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Compilers and LLMs:bidirectional impact of systems and education 认领 引用
1
作者 Yu Zhang Li Zhang 《计算机教育》 2026年第6期229-236,共8页
Large language models(LLMs)are changing the way software is developed and taught.At the same time,LLMs fundamentally rely on core compiler concepts and technical foundations.This paper explores the bidirectional impac... Large language models(LLMs)are changing the way software is developed and taught.At the same time,LLMs fundamentally rely on core compiler concepts and technical foundations.This paper explores the bidirectional impact between compiler systems and LLMsÐfrom how LLMs are reshaping compiler design and usage to how compiler principles and techniques are essential for understanding,building,and teaching LLM-based systems.We further examine their implications for software engineering education and propose preliminary thoughts on integrating LLMs in future compiler courses.By bridging traditional compiler foundations with emerging AI paradigms,we advocate for reestablishing the central role of compiler education in training the next generation of intelligent system developers. 展开更多
关键词 Compiler education Large language models(LLMs) Bidirectional impact Curriculum reform
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基于EDA Compiler系统集成的芯片设计效率提升研究 认领 引用
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作者 李伟 《移动信息》 2026年第5期255-257,共3页
随着半导体产业的快速发展,芯片设计面临重大变革。在日益激烈的市场竞争环境下,设计要求的不断提升使EDA Compiler系统集成应用的价值愈发凸显。针对当前芯片设计效率存在的现实问题,文中在阐述EDA Compiler系统集成应用内涵的基础上,... 随着半导体产业的快速发展,芯片设计面临重大变革。在日益激烈的市场竞争环境下,设计要求的不断提升使EDA Compiler系统集成应用的价值愈发凸显。针对当前芯片设计效率存在的现实问题,文中在阐述EDA Compiler系统集成应用内涵的基础上,深入剖析了芯片设计效率现存的主要问题,进而从多维度提出了基于EDA Compiler系统集成应用的芯片设计效率提升策略,旨在通过优化设计流程、压缩研发周期,有效提升芯片设计效率,助力企业增强核心竞争力。 展开更多
关键词 EDA Compiler系统 集成应用 芯片设计
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Exploration and Practice of AI-Enabled Human-Machine Collaborative Teaching Mode in Compiler Courses 认领 引用
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作者 Jing Yang Lang Tao +2 位作者 Chao Gao Wanjun Wang Mingtao Wu 《Journal of Contemporary Educational Research》 2026年第5期153-158,共6页
Aiming at the problems of interdisciplinary integration,difficulty in personalized learning,and lack of real-time feedback in the traditional teaching of compiler courses,this paper proposes an AI-enabled human-machin... Aiming at the problems of interdisciplinary integration,difficulty in personalized learning,and lack of real-time feedback in the traditional teaching of compiler courses,this paper proposes an AI-enabled human-machine collaborative teaching mode and builds an intelligent AI teaching platform.This mode integrates students,teachers,and AI into an organic whole.AI provides students with personalized services such as relevant course knowledge recommendation,learning resource recommendation,and quiz push,and provides teachers with intelligent services such as automatic homework correction and learning data analysis feedback.Teaching practice analysis shows that this mode has improved students’final exam scores and learning experience. 展开更多
关键词 Compiler courses AI empowerment Human-machine collaboration Teaching practice
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IDL Compiler API Design, Application and Validation Based on XML API 认领 引用 被引量：1
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作者 NIE Nan LU Yansheng +1 位作者 ZHANG Suzhi XIE Xiaodong 《Wuhan University Journal of Natural Sciences》 CAS 2008年第1期27-32,共6页
In order to adapt different languages and platforms, the paper discusses how to process and validate IDL symbol table and intermediate code by XML API. It puts emphasis on IDL AP1 extension towards DOM API based on th... In order to adapt different languages and platforms, the paper discusses how to process and validate IDL symbol table and intermediate code by XML API. It puts emphasis on IDL AP1 extension towards DOM API based on the idea of combining XML with IDL compilers. At last, the IDL compiler designing framework based on XML AP! is given, in which compiler front end can be managed and validated by some XML techniques and tools, IDL API can be validated on the basis of test, so IDL intermediate code is provided with maintainability, portability and generation. IDL compiler can be developed and extended by XML-based API, which realizes versatility and portability of modern compiler. 展开更多
关键词 IDL compiler XML API UML
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Compiler IR-Based Program Encoding Method for Software Defect Prediction 认领 引用
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作者 Yong Chen Chao Xu +2 位作者 Jing Selena He Sheng Xiao Fanfan Shen 《Computers, Materials & Continua》 SCIE EI 2022年第9期5251-5272,共22页
With the continuous expansion of software applications,people’s requirements for software quality are increasing.Software defect prediction is an important technology to improve software quality.It often encodes the ... With the continuous expansion of software applications,people’s requirements for software quality are increasing.Software defect prediction is an important technology to improve software quality.It often encodes the software into several features and applies the machine learning method to build defect prediction classifiers,which can estimate the software areas is clean or buggy.However,the current encoding methods are mainly based on the traditional manual features or the AST of source code.Traditional manual features are difficult to reflect the deep semantics of programs,and there is a lot of noise information in AST,which affects the expression of semantic features.To overcome the above deficiencies,we combined with the Convolutional Neural Networks(CNN)and proposed a novel compiler Intermediate Representation(IR)based program encoding method for software defect prediction(CIR-CNN).Specifically,our program encoding method is based on the compiler IR,which can eliminate a large amount of noise information in the syntax structure of the source code and facilitate the acquisition of more accurate semantic information.Secondly,with the help of data flow analysis,a Data Dependency Graph(DDG)is constructed on the compiler IR,which helps to capture the deeper semantic information of the program.Finally,we use the widely used CNN model to build a software defect prediction model,which can increase the adaptive ability of the method.To evaluate the performance of the CIR-CNN,we use seven projects from PROMISE datasets to set up comparative experiments.The experiments results show that,in WPDP,with our CIR-CNN method,the prediction accuracy was improved by 12%for the AST-encoded CNN-based model and by 20.9%for the traditional features-based LR model,respectively.And in CPDP,the AST-encoded DBNbased model was improved by 9.1%and the traditional features-based TCA+model by 19.2%,respectively. 展开更多
关键词 Compiler IR CNN data dependency graph defect prediction
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Algorithms for Pre-Compiling Programs by Parallel Compilers 认领 引用
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作者 Fayez AlFayez 《Computer Systems Science & Engineering》 SCIE EI 2023年第3期2165-2176,共12页
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,o... 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. 展开更多
关键词 Compiler encryption scheduling big data algorithms
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C-CORE:Clustering by Code Representation to Prioritize Test Cases in Compiler Testing 认领 引用
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作者 Wei Zhou Xincong Jiang Chuan Qin 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第5期2069-2093,共25页
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 impo... 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%. 展开更多
关键词 Compiler testing test case prioritization code representation
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Constructing an AI Compiler for ARM Cortex-M Devices 认领 引用
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作者 Rong-Guey Chang Tam-Van Hoang 《Computer Systems Science & Engineering》 SCIE EI 2023年第7期999-1019,共21页
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 d... 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. 展开更多
关键词 Open neural network compiler backend ARM Cortex-M device handwritten digit recognition image classification
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The Implementation of the ASN.1-C++ Compiler and Its Application in IN 认领 引用 被引量：3
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作者 张海滨 艾波 《High Technology Letters》 EI CAS 1998年第2期64-67,共4页
Syntax Notation One (ASN.1) has been widely used in specifications of high level communication protocol. It is also very important for Intelligent Networks Application Protocol(INAP). This paper presents the design an... Syntax Notation One (ASN.1) has been widely used in specifications of high level communication protocol. It is also very important for Intelligent Networks Application Protocol(INAP). This paper presents the design and implementation of the ASN.1 C++ compiler. According to the ASN.1 text, this compiler can generate C++ code of functions for encoding and decoding the data types which are defined by ASN.1. These functions are based on the Basic Encoding Rules(BER) of ASN.1. They have been used in the CIN 01 and CIN 02 systems. 展开更多
关键词 ASN.1 IN Compiling C++
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Constructing a Simple Verbal Compiler 认领 引用 被引量：2
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作者 Ahmed Laarfi Veton Kepuska 《International Journal of Intelligence Science》 2020年第4期83-91,共9页
The paper’s purpose is to design and program the four operation-calculators that receives voice instructions and runs them as either a voice or text phase. The Calculator simulates the work of the Compiler. The paper... The paper’s purpose is to design and program the four operation-calculators that receives voice instructions and runs them as either a voice or text phase. The Calculator simulates the work of the Compiler. The paper is a practical example programmed to support that it is possible to construct a verbal Compiler. 展开更多
关键词 Speech Recognition Artificial Intelligence Programming Languages Compiler Construction Verbal Programming
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A High Speed Signal Processing Machine -Its Architecture, Language and Compiler 认领 引用
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作者 Wang Yufei and Yu ShiqiBeijing Institute of Data Processing Technology, P.O.Box 3927, Beijing 100039, China 《Journal of Systems Engineering and Electronics》 1991年第1期119-128,共10页
A systolic array architecture computer (FXCQ) has been designed for signal processing. R can handle floating point data at very high speed. It is composed of 16 processing cells and a cache that are connected linearly... A systolic array architecture computer (FXCQ) has been designed for signal processing. R can handle floating point data at very high speed. It is composed of 16 processing cells and a cache that are connected linearly and form a ring structure. All processing cells are identical and programmable. Each processing cell has the peak performance of 20 million floating-point operations per second (20MFLOPS). The machine therefore has a peak performance of 320 M FLOPS. It is integrated as an attached processor into a host system through VME bus interface. Programs for FXCQ are written in a high-level language -B language, which is supported by a parallel optimizing compiler. This paper describes the architecture of FXCQ, B language and its compiler. 展开更多
关键词 Parallel processing Systolic array processor Parallel language Compiler.
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CADENCE联手ARM提供更佳的RTL Compiler合成技术 认领 引用
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《电子测试（新电子）》 2004年第3期107-108,共2页
关键词 CADENCE公司 ARM公司 RTL Compiler合成技术 计算机 晶圆设计
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高性能计算与标准化的完美结合——Intel Compiler 8.0及其配套工具介绍 认领 引用
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作者 Firingme 《程序员》 2004年第3期97-102,共6页
在x86体系结构的PC里,编译代码质量最好的C++是谁,不是VC++,不是Borland C++,也不是g++,而是InterC++。本文将带你畅游这个高性能编译器的世界。体会一下无需修改程序就可提升20％性能的美妙感觉。
关键词 Intel 编译代码 Compiler8.0 编译器 C++ VC++ 编译程序
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《外用中成药临床应用药物警戒指南》编制说明 认领 引用 被引量：5
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作者 崔鑫 杨顶权 +6 位作者 谢振年 黎元元 王志飞 魏戌 高景华 王连心 谢雁鸣 《中国实验方剂学杂志》 CAS CSCD 北大核心 2026年第8期252-259,共8页
《外用中成药临床应用药物警戒指南》(T/CACM1563.5—2024)是我国首部针对外用中成药临床安全应用的专项指南,由中国中医科学院临床基础医学研究所牵头,联合全国30余家医疗科研机构共同研制。该指南旨在规范外用中成药临床应用的药物警... 《外用中成药临床应用药物警戒指南》(T/CACM1563.5—2024)是我国首部针对外用中成药临床安全应用的专项指南,由中国中医科学院临床基础医学研究所牵头,联合全国30余家医疗科研机构共同研制。该指南旨在规范外用中成药临床应用的药物警戒活动,系统梳理潜在风险并提出防控措施,涵盖风险监测与报告、信号识别、评估与控制等11个核心板块,填补了国内外该领域标准化空白。该指南编制严格遵循国际规范与国内法规,通过多轮专家咨询、混合式访谈及证据整合(涵盖文献、医保、基药、药典数据及监管信息),明确其适用范围包括医疗机构、药品生产流通企业和监管部门,聚焦药品固有风险、质量风险、超说明书用药、联合用药风险及特殊人群安全性等关键问题。编制过程中处理了适用对象界定、质量风险控制等核心分歧,确保与《药品管理法》《药物警戒质量管理规范》等法规衔接,并完成国际指南注册(PREPARE—2022CN463)。未来将通过分层宣贯、动态修订和后效评价推动指南实施,促进临床合理用药,提升患者安全保障水平。 展开更多
关键词 外用中成药 药物警戒 编制说明 指南 临床应用
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《医疗机构中药药物警戒体系建设指南》编制说明与关键内容 认领 引用 被引量：4
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作者 韦硕硕 刘福梅 +8 位作者 张力 黎元元 王志飞 赵晓晓 崔鑫 魏瑞丽 杨硕 谢雁鸣 王连心 《中国实验方剂学杂志》 CAS CSCD 北大核心 2026年第8期229-237,共9页
《医疗机构中药药物警戒体系建设指南》(T/CACM 1563.2—2024)是我国首部系统指导医疗机构构建中药特色药物警戒体系的专项指南,由中国中医科学院中医临床基础医学研究所牵头,联合全国23家权威医疗科研机构共同研制。该指南旨在规范医... 《医疗机构中药药物警戒体系建设指南》(T/CACM 1563.2—2024)是我国首部系统指导医疗机构构建中药特色药物警戒体系的专项指南,由中国中医科学院中医临床基础医学研究所牵头,联合全国23家权威医疗科研机构共同研制。该指南旨在规范医疗机构中药全生命周期(含研发、上市、使用)的药物警戒工作,构建“组织架构-制度体系-信息平台-警戒活动”四位一体框架,涵盖中药药品安全委员会设立、9项核心制度建设、符合国际人用药品注册技术协调会(ICH)E2B标准的信息化平台搭建及覆盖临床试验与上市后阶段的风险监测、识别、评估与控制等关键内容,填补了医疗机构中药安全监管系统性标准的空白。指南编制严格遵循国内外法规,通过多轮专家访谈、系统证据整合、广泛共识,明确其适用于各级医疗机构,重点解决中药因成分复杂、使用多样导致的不良反应识别难、上报率低、风险管控链条不完善等核心问题。编制过程科学严谨,确保与国家现行法规无缝衔接,并完成国际指南注册。未来将通过标准化培训、分层宣贯及发布2年后启动的后效评价与动态修订机制推动实施,以提升医疗机构中药安全风险主动防控能力,保障患者用药安全,促进中医药高质量发展。 展开更多
关键词 医疗机构 中药药物警戒 体系建设 指南 编制说明
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《中药注射剂临床应用药物警戒指南》编制说明 认领 引用 被引量：3
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作者 付常宽 王连心 +7 位作者 邹忆怀 黎明全 林亚明 孙维红 魏戌 陈明 谢雁鸣 黎元元 《中国实验方剂学杂志》 CAS CSCD 北大核心 2026年第8期238-244,共7页
《中药注射剂临床应用药物警戒指南》(以下简称“指南”)已在中华中医药学会发布,标准编号为T/CACM 1563.4—2024,是我国首部针对中药注射剂临床应用如何开展药物警戒活动的专项指南,指南由中国中医科学院中医临床基础医学研究所牵头,... 《中药注射剂临床应用药物警戒指南》(以下简称“指南”)已在中华中医药学会发布,标准编号为T/CACM 1563.4—2024,是我国首部针对中药注射剂临床应用如何开展药物警戒活动的专项指南,指南由中国中医科学院中医临床基础医学研究所牵头,联合全国30名中药药物警戒、中医(中西医结合)临床及循证医学专家共同研制,填补了国内外该领域标准文件的空白。指南的编制依据GB/T1.1—2020《标准化工作导则第1部分:标准化文件的结构和起草规则》及《WHO指南制定的基本原则和方法》等方法学规范,基于药物警戒领域的国际规范、国家法律法规及科学研究结果,采用专家访谈法、文献研究、名义群体法、德尔菲法等方法,针对药物警戒“监测”“识别”“评估”“控制”四个关键环节,对中药注射剂药物警戒活动的实施要点进行总结、明确。指南研制过程包括指南立项、国际注册、专家访谈、文献检索与评价等环节,基于以上环节的研究结果形成指南草案,再经多轮组内专家论证及56名组外专家的同行评价提出修改意见,指南工作组根据修改意见进行修改,最终形成本指南。指南于2024年1月8日起实施,为中药注射剂临床应用药物警戒工作提出建议和参考规范。为进一步推进指南的应用和普及,方便广大药物警戒人员了解本指南的编制过程,故该研究对指南的编制背景、方法学框架及关键研制步骤等过程进行说明。 展开更多
关键词 中药注射剂 中成药 药物警戒 指南 编制说明
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《冰黄肤乐软膏临床应用专家共识》编制说明 认领 引用 被引量：5
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作者 崔鑫 白彦萍 +2 位作者 宋坪 黎元元 谢雁鸣 《中国实验方剂学杂志》 CAS CSCD 北大核心 2026年第8期267-273,共7页
《冰黄肤乐软膏临床应用专家共识》编制说明详细介绍了该共识的制定方法与循证依据。为解决冰黄肤乐软膏在临床应用中存在的疗效证据不足、适宜中医证候不明确、缺乏统一规范等问题,中国中医科学院中医临床基础医学研究所、中日友好医... 《冰黄肤乐软膏临床应用专家共识》编制说明详细介绍了该共识的制定方法与循证依据。为解决冰黄肤乐软膏在临床应用中存在的疗效证据不足、适宜中医证候不明确、缺乏统一规范等问题,中国中医科学院中医临床基础医学研究所、中日友好医院、西苑医院牵头,联合全国29家单位的34位专家共同参与编制。编制过程严格遵循《世界卫生组织指南制定手册》《GB/T 1.1—2020》及《中成药临床应用专家共识编制说明编写规范》,采用GRADE证据分级体系,通过多学科协作完成。具体工作流程涵盖多个关键环节,在临床问题构建上,采用名义组法筛选出15项核心问题;证据检索覆盖中英文数据库及灰色文献,共纳入116篇临床研究与33篇药学研究;安全性评估整合药品监测数据与临床研究结果,明确了皮肤局部不良反应及禁忌证;推荐意见与共识建议形成环节,依据GRADE网格计票规则达成8条推荐意见,按多数计票规则形成16条共识建议。结果显示冰黄肤乐软膏适用于湿疹、银屑病、神经性皮炎、足癣等病症,并阐述了其辨证要点、不同病症的用法用量(如疗程调整、涂敷频次)及联合用药指征;安全性方面提示,该药慎用于皮肤破溃、过敏体质人群。为确保方法学严谨性,编制过程历经三轮组内外专家评议,综合运用文献分析、德尔菲法等方法进行综合分析。该编制说明通过立项、国际注册、知情同意与利益冲突声明、证据评价、推广宣贯等关键流程和环节,为共识的临床转化提供了方法学支撑,未来还将通过动态修订机制不断更新和完善。 展开更多
关键词 冰黄肤乐软膏 专家共识 编制说明 湿疹 银屑病 神经性皮炎 临床应用
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The new compiler stack:a survey on the synergy of LLMs and compilers 认领 引用
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作者 Shuoming Zhang Jiacheng Zhao +4 位作者 Qiuchu Yu Chunwei Xia Zheng Wang Xiaobing Feng Huimin Cui 《CCF Transactions on High Performance Computing》 EI CSCD 2026年第2期148-179,共32页
This survey has provided a systematic overview of the emerging field of LLM-enabled compilation by addressing several key research questions.We first answered how LLMs are being integrated by proposing a comprehensive... This survey has provided a systematic overview of the emerging field of LLM-enabled compilation by addressing several key research questions.We first answered how LLMs are being integrated by proposing a comprehensive,multi-dimensional taxonomy that categorizes works based on their Design Philosophy(Selector,Translator,Generator),LLM Methodology,their operational Level of Code Abstraction,and the specific Task Type they address.In answering what advancements these approaches offer,we identified three primary benefits:the democratization of compiler development,the discovery of novel optimization strategies,and the broadening of the compiler’s traditional scope.Finally,in addressing the field’s challenges and opportunities,we highlighted the critical hurdles of ensuring correctness and achieving scalability,while identifying the development of hybrid systems as the most promising path forward.By providing these answers,this survey serves as a foundational roadmap for researchers and practitioners,charting the course for a new generation of LLM-powered,intelligent,adaptive and synergistic compilation tools. 展开更多
关键词 Survey LLM Compiler Code translation Code optimization
Fast compiler autotuning framework using design of experiments 认领 引用
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作者 Chenghua Xu Jingwei Sun +3 位作者 Mengna Sai Fuxin Zhang Guangzhong Sun Weiwu Hu 《CCF Transactions on High Performance Computing》 EI CSCD 2026年第2期133-147,共15页
Compiler optimizations play a crucial role in achieving high processor performance by improving the efficiency of the machine code they generate through better algorithms and strategies.These optimizations ultimately ... Compiler optimizations play a crucial role in achieving high processor performance by improving the efficiency of the machine code they generate through better algorithms and strategies.These optimizations ultimately increase program execution efficiency.Over the past few decades,numerous compiler optimizations have been integrated into compilers,addressing research topics such as instruction scheduling and register allocation.However,selecting the optimal combination of compiler optimization options from a vast number of possibilities remains a challenging task.We proposed a Fast Compiler Autotuning Framework(FCAF),leveraging the systematic application of Design of Experiments(DoE)methods to rapidly narrow down the search space,aimed at efficiently enhancing the effectiveness of auto-tuning optimizations.FCAF achieves performance improvements comparable to state of the art tuning tools while significantly reducing tuning time on LoongArch and X86 platforms.Moreover,we used the orthogonal array design method to select a universal set of compilation options and applied these to the SPEC CPU 2006 benchmark suite.When compared to the GCC-O2 baseline,it increases by 3.89%for integer tasks and by 15.27%for floating-point tasks in benchmark scores.Further validation with real-world HPC applications confirms consistent performance gains. 展开更多
关键词 Compiler optimization Auto tuning Search space pruning
Architectural design of MDX compiler via attribute-driven design 认领 引用
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作者 ZHANG Ping-jian XI Jian-qing ZHAO Juan-juan 《通讯和计算机（中英文版）》 2009年第7期1-5,共5页
MDX is a language that expresses selections, calculations, and some metadata definitions against an Online Analytical Processing （OLAP） database. As the user interface with OLAP, the MDX complier is a major componen... MDX is a language that expresses selections, calculations, and some metadata definitions against an Online Analytical Processing （OLAP） database. As the user interface with OLAP, the MDX complier is a major component of the OLAP analysis server. This paper addresses the system design of MDX compiler via the ADD method, meaning that system requirements, including functional and quality requirements and constraints, are considered as drivers in the design process. The output architecture satisfies not only that the functional requirements but also the important qualities the system must possess. 展开更多
关键词 MDX 计算机 编译器 OLAP
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