Benchmarking Machine Learning Applications on Heterogeneous Architecture using Reframe
Fuente:
arXiv
Guardado en:
| Autores principales: | Rae, Christopher, Lee, Joseph K. L., Richings, James, Weiland, Michele |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
2BP: 2-Stage Backpropagation
por: Rae, Christopher, et al.
Publicado: (2024)
por: Rae, Christopher, et al.
Publicado: (2024)
Benchmarking Different Application Types across Heterogeneous Cloud Compute Services
por: Duggi, Nivedhitha, et al.
Publicado: (2025)
por: Duggi, Nivedhitha, et al.
Publicado: (2025)
Introducing CQ: A C-like API for Quantum Accelerated HPC
por: Brown, Oliver Thomson, et al.
Publicado: (2025)
por: Brown, Oliver Thomson, et al.
Publicado: (2025)
Memory-aware Adaptive Scheduling of Scientific Workflows on Heterogeneous Architectures
por: Kulagina, Svetlana, et al.
Publicado: (2025)
por: Kulagina, Svetlana, et al.
Publicado: (2025)
Application-Centric Benchmarking of Distributed FaaS Platforms using BeFaaS
por: Grambow, Martin, et al.
Publicado: (2023)
por: Grambow, Martin, et al.
Publicado: (2023)
WindGP: Efficient Graph Partitioning on Heterogenous Machines
por: Zeng, Li, et al.
Publicado: (2024)
por: Zeng, Li, et al.
Publicado: (2024)
Serverless Computing: Architecture, Concepts, and Applications
por: Ghorbian, Mohsen, et al.
Publicado: (2025)
por: Ghorbian, Mohsen, et al.
Publicado: (2025)
Optimizing Allreduce Operations for Modern Heterogeneous Architectures with Multiple Processes per GPU
por: Adams, Michael, et al.
Publicado: (2025)
por: Adams, Michael, et al.
Publicado: (2025)
A Survey of Real-time Scheduling on Accelerator-based Heterogeneous Architecture for Time Critical Applications
por: Zou, An, et al.
Publicado: (2025)
por: Zou, An, et al.
Publicado: (2025)
Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning
por: Saba, Issa, et al.
Publicado: (2024)
por: Saba, Issa, et al.
Publicado: (2024)
Implementing OpenMP for Zig to enable its use in HPC context
por: Kacs, David, et al.
Publicado: (2024)
por: Kacs, David, et al.
Publicado: (2024)
High-Dimensional Data Processing: Benchmarking Machine Learning and Deep Learning Architectures in Local and Distributed Environments
por: Rodriguez, Julian, et al.
Publicado: (2025)
por: Rodriguez, Julian, et al.
Publicado: (2025)
Hybrid Cloud Architectures for Research Computing: Applications and Use Cases
por: Stiensmeier, Xaver, et al.
Publicado: (2026)
por: Stiensmeier, Xaver, et al.
Publicado: (2026)
Watt Counts: Energy-Aware Benchmark for Sustainable LLM Inference on Heterogeneous GPU Architectures
por: Argerich, Mauricio Fadel, et al.
Publicado: (2026)
por: Argerich, Mauricio Fadel, et al.
Publicado: (2026)
Dynamic Detection of Inefficient Data Mapping Patterns in Heterogeneous OpenMP Applications
por: Marzen, Luke, et al.
Publicado: (2026)
por: Marzen, Luke, et al.
Publicado: (2026)
A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications
por: Boiano, Antonio, et al.
Publicado: (2024)
por: Boiano, Antonio, et al.
Publicado: (2024)
Increasing Efficiency and Result Reliability of Continuous Benchmarking for FaaS Applications
por: Rese, Tim C., et al.
Publicado: (2024)
por: Rese, Tim C., et al.
Publicado: (2024)
Benchmarking Compound AI Applications for Hardware-Software Co-Design
por: Samuthrsindh, Paramuth, et al.
Publicado: (2026)
por: Samuthrsindh, Paramuth, et al.
Publicado: (2026)
Performance and scaling of the LFRic weather and climate model on different generations of HPE Cray EX supercomputers
por: Bull, J. Mark, et al.
Publicado: (2024)
por: Bull, J. Mark, et al.
Publicado: (2024)
Resource-efficient Parallel Split Learning in Heterogeneous Edge Computing
por: Zhang, Mingjin, et al.
Publicado: (2024)
por: Zhang, Mingjin, et al.
Publicado: (2024)
Exploring System-Heterogeneous Federated Learning with Dynamic Model Selection
por: Yao, Dixi
Publicado: (2024)
por: Yao, Dixi
Publicado: (2024)
Bridging Memory Gaps: Scaling Federated Learning for Heterogeneous Clients
por: Wu, Yebo, et al.
Publicado: (2024)
por: Wu, Yebo, et al.
Publicado: (2024)
HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments
por: He, Yongjun, et al.
Publicado: (2025)
por: He, Yongjun, et al.
Publicado: (2025)
Analysis and Optimization of Wireless Multimodal Federated Learning on Modal Heterogeneity
por: Han, Xuefeng, et al.
Publicado: (2025)
por: Han, Xuefeng, et al.
Publicado: (2025)
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
por: Wang, Jiaqi, et al.
Publicado: (2024)
por: Wang, Jiaqi, et al.
Publicado: (2024)
FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture
por: Sobati-M, Somayeh
Publicado: (2025)
por: Sobati-M, Somayeh
Publicado: (2025)
Jenga: Effective Memory Management for Serving LLM with Heterogeneity
por: Zhang, Chen, et al.
Publicado: (2025)
por: Zhang, Chen, et al.
Publicado: (2025)
Heterogeneity: An Open Challenge for Federated On-board Machine Learning
por: Hartmann, Maria, et al.
Publicado: (2024)
por: Hartmann, Maria, et al.
Publicado: (2024)
Algorithms for Collaborative Machine Learning under Statistical Heterogeneity
por: Hahn, Seok-Ju
Publicado: (2024)
por: Hahn, Seok-Ju
Publicado: (2024)
CARM Tool: Cache-Aware Roofline Model Automatic Benchmarking and Application Analysis
por: Morgado, José, et al.
Publicado: (2026)
por: Morgado, José, et al.
Publicado: (2026)
Personalized Federated Learning on Data with Dynamic Heterogeneity under Limited Storage
por: Tan, Sixing, et al.
Publicado: (2024)
por: Tan, Sixing, et al.
Publicado: (2024)
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models
por: Gao, Wentao, et al.
Publicado: (2024)
por: Gao, Wentao, et al.
Publicado: (2024)
Data Heterogeneity-Aware Client Selection for Federated Learning in Wireless Networks
por: Yang, Yanbing, et al.
Publicado: (2025)
por: Yang, Yanbing, et al.
Publicado: (2025)
DFPL: Decentralized Federated Prototype Learning Across Heterogeneous Data Distributions
por: Zhang, Hongliang, et al.
Publicado: (2025)
por: Zhang, Hongliang, et al.
Publicado: (2025)
Scaling Up Throughput-oriented LLM Inference Applications on Heterogeneous Opportunistic GPU Clusters with Pervasive Context Management
por: Phung, Thanh Son, et al.
Publicado: (2025)
por: Phung, Thanh Son, et al.
Publicado: (2025)
Data Augmentation and Convolutional Network Architecture Influence on Distributed Learning
por: Jansen, Victor Forattini, et al.
Publicado: (2026)
por: Jansen, Victor Forattini, et al.
Publicado: (2026)
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing
por: Yebo, Wu, et al.
Publicado: (2024)
por: Yebo, Wu, et al.
Publicado: (2024)
HLoRA: Efficient Federated Learning System for LLM Heterogeneous Fine-Tuning
por: Liu, Qianli, et al.
Publicado: (2025)
por: Liu, Qianli, et al.
Publicado: (2025)
Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators
por: Banerjee, Roopkatha, et al.
Publicado: (2025)
por: Banerjee, Roopkatha, et al.
Publicado: (2025)
A HPX Communication Benchmark: Distributed FFT using Collectives
por: Strack, Alexander, et al.
Publicado: (2025)
por: Strack, Alexander, et al.
Publicado: (2025)
Ejemplares similares
-
2BP: 2-Stage Backpropagation
por: Rae, Christopher, et al.
Publicado: (2024) -
Benchmarking Different Application Types across Heterogeneous Cloud Compute Services
por: Duggi, Nivedhitha, et al.
Publicado: (2025) -
Introducing CQ: A C-like API for Quantum Accelerated HPC
por: Brown, Oliver Thomson, et al.
Publicado: (2025) -
Memory-aware Adaptive Scheduling of Scientific Workflows on Heterogeneous Architectures
por: Kulagina, Svetlana, et al.
Publicado: (2025) -
Application-Centric Benchmarking of Distributed FaaS Platforms using BeFaaS
por: Grambow, Martin, et al.
Publicado: (2023)