建立目标函数,采用遗传算法对目标函数进行优化以确定炮击振动谱特征点坐标,在对数坐标下通过折线将特征点连接以实现炮击振动环境谱的编制;最后,将基于遗传算法得到的环境谱与基于标准得到的预估谱进行对比,分析验证了所提方法的有效性。结果表明,所采用的方法获得的炮击振动环境谱在均方根值(rootmean square,简称RMS)和谱形特征上都更接近实测数据归纳谱。

数字经济发展对中国CPI编制的挑战与应对策略研究

近年来,我国数字经济发展势头强劲,对经济的贡献程度不断提高,逐步成为我国经济创新转型的新引擎。传统产品质量提升、新型商业模式涌现、产品更替速度加快、产品销售渠道升级以及个性化定制的推广等现象都给居民消费价格指数(CPI)的准确测度带来挑战。本文系统论述了数字经济背景下产品界定与分类、新产品入市、定价模式创新以及基期轮换对CPI编制的直接挑战,产品质量变动、商业模式变更、免费品价格确定以及数据结构复杂化对CPI编制的间接挑战,明确了现阶段我国CPI编制过程中可能存在的难点。在此基础上,从产品范围更新、轮换基期调整、产品质量调整、价格数据获取以及价格指数发布五个方面,提出了改进我国CPI编制的应对策略,以期进一步提升我国CPI的合理性与规范性。指标粒度方面,强调编制分类指数对分析细化和名义指标缩减的理论实践意义;指标维度方面,提倡针对不同人群、地区、销售方式等多种标志设置针对性指标的政策指导意义;指标效度方面,强化借助大数据技术实时记录、瞬时传输的优势,提升指标时效性、预测结果有效性的统计监测意义。