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SICAS2: Interactive Tool to Support programming Learning 24

SICAS2: Interactive Tool to Support Programming Learning

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international symposium on Computers in Education (SIIE)

作者： Ferreira, Alexandre Gomes, Anabela Mendes, Antonio Jose Univ Coimbra Dept Informat Engn Coimbra Portugal Univ Coimbra Polytech Inst Coimbra ISEC Coimbra Portugal Univ Coimbra Ctr Informat & Syst CISUC Coimbra Portugal

ISBN: (数字)9781665474641

ISBN: (纸本)9781665474641

In the last decades the area of informatics had an exponential growth. This led to a high number of young students being attracted to higher education courses in the IT area. However, many students face difficulties when they have to learn programming. This often causes frustration and even dropout for many students. This paper presents a tool designed plugin that allows students to build programs using flowcharts and see the animation of the execution of those programs. The main objective is to facilitate the comprehension and application of basic programming concepts in programs that may solve common introductory problems.

关键词： Algorithm animation Visualization systems programming Teaching and Learning Computer Science Education.

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MEMSYS 2024 - Proceedings of the international symposium on Memory systems

MEMSYS 2024 - Proceedings of the International Symposium on ...

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10th international symposium on Memory systems, MEMSYS 2024

ISBN: (纸本)9798400710919

The proceedings contain 26 papers. The topics discussed include: Pimacolaba: collaborative acceleration for FFT on commercial processing-in-memory architectures;characterization and design of 3D-stacked memory for image signal processing on AR/VR devices;data prefetching on processors with heterogeneous memory;UpDown: a novel architecture for unlimited memory parallelism;measuring data access latency in large CPU caches;implementation of a two-level programmable cache emulation and test system;programming the future: the essential role of system topology awareness in heterogeneous disaggregated environments;using isoefficiency as a metric to assess disaggregated memory systems for high performance computing;and a workflow for the synthesis of irregular memory access microbenchmarks.

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Advancing Smart Urban Futures in the Healthcare Sector 21st

Advancing Smart Urban Futures in the Healthcare Sector

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21st international symposium on Distributed Computing and Artificial Intelligence

作者： Alves, Vitor Marreiros, Goreti Fdez-Riverola, Florentino Neves, Jose Ribeiro, Jorge Vicente, Henrique Inst Politecn Viana Castelo ADiT LAB Viana do Castelo Portugal Univ Vigo Dept Comp Sci ESEI Escuela Super Ingn Informat CINBIO Orense 32004 Spain SERGAS UVIGO Galicia Hlth Res Inst IIS Galicia SING Res Grp Vigo Spain Inst Super Engenharia Porto Dept Engenharia Informat Porto Portugal Univ Minho Centro Algoritmi LASI Braga Portugal Inst Politecn Saude Norte CESPU Famalicao Portugal Univ Evora Dept Quim Bioquim Escola Ciencias & Tecnol REQUIMTE LAQV Evora Portugal

ISBN: (纸本)9783031809453;9783031809460

As urban development stands on the brink of a new epoch, the imperative exploration of artificial intelligence, logic programming, and entropy demands visionary planning, ethical conduct, and a deep appreciation of their far-reaching impact when synergized within smart city frameworks. This study delves into the complex relationship between artificial intelligence, logic programming, and entropy, highlighting their pivotal role in advancing smart cities towards operational excellence and evolutionary success. By harnessing artificial intelligence's understanding of human emotions and sentiments, urban centers are redefining city living. Employing cutting-edge technologies not only empowers healthcare innovation but also improves city planning, public safety, transit systems, and environmental management, significantly enhancing the quality of life for citizens. The key finding of this study underscores the importance of addressing challenges inherent in such integration, particularly in healthcare, leading to a high degree of citizens' wellbeing.

关键词： Artificial Intelligence Logic programming Entropy Smart Cities Urban Life Sentiments and Feelings Healthcare Citizens Wellbeing

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Optimal Decision Tree Design for Near Real-Time Control of Battery Energy Storage systems 26

Optimal Decision Tree Design for Near Real-Time Control of B...

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26th international symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2024

作者： Handel, Katrin Anitha, Angellina Ebenezer Rigo-Mariani, Remy Schulte, Katrin Haubrock, Jens University of Applied Sciences and Arts Bielefeld Institute for Technical Energy Systems Bielefeld Germany University Grenoble Alpes CNRS Grenoble INP G2Elab Grenoble France

ISBN: (纸本)9798331532833

The increasing numbers of distributed energy resources (DER) incur new challenges for the energy supply due to the volatilities and uncertainties of renewable energies. To utilize the benefits of DER, a combination with storage systems and intelligent controls is necessary. Commonly used control methods are based on Model Predictive Control (MPC) with forecast and optimization, which require computational capabilities at the DER on a level, on which the distribution system operator (DSO) has no access. This paper proposes a control algorithm based on data, which combines a model-based and an artificial intelligence (AI) based approach to utilize benefits from both methods while compensating for their drawbacks. Mixed-Integer Quadratic programming (MIQP) is used to generate training and testing data for a decision tree (DT). The investigation of the optimal composition of the training data and the optimal architecture of the DT are the main focus of this paper. © 2024 IEEE.

关键词： Mixed-integer linear programming

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First-Person Choreographic programming with Continuation-Passing Communications 34th

First-Person Choreographic Programming with Continuation-Pas...

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34th European symposium on programming, ESOP 2025, which was held as part of the international Joint Conferences on Theory and Practice of Software, ETAPS 2025

作者： Jongmans, Sung-Shik University of Groningen Groningen Netherlands

ISBN: (纸本)9783031911200

Choreographic programming (CP) is a method to implement distributed systems that ensures communication deadlock freedom by design. To use CP, though, the number of processes and the network among them must be known statically. Often, that information is known only dynamically. Thus, existing CP languages cannot be used to implement process-parametric distributed systems. This paper introduces first-person choreographic programming (1CP) to support the implementation of process-parametric distributed systems while also ensuring communication deadlock freedom. We present both a design of 1CP (new calculus, formalised in Isabelle/HOL) and an implementation (new language and tooling, integrated in VS Code). © The Author(s) 2025.

关键词： Message passing

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Fast Orbit Maneuvering Optimization for Network Satellite Observations of Ground Targets 3

Fast Orbit Maneuvering Optimization for Network Satellite Ob...

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3rd international symposium on Aerospace Engineering and systems, ISAES 2024

作者： Xiong, Zhuangzhuang Pu, Pengyu Wang, Hui Chen, Qifeng Central South University Changsha China Beijing Institute of Astronautical Systems Engineering Beijing China

ISBN: (纸本)9798350350418

When a satellite is used to perform an Earth observation mission, orbital maneuvers are important when the moving target exceeds the maximum coverage field of the satellite-lite. Fast response observation is achieved by a noncoplanar orbital maneuver. First, the minimum geocentric angle distance between the satellite point trajectory and the target point trajectory is determined via the two-body model, and the time required for the maneuvering satellite to fly over the target point is analytically obtained. On the premise of not changing the shape of the satellite orbit plane, the fastest arrival time of orbit transfer to the target is obtained. Under the condition of satisfying the maximum impulse constraint, the initial satellite orbit change time and the required velocity increments are calculated by the objective function of the minimum fuel consumption and the fastest arrival time. According to the observation of satellites maneuvering to multiple targets, the minimum impulse of satellites maneuvering to the target is obtained. The target allocation of satellites that need to maneuver to each target is performed by using zero-one integer programming. Then, the problem is transformed into an optimization of multiple satellites to single-target maneuvering, and the optimal maneuvering satellites and the required impulse of each target point are obtained. © 2024 IEEE.

关键词： Integer programming

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Enabling Multi-threading in Heterogeneous Quantum-Classical programming Models

Enabling Multi-threading in Heterogeneous Quantum-Classical ...

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37th IEEE international Parallel and Distributed Processing symposium (IPDPS)

作者： Hayashi, Akihiro Adams, Austin Young, Jeffrey McCaskey, Alexander Dumitrescu, Eugene Sarkar, Vivek Conte, Thomas M. Georgia Inst Technol Atlanta GA 30332 USA NVIDIA Corp Santa Clara CA USA Oak Ridge Natl Lab Oak Ridge TN USA

ISBN: (纸本)9798350311990

While quantum computers enable significant performance improvements for certain classes of applications, building a well-defined programming model has been a pressing issue. In this paper, we address some of the key limitations to realizing a generic heterogeneous parallel programming model for quantumclassical heterogeneous platforms. We discuss our experience in enabling user-level multi-threading in QCOR [1] as well as challenges that need to be addressed for programming future quantum-classical systems. Specifically, we discuss our design and implementation of introducing C++-based parallel constructs to enable 1) parallel execution of a quantum kernel with std::thread and 2) asynchronous execution with std::async. To do so, we provide a detailed overview of the current implementation of the QCOR programming model and runtime, and discuss how we add 1) thread-safety to some of its user-facing API routines, and 2) increase parallelism in QCOR by removing data races that inhibit multi-threading so as to better utilize available computing resources. We also present preliminary performance results with the Quantum++ [2] back end on a single-node Ryzen9 3900X machine that has 12 physical cores (24 hardware threads) with 128GB of RAM. The results show that running two Bell kernels with 12 threads per kernel in parallel outperforms running the kernels one after the other each with 24 threads (1.63x improvement). In addition, we observe the same trend when running two Shor's algorthm kernels in parallel (1.22x faster than executing the kernels one after the other). Furthermore, the parallel version is better in terms of strong scalability. We believe that our design, implementation, and results will open up an opportunity not only for 1) enabling quicker prototyping of parallel-aware quantum-classical algorithms on quantum circuit simulators in the short-term, but also for 2) realizing a generic parallel programming model for quantumclassical heterogeneous platforms in

关键词： Quantum-Classical programming Models Parallel programming Models QCOR Heterogeneous Computing

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Evaluation of programming Models and Performance for Stencil Computation on GPGPUs

Evaluation of Programming Models and Performance for Stencil...

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1st international Conference on Smart Energy systems and Artificial Intelligence (SESAI)

作者： Shan, Baodi Araya-Polo, Mauricio TotalEnergies EP Res & Technol US LLC Houston TX 77002 USA SUNY Stony Brook Stony Brook NY 11794 USA

ISBN: (纸本)9798350364613;9798350364606

GPGPUs arc widely used in high-performance computing. Therefore, it is crucial to experiment and discover how to better utilize their latest generations of relevant applications. In this paper, we introduce highly tuned stencil-based kernels for NVIDIA MOO and HUM (of a GH200) GPGPUs. Performance results yield useful insights into the behavior of this type of computation for these new accelerators. This knowledge can be leveraged by many scientific applications which involves stencil computations. Further, evaluation of three different programming models: CUDA, OpenACC, and OpenMP target offloading is conducted on aforementioned accelerators. We extensively study the performance and portability of various kernels under each programming model and provide corresponding optimization recommendations. Furthermore, we compare the performance of different programming models on the mentioned architectures. Up to 58% performance improvement was achieved against the previous GPGPU generation for a highly optimized kernel of the same class, and up to 42% for all classes. In terms of programming models, and keeping portability in mind, optimized OpenACC implementation outperforms OpenNIP implementation by 33%. If portability is not a factor, the best CUDA implementation outperforms the optimized OpenACC one by 2.1 x.

关键词： stencil computation GPGPU CUDA OpenMP

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SQP-Based Multi-Objective Optimization Using Approximate Gradient 3

SQP-Based Multi-Objective Optimization Using Approximate Gra...

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3rd international symposium on Aerospace Engineering and systems, ISAES 2024

作者： Liu, Miao Qian, Ruizhan Lei, Wutao Wei, Jianlong Avic The First Aircraft Institute The General Configuration and Aerodynamic Design and Research Department Xi'an China

ISBN: (纸本)9798350350418

In the engineering environment, aerodynamic design tends to face the problem of finding the optimal value under multiple objectives and multiple constraints, so the huge computational cost expenditure which mainly caused by enormous repeated gradient calculations becomes the biggest obstacle for the application of aerodynamic optimization. In this paper, an efficient optimization method using approximate gradient analysis was proposed to save gradient calculation time, in which the objective functions were evaluated with high-fidelity analyses in one-dimensional linear search, while the gradients were evaluated with a less time-consuming approximation model during the optimization process. Multi-objective problems were handled with linear weighted sum method. Multi-objective aerodynamic optimization performed on RAE2822 airfoil were investigated. Compared to standard SQP (sequential quadratic programming) optimization, the presented method yields 66.2% CPU time reduction for two-point airfoil design. The study indicates that the proposed optimization procedure has significant potential for engineering applications. © 2024 IEEE.

关键词： Quadratic programming

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Genetic programming for Optimizing Behavioral Rules of Agents Mimicking Human Behavior Patterns 12

Genetic Programming for Optimizing Behavioral Rules of Agent...

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Joint 12th international Conference on Soft Computing and Intelligent systems / 23rd international symposium on Advanced Intelligent systems (SCIS and ISIS)

作者： Kakizako, Kosuke Hanada, Yoshiko Kansai Univ Grad Sch Sci & Engn Osaka Japan Kansai Univ Fac Engn Sci Osaka Japan

ISBN: (纸本)9781665499248

Genetic programming (GP) is one of the effective methods to automatically generate a structure of behavior rule of agent such as robots. In optimization of a behavior rule of an agent to achieve a task, it is important to generate robust rules that work well in an environment involving slight errors. This paper shows a new approach for generating a flexible behavior rule of agent achieving task in an inaccurate environment. In our approach, we focus on the flexibility of humans' behavior to apply learned knowledge to similar patterns. Here we extend the Santa Fe Trail problem which is one of artificial ant problems, and introduce a degree of imitation of human operations to the objective function. Through the numerical experiments, we show that GP with a new objective function can generate rules that work well in an environment with errors.

关键词： genetic programming behavior rule agent control

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