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proceedings of DRBSD-8 2022: 8th International Workshop on Data analysis and Reduction for Big Scientific Data, Held in conjunction with SC 2022: The International Conference for High Performance computing, Networking, Storage and analysis

Proceedings of DRBSD-8 2022: 8th International Workshop on D...

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8th IEEE/acm International Workshop on Data analysis and Reduction for Big Scientific Data, DRBSD-8 2022

ISBN: (纸本)9781665463379

The proceedings contain 8 papers. The topics discussed include: understanding the effects of modern compressors on the community earth science model;analyzing the impact of lossy data reduction on volume rendering of cosmology data;exploring data reduction techniques for additive manufacturing analysis;what can real information content tell us about compressing climate model data?;evaluating nonuniform reduction in HIP and SYCL on GPUs;understanding impact of lossy compression on derivative-related metrics in scientific datasets;dynamic clustering-based sharding in distributed deduplication systems;and characterization of transform-based lossy compression for HPC datasets.

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PERMAVOST 2022 Discussion Panel: Domain Scientists vs. Performance analysis Tools: Advancing in HPC 2

PERMAVOST 2022 Discussion Panel: Domain Scientists vs. Perfo...

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2nd Workshop on Performance Engineering, Modelling, analysis, and Visualization Strategy, PERMAVOST 2022

作者： Liem, Radita Scully-Allison, Connor Solorzano, Ana Veroneze Keipert, Kristopher Ferreira Da Silva, Rafael Kesavan, Suraj Patel, Tirthak RWTH Aachen University Aachen Germany University of Arizona TucsonAZ United States Northeastern University BostonMA United States NVIDIA Traverse CityMI United States Oak Ridge National Laboratory Oak RidgeTN United States University of California DavisCA United States Rice University HoustonTX United States

ISBN: (纸本)9781450393140

In this panel, a team of four experts in performance analysis, parallel computing, quantum computing, and distributed systems discuss how different scientific computing fields are benefiting from performance analysis tools. The panel will discuss challenges and limitations in today's available tools from the perspective of a tools developer, domain scientist, and solutions architect. An emphasis will be placed on evaluating the performance and visualizing experiments in rising fields in Computer Science such as Machine Learning and Quantum computing in HPC infrastructures. The panel is in the format of questions and answers sessions given by the moderator combined with interactive communication with the audience. We encourage participants to join our interactive panel discussion. © 2022 Owner/Author.

关键词： Graphics processing unit

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Coverage and Performance analysis of 5G Non-Standalone Deployments 16

Coverage and Performance Analysis of 5G Non-Standalone Deplo...

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16th acm Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization (WiNTECH) Part of MobiCom Conference

作者： Kousias, Konstantinos Rajiullah, Mohammad Caso, Giuseppe Alay, Ozgu Brunstorm, Anna De Nardis, Luca Neri, Marco Ali, Usman Di Benedetto, Maria-Gabriella Simula Res Lab Oslo Norway Karlstad Univ Karlstad Sweden Ericsson Res Stockholm Sweden Univ Oslo Oslo Norway Sapienza Univ Rome Rome Italy Rohde Schwarz Rome Italy

ISBN: (纸本)9781450395274

Fifth Generation (5G) networks are becoming the norm in the global telecommunications industry. In this paper, we present the first large-scale measurement study on commercial 5G Non Standalone (NSA) deployments in a European country. We leverage the collected dataset, which covers two Mobile Network Operators (MNOs) in Rome, Italy, to first, study network deployment and radio coverage aspects, and second, explore the performance of two use cases related to enhanced Mobile Broadband (eMBB) and UltraReliable Low Latency Communication (URLLC). Results show that 5G NSA can provide higher downlink throughput and slightly lower latency compared to Fourth Generation (4G) systems. However, performance is influenced by several factors, including propagation conditions, system configurations, and handover events, ultimately highlighting the need for further system optimization.

关键词： 5G mobile communication systems

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Sound, Precise, and Fast Abstract Interpretation with Tristate Numbers 22

Sound, Precise, and Fast Abstract Interpretation with Trista...

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20th IEEE/acm International Symposium on Code Generation and Optimization (CGO)

作者： Vishwanathan, Harishankar Shachnai, Matan Narayana, Srinivas Nagarakatte, Santosh Rutgers State Univ New Brunswick NJ 26471 USA

ISBN: (纸本)9781665405843

Extended Berkeley Packet Filter (BPF) is a language and run-time system that allows non-superusers to extend the Linux and Windows operating systems by downloading user code into the kernel. To ensure that user code is safe to run in kernel context, BPF relies on a static analyzer that proves properties about the code, such as bounded memory access and the absence of operations that crash. The BPF static analyzer checks safety using abstract interpretation with several abstract domains. Among these, the domain of tnums (tristate numbers) is a key domain used to reason about the bitwise uncertainty in program values. This paper formally specifies the tnum abstract domain and its arithmetic operators. We provide the first proofs of soundness and optimality of the abstract arithmetic operators for tnum addition and subtraction used in the BPF analyzer. Further, we describe a novel sound algorithm for multiplication of tnums that is more precise and efficient (runs 33% faster on average) than the Linux kernel's algorithm. Our tnum multiplication is now merged in the Linux kernel.

关键词： Abstract domains Program verification Static analysis Kernel extensions eBPF

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The Persisting Issue of Emergency Department (ED) Overcrowding: Enhancing the Application of Emergency Severity Index (ESI) through Data Analytics 23

The Persisting Issue of Emergency Department (ED) Overcrowdi...

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24th Annual Conference on Information Technology Education, SIGITE 2023

作者： Mugula, Lisero Metuge, Victoire Valero, Maria Nino, Valentina Kennesaw State University MariettaGA United States Information Technology Department Kennesaw State University Marietta United States Industrial and Systems Engineering Department Kennesaw State University Marietta United States

ISBN: (纸本)9798400701306

The persisting issue of emergency department (ED) overcrowding, notably in rural communities, has been aggravated by the recent Covid-19 pandemic. This dilemma results in longer wait times, patients leaving without treatment, and heightened staff burnout. Our study seeks to alleviate this problem by enhancing the application of the Emergency Severity Index (ESI), a critical tool for patient triage in EDs. We endeavor to develop a mathematical model for automatic ESI estimation using historical patient data, thereby augmenting triage process efficiency and consistency. Building upon previous research on real-time vitals collection through non-invasive wearables, and a graph model for patient urgency-based sorting, we present a comprehensive data analytics study on three years' worth of ED visit data from a rural Montana hospital. Multiple statistical models, including CART, MARS, and linear and logistic regressions, were utilized. Variables such as CC code, age group, and respiration rate emerged as significant ESI prediction influencers. Furthermore, regression analysis highlighted correlations between certain factors and medical condition severity, like being male with a lower body temperature corresponded to less severity. Remarkably, the linear regression model achieved a 70.21% ESI prediction accuracy rate using a reduced variable set, showcasing its real-world applicability. Our study lays the groundwork for AI and machine learning integration in improving prediction accuracy. It also invites replications across diverse geographic locations and healthcare systems, leading towards a universal understanding of ESI predictors and possibly a global triage system. These methodologies are poised to enhance ED efficiency and patient outcomes by reducing overcrowding. © 2023 Owner/Author.

关键词： Data Analytics

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Unpacking Invisible Work Practices, Constraints, and Latent Power Relationships in Child Welfare through Casenote analysis 22

Unpacking Invisible Work Practices, Constraints, and Latent ...

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CHI Conference on Human Factors in computing systems (CHI)

作者： Saxena, Devansh Moon, Seh Young Shehata, Dahlia Guha, Shion Marquette Univ Milwaukee WI 53233 USA Univ Toronto Toronto ON Canada Univ Waterloo Waterloo ON Canada

ISBN: (纸本)9781450391573

Caseworkers are trained to write detailed narratives about families in Child-Welfare (CW) which informs collaborative high-stakes decision-making. Unlike other administrative data, these narratives offer a more credible source of information with respect to workers' interactions with families as well as underscore the role of systemic factors in decision-making. SIGCHI researchers have emphasized the need to understand human discretion at the street-level to be able to design human-centered algorithms for the public sector. In this study, we conducted computational text analysis of casenotes at a child-welfare agency in the midwestern United States and highlight patterns of invisible street-level discretionary work and latent power structures that have direct implications for algorithm design. Casenotes offer a unique lens for policymakers and CW leadership towards understanding the experiences of on-the-ground caseworkers. As a result of this study, we highlight how street-level discretionary work needs to be supported by sociotechnical systems developed through worker-centered design. This study offers the first computational inspection of casenotes and introduces them to the SIGCHI community as a critical data source for studying complex sociotechnical systems.

关键词： child-welfare system casenotes computational text analysis topic modeling invisible labor human discretion worker-centered design

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Real-Time Approximate Routing for Smart Transit systems

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proceedings of the acm on measurement and analysis of computing systems 2021年第2期5卷 1–30页

作者： Perivier, Noemie Hssaine, Chamsi Samaranayake, Samitha Banerjee, Siddhartha Columbia Univ Dept Ind Engn & Operat Res New York NY 10027 USA Cornell Univ Sch Operat Res & Informat Engn Ithaca NY USA

We study real-time routing policies in smart transit systems, where the platform has a combination of cars and high-capacity vehicles (e.g., buses or shuttles) and seeks to serve a set of incoming trip requests. The platform can use its fleet of cars as a feeder to connect passengers to its high-capacity fleet, which operates on fixed routes. Our goal is to find the optimal set of (bus) routes and corresponding frequencies to maximize the social welfare of the system in a given time window. This generalizes the Line Planning Problem, a widely studied topic in the transportation literature, for which existing solutions are either heuristic (with no performance guarantees), or require extensive computation time (and hence are impractical for real-time use). To this end, we develop a 1 - 1/epsilon - epsilon approximation algorithm for the Real-Time Line Planning Problem, using ideas from randomized rounding and the Generalized Assignment Problem. Our guarantee holds under two assumptions: (i) no inter-bus transfers and (ii) access to a pre-specified set of feasible bus lines. We moreover show that these two assumptions are crucial by proving that, if either assumption is relaxed, the Real-Time Line Planning Problem does not admit any constant-factor approximation. Finally, we demonstrate the practicality of our algorithm via numerical experiments on real-world and synthetic datasets, in which we show that, given a fixed time budget, our algorithm outperforms Integer Linear Programming-based exact methods.

关键词： routing transit systems network design

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Multi-Threaded Space Carving for 3-D Seed Reconstruction

Multi-Threaded Space Carving for 3-D Seed Reconstruction

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2023 Congress in Computer Science, Computer Engineering, and Applied computing, CSCE 2023

作者： Neilsen, Mitchell L. Zhao, Kai Kansas State University Computer Science Department ManhattanKS United States

ISBN: (纸本)9798350327595

This paper presents a novel framework for 3D seed reconstruction and volume measurement using multi-threaded space carving. The new framework achieves better performance than previous approaches with a relatively low cost. On modest hardware, the framework can compute seed volume within 0.5 seconds, but on a more modern machine with multiple cores, a new multi-threaded version can obtain a solution in 0.03 seconds and achieve nearly linear speedup for up to 6 threads. The new framework provides a practical, cost effective solution to accurately obtain seed volume within 1-2 % even with very modest hardware. © 2023 IEEE.

关键词： Computer vision cyber-physical systems phenotyping seed analysis space carving

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18th Colombian Conference on computing, CCC 2024

18th Colombian Conference on Computing, CCC 2024

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18th Colombian Conference on computing, CCC 2024

ISBN: (纸本)9783031752322

The proceedings contain 55 papers. The special focus in this conference is on computing. The topics include: Influence of Functional Capacity in the Living Space (LS) in Elders in Small Towns in the Colombian Andes: An analysis of the Association Between SPPB and LS;digital Divide analysis in Colombia and Mexico Using Complex Networks and Open Data Platforms;Evaluating Pre-attentive Perception of Visibility Graphs for Representing ECG Signals;system for Self-Care Support of Inpatient and/or Home Care Patients by Monitoring Vital Signs with an IoT-Self-Adaptive Prototype: A Systematic Study;Parkinson Disease Rehabilitation Routines Described as Robot Instructions for PARKIBIP;Educational Strategies and Tools Based on AI: A Systematic Mapping for the Personalization of Learning;Trends in Adaptive Graphical User Interfaces in Moodle LMS systems Through Artificial Intelligence Techniques;GAMITIC- ICT Literacy Tool for Teachers in Vulnerable Zones;Computational Thinking (CT) measurement Model Based on Bloom's Taxonomy and the GQM Model;Enhancing Vocational Guidance with Machine Learning: Predicting STEM Career Viability for High School Students;student Attrition in Higher Education: A Systematic Mapping of Causes and Retention Strategies;case Study: Design of a Training Strategy to Improve Learning Outcomes Through the Development of Integrative Projects;data Generation Strategies for the Application of Adaptive Learning Analytics;reference Model of Appropriation of Digital Technologies for Learning in Higher Education Institutions;esmeralda: Support for Early Detection and Initial Intervention of Dyslexia in First-Grade Students Through the Development of Digital Educational Resources;Women in STEAM Through the Lens of an Immersive-Based Storytelling Design;Evaluating Motivation for Initiating a Digital Transformation Process in MSMEs.

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InterLink: Linking Text with Code and Output in Computational Notebooks 25

InterLink: Linking Text with Code and Output in Computationa...

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2025 CHI Conference on Human Factors in computing systems, CHI 2025

作者： Lin, Yanna Yang, Leni Li, Haotian Qu, Huamin Moritz, Dominik Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong Hong Kong Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA United States Microsoft Research Asia Beijing China

ISBN: (纸本)9798400713941

Computational notebooks, widely used for ad-hoc analysis and often shared with others, can be difficult to understand because the standard linear layout is not optimized for reading. In particular, related text, code, and outputs may be spread across the UI making it difficult to draw connections. In response, we introduce InterLink, a plugin designed to present the relationships between text, code, and outputs, thereby making notebooks easier to understand. In a formative study, we identify pain points and derive design requirements for identifying and navigating relationships among various pieces of information within notebooks. Based on these requirements, InterLink features a new layout that separates text from code and outputs into two columns. It uses visual links to signal relationships between text and associated code and outputs and offers interactions for navigating related pieces of information. In a user study with 12 participants, those using InterLink were 13.6% more accurate at finding and integrating information from complex analyses in computational notebooks. These results show the potential of notebook layouts that make them easier to understand. © 2025 Copyright held by the owner/author(s).

关键词： Interactive computer systems

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