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.

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

ＣＣＯＣ：ＡｎＯｐｔｉｍｉｚｉｎｇＣｏｍｐｉｌｉｎｇＳｙｓｔｅｍｆｏｒＣｏｎｃｕｒｒｅｎｔＣＳｕｐｐｏｒｔｉｎｇＩｎｔｅｒ－ｐｒｏｃｅｓｓＣｏｄｅＡｎａｌｙｓｉｓａｎｄＯｐｔｉｍｉｚａｔｉｏｎＭＥＮＧＤａｎ；ＧＵＯＦｕｓｈｕｎ；孟丹，郭福顺（Ｄｅｐｔ...

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.

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.

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.

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.

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.

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.

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.

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%.

Compiling CIL Rewriting Language for Multiprocessors

The highlevel Compiler Intermediate Language CIL is a generalpurpose descripotion language of parallel graph rewriting computational model intended for parallelimplementatioll of declarative languages on multiprocessor systems. In this paper, wefirst outline a new Hybrid Execution Model(HEM) and corresponding parallel abstract machine PAM/TGR based on Extended parallel Graph Rewriting ComputationalModel EGRCM for implementing CIL language on distributed memory multiprocessorsystems. Then we focus on the compiling CIL language with various optindzing techniques such as pattern matching, rule indexing, node ordering and compile-time partialscheduling. The experimental results on a 16-node Thansputer Array demonstrates the effectiveness of our model and strategies.

Compiling Life-Oriented Moral Education Textbooks for Elementary Schools in China:The Mimetic Approach in Morality and Law

Purpose:This study explores a novel approach to compiling life-oriented moral textbooks for elementary schools in China,specificallyfocusing onMorality and Law.Design/Approach/Methods:Adopting Aristotle's Poetics as its theoretical perspective,this study illustrates and analyzes the mimetic approach used in compiling the life-oriented moral education textbook,Morality and Law.Findings:The mimetic approach involves imitating children's real activities,thoughts,and feelings in textbooks.The mimetic approach to compiling life-oriented moral textbooks comprises three strategies:constructing children's life events as building blocks for textbook compilation,designing an intricate textual device exposing the wholeness of children's life actions,and designing inward learning activities leading to children's innerworlds.Originality/Value:From the perspective of Aristotle's Poetics,the approach to compilation in Morality and Law can be defined as mimetic.And the compilation activity in the life-oriented moral education textbook also can be described as a process ofmimesis.So this article presents a new approach to compile moral education textbooks and an innovative way to understand the nature of one compiling activity.

危险化学品重大危险源辨识分级系统V1.0的研究与实现

危险化学品的存在给人们的生命和财产带来了潜在的风险,因此,开发一款能快速准确识别危险化学品重大危险源并进行风险分级评估的软件,对保障人民群众的生命安全和防止危险化学品事故的发生至关重要。基于MATLAB Compiler开发了危险化学品重大危险源辨识分级系统V1.0,该系统能够快速识别危险化学品的临界量和校正系数,并通过输入实际存在量,完成危险化学品的重大危险源辨识。同时,该系统还能够根据用户输入的校正系统,计算重大危险源分级指标。该系统具有操作简单、响应速度快、准确度高等优点,在危险化学品生产、储存、运输等领域有着广泛的应用前景。

Optimization and Deployment of Memory-Intensive Operations in Deep Learning Model on Edge

As a large amount of data is increasingly generated from edge devices,such as smart homes,mobile phones,and wearable devices,it becomes crucial for many applications to deploy machine learning modes across edge devices.The execution speed of the deployed model is a key element to ensure service quality.Considering a highly heterogeneous edge deployment scenario,deep learning compiling is a novel approach that aims to solve this problem.It defines models using certain DSLs and generates efficient code implementations on different hardware devices.However,there are still two aspects that are not yet thoroughly investigated yet.The first is the optimization of memory-intensive operations,and the second problem is the heterogeneity of the deployment target.To that end,in this work,we propose a system solution that optimizes memory-intensive operation,optimizes the subgraph distribution,and enables the compiling and deployment of DNN models on multiple targets.The evaluation results show the performance of our proposed system.

A Multi-Object Genetic Algorithm for the Assembly Line Balance Optimization in Garment Flexible Job Shop Scheduling

Numerous clothing enterprises in the market have a relatively low efficiency of assembly line planning due to insufficient optimization of bottleneck stations.As a result,the production efficiency of the enterprise is not high,and the production organization is not up to expectations.Aiming at the problem of flexible process route planning in garment workshops,a multi-object genetic algorithm is proposed to solve the assembly line bal-ance optimization problem and minimize the machine adjustment path.The encoding method adopts the object-oriented path representation method,and the initial population is generated by random topology sorting based on an in-degree selection mechanism.The multi-object genetic algorithm improves the mutation and crossover operations according to the characteristics of the clothing process to avoid the generation of invalid offspring.In the iterative process,the bottleneck station is optimized by reasonable process splitting,and process allocation conforms to the strict limit of the station on the number of machines in order to improve the compilation efficiency.The effectiveness and feasibility of the multi-object genetic algorithm are proven by the analysis of clothing cases.Compared with the artificial allocation process,the compilation efficiency of MOGA is increased by more than 15%and completes the optimization of the minimum machine adjustment path.The results are in line with the expected optimization effect.

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.

IOPS:computational graph optimization based on inter-operators parallel scheduling

To improve the inference efficiency of convolutional neural networks(CNN),the existing neural networks mainly adopt heuristic and dynamic programming algorithms to realize parallel scheduling among operators.Heuristic scheduling algorithms can generate local optima easily,while the dynamic programming algorithm has a long convergence time for complex structural models.This paper mainly studies the parallel scheduling between operators and proposes an inter-operator parallelism schedule(IOPS)scheduling algorithm that guarantees the minimum similar execution delay.Firstly,a graph partitioning algorithm based on the largest block is designed to split the neural network model into multiple subgraphs.Then,the operators that meet the conditions is replaced according to the defined operator replacement rules.Finally,the optimal scheduling method based on backtracking is used to schedule the computational graph.Network models such as Inception-v3,ResNet-50,and RandWire are selected for testing.The experimental results show that the algorithm designed in this paper can achieve a 1.6×speedup compared with the existing sequential execution methods.

Research on the Significance and Problems of Heroes in the Textbook

A large number texts depicting heroes have been compiled in the ministry edition of Chinese textbooks in junior high school,such as Deng Jiaxian,a scientist who has ardent love for the motherland and is fearless of difficulties and dangers;Wen Yiduo,a patriot who is devoted to study and has a strong sense of righteousness;Ye Shengtao,a scholar who is noted for his meticulous scholarship and attends to everything personally;Alizer Buffy,an unknown old man who is devoted to tree-planting in obscurity,and so on.The analysis,understanding and reading of these heroic stories and the interpretation of the significance and value of the selection of heroic images into Chinese textbooks are conducive to grasping the core quality of Chinese courses and improving the teaching of heroic images;inheriting and carrying forward the fine civilization and historical and cultural traditions of mankind,and establishing national cultural self-confidence and pride;perfecting the value system of educators and empowering students to grow healthily;guiding teenagers with immature values to establish healthy and upward values.