:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Yan-Shiun, Morin, Nathan A.
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Distributed, Parallel, and Cluster Computing Machine Learning Quantitative Methods 68T05 (Primary), 92-08 (Secondary) H.3.4; I.2.1; J.3
Online Access:	https://arxiv.org/abs/2512.05462
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals
by: Yang, Yifan, et al.
Published: (2024)

Interpreting artificial neural networks to detect genome-wide association signals for complex traits
by: Yelmen, Burak, et al.
Published: (2024)

NBI-Slurm: Simplified submission of Slurm jobs with energy saving mode
by: Telatin, Andrea
Published: (2026)

Stochastic failure of cell infection post viral entry: Implications for infection outcomes and antiviral therapy
by: Quirouette, Christian, et al.
Published: (2022)

Source Known Identifiers: A Three-Tier Identity System for Distributed Applications
by: Kılıç, Duran Serkan
Published: (2026)

Stencil Computations on AMD and Nvidia Graphics Processors: Performance and Tuning Strategies
by: Pekkilä, Johannes, et al.
Published: (2024)

Real-time chaotic video encryption based on multithreaded parallel confusion and diffusion
by: Jiang, Dong, et al.
Published: (2023)

Deploy, Calibrate, Monitor, Heal -- No Human Required: An Autonomous AI SRE Agent for Elasticsearch
by: Mukkolakkal, Muhamed Ramees Cheriya
Published: (2026)

Topology of Multi-species Localization
by: Natarajan, Abhinav, et al.
Published: (2026)

Accelerating In-transit Isosurface Generation With Topology Preserving Compression
by: Li, Yanliang, et al.
Published: (2024)

SLA Management in Reconfigurable Multi-Agent RAG: A Systems Approach to Question Answering
by: Iannelli, Michael, et al.
Published: (2024)

Algorithms for Parallel Shared-Memory Sparse Matrix-Vector Multiplication on Unstructured Matrices
by: Bergmans, Kobe, et al.
Published: (2025)

EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical and Life Science Text
by: Ahmed, Rafsan, et al.
Published: (2023)

VALID-Mol: a Systematic Framework for Validated LLM-Assisted Molecular Design
by: Malikussaid, et al.
Published: (2025)

Scalable Domain-decomposed Monte Carlo Neutral Transport for Nuclear Fusion
by: Lappi, Oskar, et al.
Published: (2025)

Distributed Generalized Linear Models: A Privacy-Preserving Approach
by: Tinoco, Daniel, et al.
Published: (2025)

Partitioned Neural Network Training via Synthetic Intermediate Labels
by: Karadağ, Cevat Volkan, et al.
Published: (2024)

HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms
by: Van Delm, Josse, et al.
Published: (2024)

MedBeads: An Agent-Native, Immutable Data Substrate for Trustworthy Medical AI
by: Nakajima, Takahito
Published: (2026)

Tram-FL: Routing-based Model Training for Decentralized Federated Learning
by: Maejima, Kota, et al.
Published: (2023)

A framework to reason about consistency and atomicity guarantees in a sparsely-connected, partially-replicated peer-to-peer system
by: Nair, Sreeja S., et al.
Published: (2026)

Riemannian Generative Decoder
by: Bjerregaard, Andreas, et al.
Published: (2025)

A Lock-Free, Fully GPU-Resident Architecture for the Verification of Goldbach's Conjecture
by: Llorente-Saguer, Isaac
Published: (2026)

Faster Vertex Cover Algorithms on GPUs with Component-Aware Parallel Branching
by: Amro, Hussein, et al.
Published: (2025)

SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation
by: Zhang, Zhuosheng, et al.
Published: (2021)

Heterogeneous graph neural networks for species distribution modeling
by: Harrell, Lauren, et al.
Published: (2025)

Cascaded Prediction and Asynchronous Execution of Iterative Algorithms on Heterogeneous Platforms
by: Gao, Jianhua, et al.
Published: (2024)

To Compute or not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge Computing
by: Ballotta, Luca, et al.
Published: (2022)

De-Individualizing fMRI Signals via Mahalanobis Whitening and Bures Geometry
by: Jacobson, Aaron, et al.
Published: (2025)

Spark-LLM-Eval: A Distributed Framework for Statistically Rigorous Large Language Model Evaluation
by: Mitra, Subhadip
Published: (2026)

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures
by: Ansari, Mufakir Qamar, et al.
Published: (2025)

I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey
by: Lewis, Noah, et al.
Published: (2024)

Automated Cell Structure Extraction for 3D Electron Microscopy by Deep Learning
by: Kousaka, Jin, et al.
Published: (2024)

CRDT-Based Game State Synchronization in Peer-to-Peer VR
by: Dantas, Abel, et al.
Published: (2025)

A sandbox study proposal for private and distributed health data analysis
by: Brännvall, Rickard, et al.
Published: (2025)

Distributed Simulation of Large Multi-body Systems
by: Kale, Manas, et al.
Published: (2024)

ATLAHS: An Application-centric Network Simulator Toolchain for AI, HPC, and Distributed Storage
by: Shen, Siyuan, et al.
Published: (2025)

OpenCLAW-P2P v7.0-P2PCLAW: Resilient Multi-Layer Persistence, Live Reference Verification, and Production-Scale Evaluation of Decentralized AI Peer Review v7.0 -- Mathematical Corrections & Ecosystem Developments Edition
by: de Lafuente, Francisco Angulo, et al.
Published: (2026)

SCION: Size-aware Policy Orchestration for Nonstationary Object Caches (Long Paper Version)
by: Wang, Qizhi
Published: (2026)

Reasoning Provenance for Autonomous AI Agents: Structured Behavioral Analytics Beyond State Checkpoints and Execution Traces
by: Vispute, Neelmani, et al.
Published: (2026)