:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Vilca-Tinta, Cliver W., Torres-Cruz, Fred, Quispe-Morales, Josefh J.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Distributed, Parallel, and Cluster Computing Computation Machine Learning
Accesso online:	https://arxiv.org/abs/2408.00014
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

The Impact of Process Competition on Energy Consumption: Analysis and Modeling
di: Campos, Eduardo Gomes, et al.
Pubblicazione: (2026)

ARIMA_PLUS: Large-scale, Accurate, Automatic and Interpretable In-Database Time Series Forecasting and Anomaly Detection in Google BigQuery
di: Cheng, Xi, et al.
Pubblicazione: (2025)

BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation
di: Sengupta, Rahul, et al.
Pubblicazione: (2026)

Mobile Cloud Computing in Healthcare Using Dynamic Cloudlets for Energy-Aware Consumption
di: Muniswamaiah, Manoj, et al.
Pubblicazione: (2019)

Checkpoint and Restart: An Energy Consumption Characterization in Clusters
di: Moran, Marina, et al.
Pubblicazione: (2024)

Lectures on Parallel Computing
di: Träff, Jesper Larsson
Pubblicazione: (2024)

Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
di: Bhawiyuga, Adhitya, et al.
Pubblicazione: (2025)

A Comprehensive Analysis of Process Energy Consumption on Multi-Socket Systems with GPUs
di: León-Vega, Luis G., et al.
Pubblicazione: (2024)

An Efficient Approach for Energy Conservation in Cloud Computing Environment
di: Pande, Sohan Kumar, et al.
Pubblicazione: (2025)

Advancing Polyglot Big Data Processing using the Hadoop ecosystem
di: Seabra, Antony, et al.
Pubblicazione: (2025)

Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing
di: Lyu, Chenghao, et al.
Pubblicazione: (2022)

Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations
di: Özcan, Miray, et al.
Pubblicazione: (2025)

Optimizing Resource Allocation and Energy Efficiency in Federated Fog Computing for IoT
di: Shah, Syed Sarmad, et al.
Pubblicazione: (2025)

Falafels: A tool for Estimating Federated Learning Energy Consumption via Discrete Simulation
di: de Barochez, Andrew Mary Huet, et al.
Pubblicazione: (2025)

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training
di: Jamil, Hasibul, et al.
Pubblicazione: (2025)

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters
di: Thamm, Philipp, et al.
Pubblicazione: (2025)

Parallelized Multi-Agent Bayesian Optimization in Lava
di: Snyder, Shay, et al.
Pubblicazione: (2024)

Energy Efficiency Support for Software Defined Networks: a Serverless Computing Approach
di: Banaie, Fatemeh, et al.
Pubblicazione: (2024)

Enhancing ASIC Technology Mapping via Parallel Supergate Computing
di: Cai, Ye, et al.
Pubblicazione: (2024)

Resource-efficient Parallel Split Learning in Heterogeneous Edge Computing
di: Zhang, Mingjin, et al.
Pubblicazione: (2024)

What Every Computer Scientist Needs To Know About Parallelization
di: Adefemi, Temitayo
Pubblicazione: (2025)

Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification
di: Will, Jonathan, et al.
Pubblicazione: (2025)

Proof of Team Sprint: A Collaborative Consensus Algorithm for Reducing Energy Consumption in Blockchain Systems
di: Yonezawa, Naoki
Pubblicazione: (2024)

Performance-Driven Optimization of Parallel Breadth-First Search
di: Bhaskar, Marati, et al.
Pubblicazione: (2025)

Ktirio Urban Building: A Computational Framework for City Energy Simulations Enhanced by CI/CD Innovations on EuroHPC Systems
di: Prud'Homme, Christophe, et al.
Pubblicazione: (2024)

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
di: Liu, Chen, et al.
Pubblicazione: (2025)

GPU-Based Parallel Computing Methods for Medical Photoacoustic Image Reconstruction
di: Yi, Xinyao, et al.
Pubblicazione: (2024)

Minimizing Communication for Parallel Symmetric Tensor Times Same Vector Computation
di: Daas, Hussam Al, et al.
Pubblicazione: (2025)

Towards Serverless Processing of Spatiotemporal Big Data Queries
di: Baumann, Diana, et al.
Pubblicazione: (2025)

A Simulated Annealing Approach to Identical Parallel Machine Scheduling
di: Li, Jiaxing, et al.
Pubblicazione: (2024)

Optimizing View Change for Byzantine Fault Tolerance in Parallel Consensus
di: Xie, Yifei, et al.
Pubblicazione: (2026)

Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
di: Luo, Jiajun, et al.
Pubblicazione: (2024)

Parallelization of the K-Means Algorithm with Applications to Big Data Clustering
di: Srivastava, Ashish, et al.
Pubblicazione: (2024)

OCEP: An Ontology-Based Complex Event Processing Framework for Healthcare Decision Support in Big Data Analytics
di: Chandra, Ritesh, et al.
Pubblicazione: (2025)

Communication-Computation Pipeline Parallel Split Learning over Wireless Edge Networks
di: Liu, Chenyu, et al.
Pubblicazione: (2025)

Workflow-Driven Modeling for the Compute Continuum: An Optimization Approach to Automated System and Workload Scheduling
di: Sharma, Aasish Kumar, et al.
Pubblicazione: (2025)

EfiMon: A Process Analyser for Granular Power Consumption Prediction
di: León-Vega, Luis G., et al.
Pubblicazione: (2024)

Balancing Pipeline Parallelism with Vocabulary Parallelism
di: Yeung, Man Tsung, et al.
Pubblicazione: (2024)

Parallel Reduced Order Modeling for Digital Twins using High-Performance Computing Workflows
di: de Parga, S. Ares, et al.
Pubblicazione: (2024)

EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution
di: Bourgeois, Daniel, et al.
Pubblicazione: (2024)