Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Saba, Issa, Arima, Eishi, Liu, Dai, Schulz, Martin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimizing Hardware Resource Partitioning and Job Allocations on Modern GPUs under Power Caps
by: Arima, Eishi, et al.
Published: (2024)
by: Arima, Eishi, et al.
Published: (2024)
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach
by: Saroliya, Urvij, et al.
Published: (2024)
by: Saroliya, Urvij, et al.
Published: (2024)
On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems
by: Arima, Eishi, et al.
Published: (2024)
by: Arima, Eishi, et al.
Published: (2024)
Taming GPU Underutilization via Static Partitioning and Fine-grained CPU Offloading
by: Schieffer, Gabin, et al.
Published: (2026)
by: Schieffer, Gabin, et al.
Published: (2026)
Towards Affordable, Adaptive and Automatic GNN Training on CPU-GPU Heterogeneous Platforms
by: Qiao, Tong, et al.
Published: (2025)
by: Qiao, Tong, et al.
Published: (2025)
Combining GPU and CPU for accelerating evolutionary computing workloads
by: Eynaliyev, Rustam, et al.
Published: (2025)
by: Eynaliyev, Rustam, et al.
Published: (2025)
HARP: Orchestrating Automated Parallel Training on Heterogeneous GPU Clusters
by: Liang, Antian, et al.
Published: (2025)
by: Liang, Antian, et al.
Published: (2025)
Co-Design and Evaluation of a CPU-Free MPI GPU Communication Abstraction and Implementation
by: Bridges, Patrick G., et al.
Published: (2026)
by: Bridges, Patrick G., et al.
Published: (2026)
HeteroSTA: A CPU-GPU Heterogeneous Static Timing Analysis Engine with Holistic Industrial Design Support
by: Guo, Zizheng, et al.
Published: (2025)
by: Guo, Zizheng, et al.
Published: (2025)
A Unified CPU-GPU Protocol for GNN Training
by: Lin, Yi-Chien, et al.
Published: (2024)
by: Lin, Yi-Chien, et al.
Published: (2024)
On the Partitioning of GPU Power among Multi-Instances
by: Vamja, Tirth, et al.
Published: (2025)
by: Vamja, Tirth, et al.
Published: (2025)
TURNIP: A "Nondeterministic" GPU Runtime with CPU RAM Offload
by: Ding, Zhimin, et al.
Published: (2024)
by: Ding, Zhimin, et al.
Published: (2024)
Efficient CPU-GPU Collaborative Inference for MoE-based LLMs on Memory-Limited Systems
by: Huang, En-Ming, et al.
Published: (2025)
by: Huang, En-Ming, et al.
Published: (2025)
Harnessing Integrated CPU-GPU System Memory for HPC: a first look into Grace Hopper
by: Schieffer, Gabin, et al.
Published: (2024)
by: Schieffer, Gabin, et al.
Published: (2024)
Optimal Resource Efficiency with Fairness in Heterogeneous GPU Clusters
by: Mo, Zizhao, et al.
Published: (2024)
by: Mo, Zizhao, et al.
Published: (2024)
SURGE: SuperBatch Unified Resource-efficient GPU Encoding for Heterogeneous Partitioned Data
by: Kapadia, Shashank, et al.
Published: (2026)
by: Kapadia, Shashank, et al.
Published: (2026)
Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration
by: Li, Zhonggen, et al.
Published: (2025)
by: Li, Zhonggen, et al.
Published: (2025)
WindGP: Efficient Graph Partitioning on Heterogenous Machines
by: Zeng, Li, et al.
Published: (2024)
by: Zeng, Li, et al.
Published: (2024)
A Study of Performance Programming of CPU, GPU accelerated Computers and SIMD Architecture
by: Yi, Xinyao
Published: (2024)
by: Yi, Xinyao
Published: (2024)
Incidence Constraints in Hypergraph Partitioning on GPU
by: Ronzani, Marco, et al.
Published: (2026)
by: Ronzani, Marco, et al.
Published: (2026)
APEX: Asynchronous Parallel CPU-GPU Execution for Online LLM Inference on Constrained GPUs
by: Fan, Jiakun, et al.
Published: (2025)
by: Fan, Jiakun, et al.
Published: (2025)
Serving Hybrid LLM Loads with SLO Guarantees Using CPU-GPU Attention Piggybacking
by: Mo, Zizhao, et al.
Published: (2026)
by: Mo, Zizhao, et al.
Published: (2026)
Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers
by: Maurya, Avinash, et al.
Published: (2024)
by: Maurya, Avinash, et al.
Published: (2024)
HybridGen: Efficient LLM Generative Inference via CPU-GPU Hybrid Computing
by: Lin, Mao, et al.
Published: (2026)
by: Lin, Mao, et al.
Published: (2026)
SiPipe: Bridging the CPU-GPU Utilization Gap for Efficient Pipeline-Parallel LLM Inference
by: He, Yongchao, et al.
Published: (2025)
by: He, Yongchao, et al.
Published: (2025)
A Unified Programming Model for Heterogeneous Computing with CPU and Accelerator Technologies
by: Xiong, Yuqing
Published: (2022)
by: Xiong, Yuqing
Published: (2022)
Cost-Performance Analysis: A Comparative Study of CPU-Based Serverless and GPU-Based Training Architectures
by: Barrak, Amine, et al.
Published: (2025)
by: Barrak, Amine, et al.
Published: (2025)
Cronus: Efficient LLM inference on Heterogeneous GPU Clusters via Partially Disaggregated Prefill
by: Liu, Yunzhao, et al.
Published: (2025)
by: Liu, Yunzhao, et al.
Published: (2025)
Hypergraph Partitioning on GPU with Distinct Incident Hyperedges and Size Constraints
by: Ronzani, Marco, et al.
Published: (2026)
by: Ronzani, Marco, et al.
Published: (2026)
TD3-Sched: Learning to Orchestrate Container-based Cloud-Edge Resources via Distributed Reinforcement Learning
by: Song, Shengye, et al.
Published: (2025)
by: Song, Shengye, et al.
Published: (2025)
Accelerating Mobile Inference through Fine-Grained CPU-GPU Co-Execution
by: Li, Zhuojin, et al.
Published: (2025)
by: Li, Zhuojin, et al.
Published: (2025)
A Practical Two-Stage Framework for GPU Resource and Power Prediction in Heterogeneous HPC Systems
by: Oztop, Beste, et al.
Published: (2026)
by: Oztop, Beste, et al.
Published: (2026)
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
by: Kamahori, Keisuke, et al.
Published: (2024)
by: Kamahori, Keisuke, et al.
Published: (2024)
Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs
by: Wahlgren, Jacob, et al.
Published: (2025)
by: Wahlgren, Jacob, et al.
Published: (2025)
Characterizing CPU-Induced Slowdowns in Multi-GPU LLM Inference
by: Chung, Euijun, et al.
Published: (2026)
by: Chung, Euijun, et al.
Published: (2026)
Scheduling Deep Learning Jobs in Multi-Tenant GPU Clusters via Wise Resource Sharing
by: Luo, Yizhou, et al.
Published: (2024)
by: Luo, Yizhou, et al.
Published: (2024)
AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments
by: Chen, Kefu, et al.
Published: (2026)
by: Chen, Kefu, et al.
Published: (2026)
Coordinated Power Management on Heterogeneous Systems
by: Zheng, Zhong, et al.
Published: (2025)
by: Zheng, Zhong, et al.
Published: (2025)
Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
by: Chang, Zihan, et al.
Published: (2024)
by: Chang, Zihan, et al.
Published: (2024)
HeRo: Adaptive Orchestration of Agentic RAG on Heterogeneous Mobile SoC
by: Li, Maoliang, et al.
Published: (2026)
by: Li, Maoliang, et al.
Published: (2026)
Similar Items
-
Optimizing Hardware Resource Partitioning and Job Allocations on Modern GPUs under Power Caps
by: Arima, Eishi, et al.
Published: (2024) -
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach
by: Saroliya, Urvij, et al.
Published: (2024) -
On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems
by: Arima, Eishi, et al.
Published: (2024) -
Taming GPU Underutilization via Static Partitioning and Fine-grained CPU Offloading
by: Schieffer, Gabin, et al.
Published: (2026) -
Towards Affordable, Adaptive and Automatic GNN Training on CPU-GPU Heterogeneous Platforms
by: Qiao, Tong, et al.
Published: (2025)