Cover Image

CudaMon: An R Package to Monitor NVIDIA GPUs, Showcased by Monitoring a GPU-accelerated Single-cell Analysis Workflow in R

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zadenoori, Mohammad Amin, Ceccaroni, Riccardo, Sales, Gabriele, Risso, Davide
Format:	Preprint
Published:	2026
Subjects:	Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

aminzadenoori/A-Comparison-of-Small-and-Large-Language-Models-for-Requirements-Classification: Comparison of Small and Large Language Models for Requirements Classification
by: Amin Zadenoori
Published: (2025)

Joint Training on AMD and NVIDIA GPUs
by: Hu, Jon, et al.
Published: (2026)

GeoWarp: An automatically differentiable and GPU-accelerated implicit MPM framework for geomechanics based on NVIDIA Warp
by: Zhao, Yidong, et al.
Published: (2025)

MixMashNet: An R Package for Single and Multilayer Networks
by: De Martino, Maria, et al.
Published: (2026)

Testing GPU Numerics: Finding Numerical Differences Between NVIDIA and AMD GPUs
by: Zahid, Anwar Hossain, et al.
Published: (2024)

Confidential Computing on NVIDIA Hopper GPUs: A Performance Benchmark Study
by: Zhu, Jianwei, et al.
Published: (2024)

Characterization-Guided GPU Fault Resilience in NVIDIA MPS
by: Liu, Rixin, et al.
Published: (2026)

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs
by: Tramm, John, et al.
Published: (2024)

Monitoring and Characterizing GPU Usage
by: Le Mai Weakley, et al.
Published: (2025)

Monitoring data in R with the lumberjack package
by: van der Loo, Mark P. J.
Published: (2020)

A GPU-accelerated Molecular Docking Workflow with Kubernetes and Apache Airflow
by: Medeiros, Daniel, et al.
Published: (2024)

Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs
by: Peng, Hongwu, et al.
Published: (2023)

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization
by: Zhang, Zijian, et al.
Published: (2025)

OpenACC offloading of the MFC compressible multiphase flow solver on AMD and NVIDIA GPUs
by: Wilfong, Benjamin, et al.
Published: (2024)

Cost-effective Deep Learning Infrastructure with NVIDIA GPU
by: Ghimire, Aatiz, et al.
Published: (2025)

Does Model Size Matter? A Comparison of Small and Large Language Models for Requirements Classification
by: Zadenoori, Mohammad Amin, et al.
Published: (2025)

PerceMon: Online Monitoring for Perception Systems
by: Balakrishnan, Anand, et al.
Published: (2021)

multilevLCA: An R Package for Single-Level and Multilevel Latent Class Analysis with Covariates
by: Lyrvall, Johan, et al.
Published: (2023)

A logging and reporting tool for NVIDIA GPUs
by: Andrea Esuli
Published: (2025)

A Distributed Approach for Persistent Homology Computation on a Large Scale
by: Ceccaroni, Riccardo, et al.
Published: (2024)

SGDRC: Software-Defined Dynamic Resource Control for Concurrent DNN Inference on NVIDIA GPUs
by: Zhang, Yongkang, et al.
Published: (2024)

matrixdist: An R Package for Statistical Analysis of Matrix Distributions
by: Bladt, Martin, et al.
Published: (2021)

MonSTeR: a Unified Model for Motion, Scene, Text Retrieval
by: Collorone, Luca, et al.
Published: (2025)

PySAGES: flexible, advanced sampling methods accelerated with GPUs
by: Rico, Pablo F. Zubieta, et al.
Published: (2023)

singleRcapture: An R Package for Single-Source Capture-Recapture Models
by: Chlebicki, Piotr, et al.
Published: (2024)

Generalization in Monitored Markov Decision Processes (Mon-MDPs)
by: Mohammedalamen, Montaser, et al.
Published: (2025)

Low-level I/O Monitoring for Scientific Workflows
by: Witzke, Joel, et al.
Published: (2024)

FedMon: Federated eBPF Monitoring for Distributed Anomaly Detection in Multi-Cluster Cloud Environments
by: Zehra, Sehar, et al.
Published: (2025)

MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
by: Zhang, Junyi, et al.
Published: (2024)

Investigation of Performance and Scalability of a Quantum-Inspired Evolutionary Optimizer (QIEO) on NVIDIA GPU
by: Mittal, Aman, et al.
Published: (2025)

stopp: An R Package for Spatio-Temporal Point Pattern Analysis
by: D'Angelo, Nicoletta, et al.
Published: (2024)

Comprehensive Plugin-Based Monitoring of Nexflow Workflow Executions
by: Kharma, Sami, et al.
Published: (2026)

Analyzing Modern NVIDIA GPU cores
by: Huerta, Rodrigo, et al.
Published: (2025)

FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs
by: Dege, Pengcuo, et al.
Published: (2025)

Secure Federated XGBoost with CUDA-accelerated Homomorphic Encryption via NVIDIA FLARE
by: Xu, Ziyue, et al.
Published: (2025)

Cuckoo-GPU: Accelerating Cuckoo Filters on Modern GPUs
by: Dortmann, Tim, et al.
Published: (2026)

A Survey of Popular R Packages for Cluster Analysis
by: Flynt, Abby, et al.
Published: (2016)

Thermal Analysis for NVIDIA GTX480 Fermi GPU Architecture
by: Nagendra, Savinay
Published: (2024)

Population-Adjusted Indirect Treatment Comparison with the outstandR Package in R
by: Green, Nathan
Published: (2026)

How Much Progress Has There Been in NVIDIA Datacenter GPUs?
by: Del Sozzo, Emanuele, et al.
Published: (2026)