Checkpoint and Restart: An Energy Consumption Characterization in Clusters
Fuente:
arXiv
Saved in:
| Main Authors: | Moran, Marina, Balladini, Javier, Rexachs, Dolores, Luque, Emilio |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimizing Checkpoint-Restart Mechanisms for HPC with DMTCP in Containers at NERSC
by: Timalsina, Madan, et al.
Published: (2024)
by: Timalsina, Madan, et al.
Published: (2024)
Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters
by: Thamm, Philipp, et al.
Published: (2025)
by: Thamm, Philipp, et al.
Published: (2025)
The Impact of Process Competition on Energy Consumption: Analysis and Modeling
by: Campos, Eduardo Gomes, et al.
Published: (2026)
by: Campos, Eduardo Gomes, et al.
Published: (2026)
Asynchronous Checkpoint for Eventually Consistent Databases
by: Ravishankar, Raaghav, et al.
Published: (2025)
by: Ravishankar, Raaghav, et al.
Published: (2025)
Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations
by: Özcan, Miray, et al.
Published: (2025)
by: Özcan, Miray, et al.
Published: (2025)
Optimal Checkpoint Interval with Availability as an Objective Function
by: Saxena, Nirmal Raj, et al.
Published: (2024)
by: Saxena, Nirmal Raj, et al.
Published: (2024)
Scrutinizing Variables for Checkpoint Using Automatic Differentiation
by: Huang, Xin, et al.
Published: (2026)
by: Huang, Xin, et al.
Published: (2026)
CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads
by: Stoyanov, Radostin, et al.
Published: (2025)
by: Stoyanov, Radostin, et al.
Published: (2025)
Mobile Cloud Computing in Healthcare Using Dynamic Cloudlets for Energy-Aware Consumption
by: Muniswamaiah, Manoj, et al.
Published: (2019)
by: Muniswamaiah, Manoj, et al.
Published: (2019)
Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM Inference Workloads
by: Wilkins, Grant, et al.
Published: (2024)
by: Wilkins, Grant, et al.
Published: (2024)
Sparse Checkpointing for Fast and Reliable MoE Training
by: Gandhi, Swapnil, et al.
Published: (2024)
by: Gandhi, Swapnil, et al.
Published: (2024)
Efficient LLM Inference with Activation Checkpointing and Hybrid Caching
by: Lee, Sanghyeon, et al.
Published: (2025)
by: Lee, Sanghyeon, et al.
Published: (2025)
Falafels: A tool for Estimating Federated Learning Energy Consumption via Discrete Simulation
by: de Barochez, Andrew Mary Huet, et al.
Published: (2025)
by: de Barochez, Andrew Mary Huet, et al.
Published: (2025)
EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training
by: Jamil, Hasibul, et al.
Published: (2025)
by: Jamil, Hasibul, et al.
Published: (2025)
CRIU -- Checkpoint Restore in Userspace for computational simulations and scientific applications
by: Andrijauskas, Fabio, et al.
Published: (2024)
by: Andrijauskas, Fabio, et al.
Published: (2024)
Understanding LLM Checkpoint/Restore I/O Strategies and Patterns
by: Gossman, Mikaila J., et al.
Published: (2025)
by: Gossman, Mikaila J., et al.
Published: (2025)
Proof of Team Sprint: A Collaborative Consensus Algorithm for Reducing Energy Consumption in Blockchain Systems
by: Yonezawa, Naoki
Published: (2024)
by: Yonezawa, Naoki
Published: (2024)
Dalek: An Unconventional and Energy-Aware Heterogeneous Cluster
by: Cassagne, Adrien, et al.
Published: (2025)
by: Cassagne, Adrien, et al.
Published: (2025)
Checkmate: Zero-Overhead Model Checkpointing via Network Gradient Replication
by: Bhardwaj, Ankit, et al.
Published: (2025)
by: Bhardwaj, Ankit, et al.
Published: (2025)
Optimizing Frequent Checkpointing via Low-Cost Differential for Distributed Training Systems
by: Yao, Chenxuan, et al.
Published: (2025)
by: Yao, Chenxuan, et al.
Published: (2025)
LLMTailor: A Layer-wise Tailoring Tool for Efficient Checkpointing of Large Language Models
by: Sun, Minqiu, et al.
Published: (2026)
by: Sun, Minqiu, et al.
Published: (2026)
Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters
by: Thamsen, Lauritz, et al.
Published: (2025)
by: Thamsen, Lauritz, et al.
Published: (2025)
Modality Inflation: Energy Characterization and Optimization Opportunities for MLLM Inference
by: Moghadampanah, Mona, et al.
Published: (2025)
by: Moghadampanah, Mona, et al.
Published: (2025)
Augur: Pre-Execution Energy Prediction for Workflow Tasks in Heterogeneous Clusters
by: West, Kathleen, et al.
Published: (2026)
by: West, Kathleen, et al.
Published: (2026)
A Comprehensive Analysis of Process Energy Consumption on Multi-Socket Systems with GPUs
by: León-Vega, Luis G., et al.
Published: (2024)
by: León-Vega, Luis G., et al.
Published: (2024)
Electricity Consumption of Ethereum and Filecoin: Advances in Models and Estimates
by: Pankovska, Elitsa, et al.
Published: (2024)
by: Pankovska, Elitsa, et al.
Published: (2024)
CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows
by: Siachamis, George, et al.
Published: (2024)
by: Siachamis, George, et al.
Published: (2024)
Steady and Energy-Efficient Multi-Hop Clustering for Flying Ad-Hoc Networks (FANETs)
by: Mamalis, Basilis, et al.
Published: (2025)
by: Mamalis, Basilis, et al.
Published: (2025)
COUNTER: Cluster GCN based Energy Efficient Resource Management for Sustainable Cloud Computing Environments
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
ParaLog: Consistent Host-side Logging for Parallel Checkpoints
by: Chien, Steven W. D., et al.
Published: (2024)
by: Chien, Steven W. D., et al.
Published: (2024)
Orbax: Distributed Checkpointing with JAX
by: Gaffney, Colin, et al.
Published: (2026)
by: Gaffney, Colin, et al.
Published: (2026)
Performance Characterization of Distributed Deep Learning Strategies: A Quantitative Evaluation of DDP, FSDP, and Parameter Server Architectures on GPU Clusters
by: Ovi, Md Sultanul Islam
Published: (2025)
by: Ovi, Md Sultanul Islam
Published: (2025)
The Energy Cost of Execution-Idle in GPU Clusters
by: Lei, Yiran, et al.
Published: (2026)
by: Lei, Yiran, et al.
Published: (2026)
Where Do the Joules Go? Diagnosing Inference Energy Consumption
by: Chung, Jae-Won, et al.
Published: (2026)
by: Chung, Jae-Won, et al.
Published: (2026)
Modeling Anomaly Detection in Cloud Services: Analysis of the Properties that Impact Latency and Resource Consumption
by: Grabher, Gabriel Job Antunes, et al.
Published: (2025)
by: Grabher, Gabriel Job Antunes, et al.
Published: (2025)
Fault-Tolerant Hybrid-Parallel Training at Scale with Reliable and Efficient In-memory Checkpointing
by: Wang, Yuxin, et al.
Published: (2023)
by: Wang, Yuxin, et al.
Published: (2023)
Universal Checkpointing: A Flexible and Efficient Distributed Checkpointing System for Large-Scale DNN Training with Reconfigurable Parallelis
by: Lian, Xinyu, et al.
Published: (2024)
by: Lian, Xinyu, et al.
Published: (2024)
DataStates-LLM: Scalable Checkpointing for Transformer Models Using Composable State Providers
by: Maurya, Avinash, et al.
Published: (2026)
by: Maurya, Avinash, et al.
Published: (2026)
BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT
by: Ju, Zehao, et al.
Published: (2024)
by: Ju, Zehao, et al.
Published: (2024)
All is Not Lost: LLM Recovery without Checkpoints
by: Blagoev, Nikolay, et al.
Published: (2025)
by: Blagoev, Nikolay, et al.
Published: (2025)
Similar Items
-
Optimizing Checkpoint-Restart Mechanisms for HPC with DMTCP in Containers at NERSC
by: Timalsina, Madan, et al.
Published: (2024) -
Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters
by: Thamm, Philipp, et al.
Published: (2025) -
The Impact of Process Competition on Energy Consumption: Analysis and Modeling
by: Campos, Eduardo Gomes, et al.
Published: (2026) -
Asynchronous Checkpoint for Eventually Consistent Databases
by: Ravishankar, Raaghav, et al.
Published: (2025) -
Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations
by: Özcan, Miray, et al.
Published: (2025)