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๐Ÿ” computing methodologies ๐Ÿ“‚ Computer Science
Showing 33594 results for "computing methodologies" in Computer Science
Computer Science Preprint PDF DOI

Computational Complexity of Alignments

Christopher T. Schwanen, Wied Pakusa, Wil M. P. van der Aalst ยท 2026

In process mining, alignments quantify the degree of deviation between an observed event trace and a business process model and constitute the most important conformance checking technique. We study tโ€ฆ

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A framework for assessing the capabilities of code generation of constraint domain-specific languages with large language models

David Delgado, Lola Burgueno, Robert Clariso ยท 2026

Large language models (LLMs) can be used to support software development tasks, e.g., through code completion or code generation. However, their effectiveness drops significantly when considering lessโ€ฆ

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A Benchmarking Framework for Model Datasets

Philipp-Lorenz Glaser, Lola Burgueno, Dominik Bork ยท 2026

Empirical and LLM-based research in model-driven engineering increasingly relies on datasets of software models, for instance, to train or evaluate machine learning techniques for modeling support. Thโ€ฆ

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Cognitive Warfare: Definition, Framework, and Case Study

Bonnie Rushing, William Hersch, Shouhuai Xu ยท 2026

Cognitive warfare has emerged as a central feature of modern conflict, yet it remains inconsistently defined and difficult to evaluate. Existing approaches often treat cognitive operations as a subsetโ€ฆ

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Diagnosing FP4 inference: a layer-wise and block-wise sensitivity analysis of NVFP4 and MXFP4

Musa Cim, Burak Topcu, Mahmut Taylan Kandemir ยท 2026

Quantization addresses the high resource demand for large language models (LLMs) by alleviating memory pressure and bandwidth congestion and providing significantly scaled compute power with a tolerabโ€ฆ

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RepoLaunch: Automating Build&Test Pipeline of Code Repositories on ANY Language and ANY Platform

Kenan Li, Rongzhi Li, Linghao Zhang, Qirui Jin, Liao Zhu, Xiaosong Huang, Geng Zhang, Yikai Zhang, Shilin He, Chengxing Xie, Xin Zhang, Zijian Jin, Bowen Li, Chaoyun Zhang, Yu Kang, Yufan Huang, Elsie Nallipogu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang ยท 2026

Building software repositories typically requires significant manual effort. Recent advances in large language model (LLM) agents have accelerated automation in software engineering (SWE). We introducโ€ฆ

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Programmable superconducting neuron with intrinsic in-memory computation and dual-timescale plasticity for ultra-efficient neuromorphic computing

Muen Wang, Shucheng Yang, Yuxiang Lin, Yuntian Gao, Xue Zhang, Xiaoping Gao, Minghui Niu, Huanli Liu, Yikang Wan, Wei Peng, Jie Ren ยท 2026

The escalating energy demands of artificial intelligence pose a critical challenge to conventional computing. Leveraging the efficiency of event-driven, in-memory neuromorphic architectures into the sโ€ฆ

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Rethinking Reproducibility in the Classical (HPC)-Quantum Era: Toward Workflow-Centered Science

Anna Vrtiak, Duuk Baten, Ariana Torres-Knoop ยท 2026

Scientific knowledge increasingly depends on complex computational processes where both hardware and software layers can influence research outcomes. As computational complexity grows, classical-quantโ€ฆ

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Spectral dynamics reservoir computing for high-speed hardware-efficient neuromorphic processing

Jiaxuan Chen, Ryo Iguchi, Sota Hikasa, Takashi Tsuchiya ยท 2026

Physical reservoir computing (PRC) is a promising brain-inspired computing architecture for overcoming the von Neumann bottleneck by utilizing the intrinsic dynamics of physical systems. However, a maโ€ฆ

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An Optimal Algorithm for Computing Many Faces in Line Arrangements

Haitao Wang ยท 2026

Given a set of $m$ points and a set of $n$ lines in the plane, we consider the problem of computing the faces of the arrangement of the lines that contain at least one point. In this paper, we presentโ€ฆ

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Rethinking Temporal Models for TinyML: LSTM versus 1D-CNN in Resource-Constrained Devices

Bidyut Saha, Riya Samanta ยท 2026

Time series classification underpins applications such as human activity recognition, healthcare monitoring, and gesture detection in the IoT domain. Tiny Machine Learning enables models to run directโ€ฆ

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The Semantic Arrow of Time, Part V: The Leibniz Bridge -- Toward a Unified Theory of Semantic Time

Paul Borrill ยท 2026

This is the final paper in the five-part series The Semantic Arrow of Time. Part I identified the FITO category mistake -- treating forward temporal flow as sufficient for establishing meaning. Part Iโ€ฆ

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The Semantic Arrow of Time, Part IV: Why Transactions Fail

Paul Borrill ยท 2026

This is the fourth of five papers comprising The Semantic Arrow of Time. Parts I-III established that computing's hidden arrow of time is semantic rather than thermodynamic, that bilateral transactionโ€ฆ

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Can LLMs Synthesize Court-Ready Statistical Evidence? Evaluating AI-Assisted Sentencing Bias Analysis for California Racial Justice Act Claims

Aparna Komarla ยท 2026

Resentencing in California remains a complex legal challenge despite legislative reforms like the Racial Justice Act (2020), which allows defendants to challenge convictions based on statistical evideโ€ฆ

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Hardware-Software Co-design for 3D-DRAM-based LLM Serving Accelerator

Cong Li, Yihan Yin, Chenhao Xue, Zhao Wang, Fujun Bai, Yixin Guo, Xiping Jiang, Qiang Wu, Yuan Xie, Guangyu Sun ยท 2026

Large language models (LLMs) have been widely deployed for online generative services, where numerous LLM instances jointly handle workloads with fluctuating request arrival rates and variable requestโ€ฆ

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Unlocking Python's Cores: Hardware Usage and Energy Implications of Removing the GIL

Jose Daniel Montoya Salazar ยท 2026

Python's Global Interpreter Lock prevents execution on more than one CPU core at the same time, even when multiple threads are used. However, starting with Python 3.13 an experimental build allows disโ€ฆ

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The Semantic Arrow of Time, Part III: RDMA and the Completion Fallacy

Paul Borrill ยท 2026

This is the third of five papers comprising The Semantic Arrow of Time. Parts I and II identified computing's hidden semantic arrow of time, the FITO category mistake, and presented the constructive aโ€ฆ

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Efficient Privacy-Preserving Sparse Matrix-Vector Multiplication Using Homomorphic Encryption

Yang Gao, Gang Quan, Wujie Wen, Scott Piersall, Qian Lou, Liqiang Wang ยท 2026

Sparse matrix-vector multiplication (SpMV) is a fundamental operation in scientific computing, data analysis, and machine learning. When the data being processed are sensitive, preserving privacy becoโ€ฆ

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Industrial Survey on Robustness Testing In Cyber Physical Systems

Christophe Ponsard, Abiola Paterne Chokki, Jean-Francois Daune ยท 2026

Cyber-Physical Systems (CPS) play a critical role in modern industrial domains, including manufacturing, energy, transportation, and healthcare, where they enable automation, optimization, and real-tiโ€ฆ

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Principal Typing for Intersection Types, Forty-Five Years Later

Daniele Pautasso (University of Turin), Simona Ronchi Della Rocca (University of Turin) ยท 2026

A type assignment system for lambda-calculus enjoys the principal typing property if every typable term M has a special typing, called principal, from which all typings for M can be obtained via suitaโ€ฆ

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