CoFormer: Collaborating with Heterogeneous Edge Devices for Scalable Transformer Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Guanyu, Hao, Zhiwei, Shen, Li, Luo, Yong, Sun, Fuhui, Wang, Xiaoyan, Hu, Han, Wen, Yonggang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs
by: Ng, Nathan, et al.
Published: (2026)
by: Ng, Nathan, et al.
Published: (2026)
HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices
by: Zhao, Xuanlei, et al.
Published: (2024)
by: Zhao, Xuanlei, et al.
Published: (2024)
Opt4GPTQ: Co-Optimizing Memory and Computation for 4-bit GPTQ Quantized LLM Inference on Heterogeneous Platforms
by: Zhang, Yaozheng, et al.
Published: (2025)
by: Zhang, Yaozheng, et al.
Published: (2025)
Active Inference-Based Adaptive Routing for Heterogeneous Edge AI Services
by: Wang, Zihang, et al.
Published: (2026)
by: Wang, Zihang, et al.
Published: (2026)
CoServe: Efficient Collaboration-of-Experts (CoE) Model Inference with Limited Memory
by: Suo, Jiashun, et al.
Published: (2025)
by: Suo, Jiashun, et al.
Published: (2025)
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)
Multi-DNN Inference of Sparse Models on Edge SoCs
by: Luo, Jiawei, et al.
Published: (2026)
by: Luo, Jiawei, et al.
Published: (2026)
A dynamic parallel method for performance optimization on hybrid CPUs
by: Yu, Luo, et al.
Published: (2024)
by: Yu, Luo, et al.
Published: (2024)
LMDeploy Accelerates Mixed-Precision LLM Inference with TurboMind
by: Zhang, Li, et al.
Published: (2025)
by: Zhang, Li, et al.
Published: (2025)
THAPI: Tracing Heterogeneous APIs
by: Bekele, Solomon, et al.
Published: (2025)
by: Bekele, Solomon, et al.
Published: (2025)
Bridding OT and PaaS in Edge-to-Cloud Continuum
by: Barrios, Carlos J, et al.
Published: (2025)
by: Barrios, Carlos J, et al.
Published: (2025)
Scalable GPU Performance Variability Analysis framework
by: Lahiry, Ankur, et al.
Published: (2025)
by: Lahiry, Ankur, et al.
Published: (2025)
mLR: Scalable Laminography Reconstruction based on Memoization
by: Ma, Bin, et al.
Published: (2025)
by: Ma, Bin, et al.
Published: (2025)
Performance Impact of Containerized METADOCK 2 on Heterogeneous Platforms
by: Banegas-Luna, Antonio Jesús, et al.
Published: (2025)
by: Banegas-Luna, Antonio Jesús, et al.
Published: (2025)
Understanding Power Consumption Metric on Heterogeneous Memory Systems
by: Proaño, Andrès Rubio, et al.
Published: (2024)
by: Proaño, Andrès Rubio, et al.
Published: (2024)
WebAssembly and Unikernels: A Comparative Study for Serverless at the Edge
by: Besozzi, Valerio, et al.
Published: (2025)
by: Besozzi, Valerio, et al.
Published: (2025)
Characterizing Adaptive Mesh Refinement on Heterogeneous Platforms with Parthenon-VIBE
by: Poptani, Akash, et al.
Published: (2025)
by: Poptani, Akash, et al.
Published: (2025)
Toward Scalable Docker-Based Emulations of Blockchain Networks for Research and Development
by: Pennino, Diego, et al.
Published: (2024)
by: Pennino, Diego, et al.
Published: (2024)
Scalable Systems and Software Architectures for High-Performance Computing on cloud platforms
by: Ramesh, Risshab Srinivas
Published: (2024)
by: Ramesh, Risshab Srinivas
Published: (2024)
Towards a Scalable and Efficient PGAS-based Distributed OpenMP
by: Shan, Baodi, et al.
Published: (2024)
by: Shan, Baodi, et al.
Published: (2024)
Enhancing Performance Insight at Scale: A Heterogeneous Framework for Exascale Diagnostics
by: Grbic, Dragana
Published: (2026)
by: Grbic, Dragana
Published: (2026)
Less is More: Optimizing Function Calling for LLM Execution on Edge Devices
by: Paramanayakam, Varatheepan, et al.
Published: (2024)
by: Paramanayakam, Varatheepan, et al.
Published: (2024)
ADELIA: Automatic Differentiation for Efficient Laplace Inference Approximations
by: Boudaoud, Afif, et al.
Published: (2026)
by: Boudaoud, Afif, et al.
Published: (2026)
Fast and Scalable Mixed Precision Euclidean Distance Calculations Using GPU Tensor Cores
by: Curless, Brian, et al.
Published: (2025)
by: Curless, Brian, et al.
Published: (2025)
Comparing the Performance of Heterogeneous Conjugate Gradient and Cholesky Solvers on Various Hardware Using SYCL
by: Thüring, Tim, et al.
Published: (2026)
by: Thüring, Tim, et al.
Published: (2026)
Fine-Grained Energy Prediction For Parallellized LLM Inference With PIE-P
by: Dutt, Anurag, et al.
Published: (2025)
by: Dutt, Anurag, et al.
Published: (2025)
Understanding Inference Scaling for LLMs: Bottlenecks, Trade-offs, and Performance Principles
by: Arif, Moiz, et al.
Published: (2026)
by: Arif, Moiz, et al.
Published: (2026)
RAPID-LLM: Resilience-Aware Performance analysis of Infrastructure for Distributed LLM Training and Inference
by: Karfakis, George, et al.
Published: (2025)
by: Karfakis, George, et al.
Published: (2025)
HybridGen: Efficient LLM Generative Inference via CPU-GPU Hybrid Computing
by: Lin, Mao, et al.
Published: (2026)
by: Lin, Mao, et al.
Published: (2026)
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications
by: Scheinert, Dominik, et al.
Published: (2023)
by: Scheinert, Dominik, et al.
Published: (2023)
CARAT: Client-Side Adaptive RPC and Cache Co-Tuning for Parallel File Systems
by: Rashid, Md Hasanur, et al.
Published: (2026)
by: Rashid, Md Hasanur, et al.
Published: (2026)
Matryoshka: Optimization of Dynamic Diverse Quantum Chemistry Systems via Elastic Parallelism Transformation
by: Wang, Tuowei, et al.
Published: (2024)
by: Wang, Tuowei, et al.
Published: (2024)
An Auto-tuning Method for Run-time Data Transformation for Sparse Matrix-Vector Multiplication
by: Katagiri, Takahiro, et al.
Published: (2024)
by: Katagiri, Takahiro, et al.
Published: (2024)
DUAL-BLADE: Dual-Path NVMe-Direct KV-Cache Offloading for Edge LLM Inference
by: Jeong, Bodon, et al.
Published: (2026)
by: Jeong, Bodon, et al.
Published: (2026)
Accelerating Mobile Inference through Fine-Grained CPU-GPU Co-Execution
by: Li, Zhuojin, et al.
Published: (2025)
by: Li, Zhuojin, et al.
Published: (2025)
CloudFormer: An Attention-based Performance Prediction for Public Clouds with Unknown Workload
by: Shahbazinia, Amirhossein, et al.
Published: (2025)
by: Shahbazinia, Amirhossein, et al.
Published: (2025)
Synthesizing Proxy Applications for MPI Programs
by: Luo, Jiyu, et al.
Published: (2023)
by: Luo, Jiyu, et al.
Published: (2023)
Cloud Resource Allocation with Convex Optimization
by: Boghani, Shayan, et al.
Published: (2025)
by: Boghani, Shayan, et al.
Published: (2025)
Rethinking Inference Placement for Deep Learning across Edge and Cloud Platforms: A Multi-Objective Optimization Perspective and Future Directions
by: Zhang, Zongshun, et al.
Published: (2025)
by: Zhang, Zongshun, et al.
Published: (2025)
FluxSieve: Unifying Streaming and Analytical Data Planes for Scalable Cloud Observability
by: Vogel, Adriano, et al.
Published: (2026)
by: Vogel, Adriano, et al.
Published: (2026)
Similar Items
-
Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs
by: Ng, Nathan, et al.
Published: (2026) -
HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices
by: Zhao, Xuanlei, et al.
Published: (2024) -
Opt4GPTQ: Co-Optimizing Memory and Computation for 4-bit GPTQ Quantized LLM Inference on Heterogeneous Platforms
by: Zhang, Yaozheng, et al.
Published: (2025) -
Active Inference-Based Adaptive Routing for Heterogeneous Edge AI Services
by: Wang, Zihang, et al.
Published: (2026) -
CoServe: Efficient Collaboration-of-Experts (CoE) Model Inference with Limited Memory
by: Suo, Jiashun, et al.
Published: (2025)