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26th International Conference on Distributed computing and Networking, ICDCN 2025

作者： Bakshi, Saikat Chandra Pramanik, Ankita Roy, Gopal Chandra Saicharan, Eravelli NIT Calicut Calicut India Indian Institute of Engineering Science and Technology Shibpur Howrah India

ISBN: (纸本)9798400710629

Underground coal mines (UCMs) environment is has a hazardous environment because of the presence of different toxic and inflammable gases. In UCMs, the presence of trapped gases may cause accidents and lead to loss of miners lives and property. To mitigate the risks associated with high accumulation of gases, environment monitoring plays a major role in monitoring of emission rates of various gases. Conventional monitoring techniques are being widely used in many UCMs across the world to monitor UCM environment. Although the usage of these techniques is high, however they are operated manually and are not continuous in operation. Hence, IoT based continuous monitoring systems need to be developed for underground mine environment monitoring so as to avoid dangerous occurrences in UCMs. Recently various IoT based systems utilizing wireless sensor networks are being developed to monitor the environment of UCMs to establish continuous monitoring system. Such advancements and an in-depth analysis in continuous UCM environment monitoring are discussed in the present work. This survey will help future researchers in identifying research trends in continuous environment monitoring. © 2025 Copyright held by the owner/author(s).

关键词： Coal mines

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Enabling Low-Overhead HT-HPC Workflows at Extreme Scale using GNU Parallel

Enabling Low-Overhead HT-HPC Workflows at Extreme Scale usin...

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2024 Workshops of the International Conference for High Performance computing, Networking, Storage and analysis, SC Workshops 2024

作者： Maheshwari, Ketan Arndt, William Karimi, Ahmad Maroof Yin, Junqi Suter, Frederic Johnson, Seth Da Silva, Rafael Ferreira Oak Ridge National Laboratory Oak RidgeTN United States Lawrence Berkeley National Laboratory BerkeleyCA United States

ISBN: (纸本)9798350355543

GNU Parallel is a versatile and powerful tool for process parallelization widely used in scientific computing. This paper demonstrates its effective application in high-performance computing (HPC) environments, particularly focusing on its scalability and efficiency in executing large-scale high-throughput high-performance computing (HT-HPC) workflows. Through real-world examples, we highlight GNU Parallel's performance across various HPC workloads, including GPU computing, container-based workloads, and node-local NVMe storage. Our results on two leading supercomputers, OLCF's Frontier and NERSC's Perlmutter, showcase GNU Parallel's rapid process dispatching ability and its capacity to maintain low overhead even at extreme scales. We explore GNU Parallel's application in massive parallel file transfers using a scheduled Data Transfer Node (DTN) cluster, emphasizing its broad utility in diverse scientific workflows. Beyond its direct application as a viable workflow manager, GNU Parallel can be employed in conjunction with other workflow systems as a "last-mile"parallelizing driver and as a quick prototyping tool to design and extract parallel profiles from application executions. We then argue that the potential for GNU Parallel to transform workflow management at extreme scales is substantial, paving the way for more efficient and effective scientific discoveries. © 2024 IEEE.

关键词： Distributed computing GNU Parallel High-Throughput computing Scientific Workflows

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SciTrust: Evaluating the Trustworthiness of Large Language Models for Science

SciTrust: Evaluating the Trustworthiness of Large Language M...

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2024 Workshops of the International Conference for High Performance computing, Networking, Storage and analysis, SC Workshops 2024

作者： Herron, Emily Yin, Junqi Wang, Feiyi Oak Ridge National Laboratory Oak RidgeTN United States

ISBN: (纸本)9798350355543

This work presents SciTrust, a comprehensive framework for assessing the trustworthiness of large language models (LLMs) in scientific contexts, with a focus on truthfulness, accuracy, hallucination, and sycophancy. The framework introduces four novel open-ended benchmarks in Computer Science, Chemistry, Biology, and Physics, and employs a multi-faceted evaluation approach combining traditional metrics with LLMbased evaluation. SciTrust was applied to five LLMs, including one general-purpose and four scientific models, revealing nuanced strengths and weaknesses across different models and benchmarks. The study also evaluated SciTrust's performance and scalability on high-performance computing systems. Results showed varying performance across models, with Llama3-70B-Instruct performing strongly overall, while Galactica-120B and SciGLM-6B excelled among scientific models. SciTrust aims to advance the development of trustworthy AI in scientific applications and establish a foundation for future research on model robustness, safety, and ethics in scientific contexts. We have open-sourced our framework, including all associated scripts and datasets, at https://***/herronej/SciTrust. © 2024 IEEE.

关键词： High Performance computing Large Language Models for Science Trustworthy AI

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NNQS-Transformer: An Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry 23

NNQS-Transformer: An Efficient and Scalable Neural Network Q...

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2023 International Conference for High Performance computing, Networking, Storage and analysis, SC 2023

作者： Wu, Yangjun Guo, Chu Fan, Yi Zhou, Pengyu Shang, Honghui Institute of Computing Technology Chinese Academy of Sciences UCAS Beijing China Hunan Normal University Changshang China University of Science and Technology of China Hefei China

ISBN: (纸本)9798400701092

Neural network quantum state (NNQS) has emerged as a promising candidate for quantum many-body problems, but its practical applications are often hindered by the high cost of sampling and local energy calculation. We develop a high-performance NNQS method for ab initio electronic structure calculations. The major innovations include: (1) A transformer based architecture as the quantum wave function ansatz;(2) A data-centric parallelization scheme for the variational Monte Carlo (VMC) algorithm which preserves data locality and well adapts for different computing architectures;(3) A parallel batch sampling strategy which reduces the sampling cost and achieves good load balance;(4) A parallel local energy evaluation scheme which is both memory and computationally efficient;(5) Study of real chemical systems demonstrates both the superior accuracy of our method compared to state-of-the-art and the strong and weak scalability for large molecular systems with up to 120 spin orbitals. © 2023 acm.

关键词： Electronic structure

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Towards Sustainable Post-Exascale Leadership computing

Towards Sustainable Post-Exascale Leadership Computing

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2024 Workshops of the International Conference for High Performance computing, Networking, Storage and analysis, SC Workshops 2024

作者： Shin, Woong White, James B. Elwasif, Wael Da Silva, Rafael Ferreira Zimmer, Christopher Messer, Bronson Budiardja, Reuben Georgiadou, Antigoni Vergara, Veronica Melesse Lange, Jack Maiterth, Matthias Osborne, Tim Huk, Leah Holmen, John Hagerty, Nick Karimi, Ahmad Maroof Naughton, Thomas Adamson, Ryan Prout, Ryan Wang, Feiyi Atchley, Scott Thach, Kevin G. Beck, Thomas Oral, Sarp Oak Ridge National Laboratory Oak RidgeTN United States

ISBN: (纸本)9798350355543

As computing systems approach the limits of traditional silicon technology, the diminishing returns in performance per watt present a significant barrier to sustaining growth in HPC. From a large-scale scientific supercomputing facility point of view, we propose a multifaceted strategy toward specialized hardware and architectures that are optimized for energy efficiency in specific applications. We also emphasize the need for integrating energy-aware practices across all levels of HPC, from system design and software development to operational policies. We discuss strategic opportunities such as the adoption of application-specific accelerators, the development of energy-efficient algorithms, and the implementation of data-driven operational analytics. Our goal is to develop a comprehensive roadmap ensuring that future leadership systems at OLCF can meet scientific demands while operating within stringent energy budgets, thereby supporting sustainable computing growth. © 2024 IEEE.

关键词： HPC Energy Efficiency Post-Exascale Supercomputing

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Respecifying Phubbing: Video-Based analysis of Smartphone Use in Co-Present Interactions 23

Respecifying Phubbing: Video-Based Analysis of Smartphone Us...

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CHI conference on Human Factors in computing systems (CHI)

作者： Avgustis, Iuliia Univ Oulu INTERACT Res Unit Oulu Finland

ISBN: (纸本)9781450394215

The concept of phubbing (generally defned as a practice of ignoring co-present others by focusing on one's mobile device) is now widely used in studies aiming to understand the efects of smartphone use on co-present interactions. However, most of these studies are quantitative in nature and fail to grasp the interactional context of smartphone use. Drawing on video recordings and utilizing multimodal interaction analysis, the present study examines phubbing in naturally occurring interactions among young adults. Contrary to most previous research, the analysis reveals that disengagement often precedes self-initiated smartphone use rather than follows it. The study identifes factors that afect whether phubbing is reciprocated and whether it is oriented to as problematic. As a result of the analysis, an alternative conceptualization of phubbing is ofered. By refecting on participants' ways of managing phubbing and its consequences, we discuss design solutions for supporting them in this task.

关键词： Smartphone use Face-to-face interaction Video-based research Multiactivity Disengagement

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An Enterprise-Grade Open-Source Data Reduction Architecture for All-Flash Storage systems

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proceedings of the acm on measurement and analysis of computing systems 2022年第2期6卷 1–27页

作者： Ajdari, Mohammadamin Raaf, Patrick Kishani, Mostafa Salkhordeh, Reza Asadi, Hossein Brinkmann, Andre Sharif Univ Technol Tehran *** Iran Johannes Gutenberg Univ Mainz Mainz Germany

All-flash storage (AFS) systems have become an essential infrastructure component to support enterprise applications, where sub-millisecond latency and very high throughput are required. Nevertheless, the price per capacity of solid-state drives (SSDs) is relatively high, which has encouraged system architects to adopt data reduction techniques, mainly deduplication and compression, in enterprise storage solutions. To provide higher reliability and performance, SSDs are typically grouped using redundant array of independent disk (RAID) configurations. Data reduction on top of RAID arrays, however, adds I/O overheads and also complicates the I/O patterns redirected to the underlying backend SSDs, which invalidates the best-practice configurations used in AFS. Unfortunately, existing works on the performance of data reduction do not consider its interaction and I/O overheads with other enterprise storage components including SSD arrays and RAID controllers. In this paper, using a real setup with enterprise-grade components and based on the open-source data reduction module RedHat VDO, we reveal novel observations on the performance gap between the stateof-the-art and the optimal all-flash storage stack with integrated data reduction. We therefore explore the I/O patterns at the storage entry point and compare them with those at the disk subsystem. Our analysis shows a significant amount of I/O overheads for guaranteeing consistency and avoiding data loss through data journaling, frequent small-sized metadata updates, and duplicate content verification. We accompany these observations with cross-layer optimizations to enhance the performance of AFS, which range from deriving new optimal hardware RAID configurations up to introducing changes to the enterprise storage stack. By analyzing the characteristics of I/O types and their overheads, we propose three techniques: (a) application-aware lazy persistence, (b) a fast, read-only I/O cache for duplicate verification, and

关键词： All-Flash Storage systems Deduplication Performance Evaluation Compression RAID Solid-State Drives

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COMPASS 2023 - proceedings of the acm SIGCAS/SIGCHI Conference on computing and Sustainable Societies

COMPASS 2023 - Proceedings of the ACM SIGCAS/SIGCHI Conferen...

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6th acm SIGCAS/SIGCHI Conference on computing and Sustainable Societies, COMPASS 2023

ISBN: (纸本)9798400701498

The proceedings contain 24 papers. The topics discussed include: analysis of elephant movement in sub-Saharan Africa: ecological, climatic, and conservation perspectives;a simulated study exploring and testing fuzzy logic AI and IoT-enabled hydroponic dosing systems aimed at rural subsistence farmers in South Africa;poverty rate prediction using multi-modal survey and earth observation data;understanding household consumption practices and their motivations: opportunities to foster sustainability practices;adapting forests to an uncertain climate – a critical technology review;pandemic, hybrid teaching & stress: examining Indian teachers’ sociotechnical support practices in low-income schools;FoodWise: food waste reduction and behavior change on campus with data visualization and gamification;and Windhoek Smart City Hunt App: designing for citizen engagement.

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Interior Point Methods with a Gradient Oracle 2023

Interior Point Methods with a Gradient Oracle

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55th Annual acm Symposium on Theory of computing (STOC) part of the acm Federated computing Research Conference (FCRC)

作者： Vladu, Adrian Univ Paris Cite CNRS Paris France Univ Paris Cite IRIF Paris France

ISBN: (纸本)9781450399135

We provide an interior point method based on quasi-Newton iterations, which only requires first-order access to a strongly self-concordant barrier function. To achieve this, we extend the techniques of Dunagan-Harvey [STOC '07] to maintain a preconditioner, while using only first-order information. We measure the quality of this preconditioner in terms of its relative excentricity to the unknown Hessian matrix, and we generalize these techniques to convex functions with a slowly-changing Hessian. We combine this with an interior point method to show that, given first-order access to an appropriate barrier function for a convex set K, we can solve well-conditioned linear optimization problems over K to epsilon precision in time (O) over tilde (T +n(2)) root log (1/epsilon)), where.. is the self-concordance parameter of the barrier function, and T is the time required to make a gradient query. As a consequence we show that: Linear optimization over..-dimensional convex sets can be solved in time (O) over tilde (T +n(2)) . This parallels the running time achieved by state of the art algorithms for cutting plane methods, when replacing separation oracles with first-order oracles for an appropriate barrier function. We can solve semidefinite programs involving matrices in R-nxn in time (O) over tilde (mn(4)+m(1.25)n(3.5) log(1/epsilon)) , improving over the state of the art algorithms, in the case where m = Omega(3.5/n omega-1.25) Along the way we develop a host of tools allowing us to control the evolution of our potential functions, using techniques from matrix analysis and Schur convexity.

关键词： interior point methods linear systems preconditioning

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Mid4CC 2023 - proceedings of the 2023 1st International Workshop on Middleware for the computing Continuum, Part of: Middleware 2023

Mid4CC 2023 - Proceedings of the 2023 1st International Work...

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1st International Workshop on Middleware for the computing Continuum, Mid4CC 2023

ISBN: (纸本)9798400704574

The proceedings contain 6 papers. The topics discussed include: secure and lightweight access control for highly decentralized and distributed file systems;an analysis about federated learning in low-powerful devices;orchestrating serverless applications in the cloud-to-edge continuum;an optimized blockchain-based data transmission system for telemedicine;benchmarks for job scheduling in ultra-distributed systems;and BlazeFlow: a multi-layer communication middleware for real-time distributed IoT applications.

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