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proceedings of the 40th acm/sigapp symposium on applied computing

作者： Sungyoun Hwang Hyoju Seo Yongtae Kim Kyungpook National University Daegu Republic of Korea

ISBN: (纸本)9798400706295

this paper presents a configurable approximate quantum multiplier that integrates approximate and exact controlled adders with a truncation scheme to balance accuracy and circuit complexity in noisy quantum environments. It achieves significant enhancements in error metrics over an exact multiplier, demonstrating its potential for noise-resilient quantum computing in noisy quantum devices.

关键词： quantum computing

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Bias analysis of AI models for undergraduate student admissions

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Neural computing and Applications 2025年第12期37卷 7785-7795页

作者： Van Busum, Kelly Fang, Shiaofen Department of Computer Science and Software Engineering Butler University IndianapolisIN United States Computing and Engineering Indiana University Luddy School of Informatics Indiana University Indianapolis IndianapolisIN United States

Bias detection and mitigation is an active area of research in machine learning. this work extends previous research done by the authors Van Busum and Fang (proceedings of the 38th acm/sigapp symposium on applied computing, 2023) to provide a rigorous and more complete analysis of the bias found in AI predictive models. Admissions data spanning six years was used to create an AI model to determine whether a given student would be directly admitted into the School of Science under various scenarios at a large urban research university. During this time, submission of standardized test scores as part of a student’s application became optional which led to interesting questions about the impact of standardized test scores on admission decisions. We developed and analyzed AI models to understand which variables are important in admissions decisions, and how the decision to exclude test scores affects the demographics of the students who are admitted. We then evaluated the predictive models to detect and analyze biases these models may carry with respect to three variables chosen to represent sensitive populations: gender, race, and whether a student was the first in his/her family to attend college. We also extended our analysis to show that the biases detected were persistent. Finally, we included several fairness metrics in our analysis and discussed the uses and limitations of these metrics. © the Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Students

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A Software-Defined Overlay Networking Middleware for a Simplified Deployment of Distributed Application at the Edge 25

A Software-Defined Overlay Networking Middleware for a Simpl...

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proceedings of the 40th acm/sigapp symposium on applied computing

作者： Heiko Bornholdt Kevin Röbert Stefan Schulte Janick Edinger Mathias Fischer University of Hamburg Hamburg Germany Hamburg University of Technology Hamburg Germany

ISBN: (纸本)9798400706295

the demand for low latency, bandwidth efficiency, and privacy has driven distributed applications to the network edge, where heterogeneous, and untrusted, and uncontrolled networks pose challenges. this paper presents a software-defined overlay networking (SDON) middleware that simplifies application development through centralized control of edge resources while addressing many challenges prevalent at the edge. SDON enables applications to specify high-level requirements, such as service placement and communication goals. these are automatically translated into device-specific configurations and deployed on appropriate edge resources. the middleware is implemented as fully functional software, published as open-source, and will be evaluated in multiple edge computing use cases, to demonstrate its application optimization potential.

关键词： edge computing

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Energy consumption of evolutionary algorithms implemented in low-level languages 25

Energy consumption of evolutionary algorithms implemented in...

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proceedings of the 40th acm/sigapp symposium on applied computing

作者： Juan Julián Merelo Mario Garcia Valdez Gustavo Romero López University of Granada Granada Spain Inst Tec de Tijuana Tijuana Mexico

ISBN: (纸本)9798400706295

In this paper, we focus on how the main operations in evolutionary algorithms spend energy in two different languages: C++ and zig. By setting up a methodology that gives us a precise measure of the energy spent by key evolutionary algorithm functions, we can give the scientific software engineer some actionable insights on how to write energy-conscious evolutionary algorithms. Our experiments show that C++ using the well-known GNU compiler can achieve a 50% reduction in energy consumption for some integer-based fitness functions, as well as very good performance on classical genetic operators.

关键词： green computing

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Paprika: Replica Placement for Multi-Region Edge Publish-Subscribe Systems 25

Paprika: Replica Placement for Multi-Region Edge Publish-Sub...

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proceedings of the 40th acm/sigapp symposium on applied computing

作者： Xavier Pacheco Pedro Vieira Hervé Paulino Computer Science NOVA School of Science and Technology NOVA University Lisbon Lisbon Portugal NOVA LINCS Caparica Portugal

ISBN: (纸本)9798400706295

Efficient data replica placement at the network edge is crucial for minimizing data access latency and enhancing user experience. Current solutions are mostly popularity oriented, assuming that users in close proximity share similar interests. While this strategy is effective for widely accessed data, it overlooks the specificity of user interests and their affinities, especially in diverse environments managed by different edge servers: data popular in region A may not be relevant in region B but be highly valuable in region *** introduce Paprika, an online heuristic-based hybrid algorithm that combines the strengths of Genetic Algorithms and Tabu Search to address replica selection and placement in edge computing environments. Paprika takes into account data popularity, pair-wise affinity between regions, and server storage capacity. Our evaluation demonstrates that the hybrid approach outperforms traditional heuristic methods by better balancing user interests across regions and favoring regions with stronger affinities.

关键词： edge computing

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Q-Edge: Leveraging Quantum computing for Enhanced Software Engineering in Vehicular Networks 25

Q-Edge: Leveraging Quantum Computing for Enhanced Software E...

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proceedings of the 40th acm/sigapp symposium on applied computing

作者： Adriano Maia Marcus Freire thiago Mello Roberto Rodrigues-Filho Eduardo Almeida Cassio Prazeres Gustavo Figueiredo Maycon Peixoto UFBA - Federal University of Bahia Salvador Brazil UFSC - Federal University of Santa Catarina Araranguá Brazil

ISBN: (纸本)9798400706295

Connected autonomous vehicles (CAVs) require extensive data processing to make real-time decisions such as obstacle detection, collision avoidance, and route optimization. To enable fast and accurate decision-making in CAVs, services traditionally executed in cloud data centers are being moved to the edge to minimize data transfer from vehicles to the cloud. We present a framework called Q-Edge that utilizes quantum computing at the network edge to improve the speed and effectiveness of data analysis for CAVs. By integrating quantum computing principles such as superposition, entanglement, and teleportation with edge computing, we propose a solution to address the latency and bandwidth issues inherent in traditional cloud computing methods. this approach, leveraging quantum software engineering practices, enables realtime decision-making, optimizing CAV performance and enhancing traffic management, urban mobility, and road safety.

关键词： quantum computing

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C2|Q>: Unifying Classical and Quantum Programming 25

C2|Q>: Unifying Classical and Quantum Programming

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proceedings of the 40th acm/sigapp symposium on applied computing

作者： Boshuai Ye University of Oulu Oulu Finland

ISBN: (纸本)9798400706295

this paper presents C2|Q>, a quantum software framework designed to bridge the gap between classical and quantum programming, specifically aimed at traditional developers who lack quantum computing expertise but want to leverage the potential benefits of quantum computers. C2|Q> transforms classical code written in high-level languages into quantum representations, enabling execution on Noisy Intermediate-Scale Quantum (NISQ) computers or simulators, and provides a user-friendly interface. the framework focuses on problems where quantum computing offers advantages, particularly nondeterministic polynomial-time complete (NP-complete) problems, which are considered classically *** key components of C2|Q> include a parser that identifies problem categories, extracts inputs, and converts classical inputs into quantum formats; a reducer that reformulates NP problems into 3-satisfiability problems (3SAT) when necessary; and an algorithm generator that constructs corresponding Hamiltonians and recommends feasible quantum algorithms. Additionally, the C2|Q> backend includes modules to optimize and compile quantum circuits, request and select suitable quantum hardware, and interpret computational results. the proposed framework empowers researchers and practitioners without prior quantum experience to harness the potential of hybrid quantum computation.

关键词： quantum computing

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Xook-Flow: an abstract communication channel model for the data exchange in computing continuum 25

Xook-Flow: an abstract communication channel model for the d...

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proceedings of the 40th acm/sigapp symposium on applied computing

作者： Catherine Alessandra Torres Charles Dante D. Sanchez-Gallegos Diana Carrizales-Espinoza Jesus Carretero Jose L. Gonzalez-Compean Universidad Carlos lll de Madrid Leganes Spain Universidad Carlos III de Madrid Leganes Spain Universidad Carlos III de Madrid Leganes Madrid Spain Cinvestav Victoria Tamaulipas Mexico

ISBN: (纸本)9798400706295

We present Xook-Flow, a model for constructing input/output systems for managing the data exchange in computing continuum environments. these systems are based on data distribution patterns created by structures called abstract communication channels (ACCs). To prevent resource overload during execution, Xook-Flow automatically selects the appropriate communication channel based on user-defined criteria (e.g., throughput or resource utilization). We implemented this model in a prototype evaluated in a case study focused on managing medical data in HDF5 format across different environments.

关键词： computing continuum

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Advancing Quantum Software Engineering: A Vision of Hybrid Full-Stack Iterative Model 25

Advancing Quantum Software Engineering: A Vision of Hybrid F...

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proceedings of the 40th acm/sigapp symposium on applied computing

作者： Arif Khan Davide Taibi Cécile M. Perrault Muhammad Azeem Akbar University of Oulu Oulu Finland Alice & Bob Paris France Paris France LUT University Lapparante Finland

ISBN: (纸本)9798400706295

this paper introduces a vision for Quantum Software Development lifecycle, proposing a hybrid full-stack iterative model that integrates quantum and classical computing. Addressing the current challenges in Quantum computing (QC) such as the need for integrating diverse programming languages and managing the complexities of quantum-classical systems, this model is rooted in the principles of DevOps and continuous software engineering. It presents a comprehensive lifecycle for quantum software development, encompassing quantum-agnostic coding, testing, deployment, cloud computing services, orchestration, translation, execution, and interpretation phases. Each phase is designed to accommodate the unique demands of QC, enabling traditional software developers to engage with QC environments without needing in-depth QC expertise. the paper presents a detailed implementation roadmap, utilizing a range of existing tools and frameworks, thereby making quantum software development more accessible and efficient. the proposed model not only addresses current challenges in quantum software development but also makes a substantial contribution to the field of Quantum Software Engineering (QSE). By proposing a structured and accessible model, it sets the stage for further advancements and research in QSE, enhancing its practicality and relevance in a wide range of applications.

关键词： quantum computing

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Exploiting Omega Network and Inexact Accumulative Parallel Counter to Enhance Energy Efficiency in Stochastic computing 25

Exploiting Omega Network and Inexact Accumulative Parallel C...

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proceedings of the 40th acm/sigapp symposium on applied computing

作者： Donghui Lee Yongtae Kim Kyungpook National University Daegu Republic of Korea

ISBN: (纸本)9798400706295

Stochastic computing (SC) has garnered a great interest due to its energy efficiency and robustness against external noise, yet a long latency on stochastic computations and considerable overheads caused by conversions between binary numbers and stochastic numbers persist as notable challenges. this paper introduces a novel parallel random number generator (RNG) and accumulative parallel counters (APCs) to address both challenges. In particular, we propose a new parallel RNG design based on Omega network to bolster the randomness of generated numbers, thereby enhancing accuracy and reducing latency. Additionally, we introduce a novel APC design technique leveraging approximate 4-2 compressors to improve hardware efficiency while preserving the accuracy of SC computations. When implemented using a 65-nm CMOS technology, our proposed SC architecture outperforms other SC alternatives in terms of both hardware efficiency and computation accuracy. Specifically, our APC designs exhibit substantial enhancements of up to 30.1×, 26.6×, 5.9×, and 151× in area, power, delay, and energy, respectively, compared to traditional APCs. Also, we validate the efficacy of the proposed SC design through an image processing application, demonstrating superior processing quality alongside significantly enhanced hardware efficiency.

关键词： stochastic computing

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