Fast Iterative Graph Computing with Updated Neighbor States
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhou, Yijie, Gong, Shufeng, Yao, Feng, Chen, Hanzhang, Yu, Song, Liu, Pengxi, Zhang, Yanfeng, Yu, Ge, Yu, Jeffrey Xu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism
por: Ai, Xin, et al.
Publicado: (2024)
por: Ai, Xin, et al.
Publicado: (2024)
AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments
por: Chen, Kefu, et al.
Publicado: (2026)
por: Chen, Kefu, et al.
Publicado: (2026)
Incremental GNN Embedding Computation on Streaming Graphs
por: Wang, Qiange, et al.
Publicado: (2026)
por: Wang, Qiange, et al.
Publicado: (2026)
Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search
por: Li, Zhonggen, et al.
Publicado: (2025)
por: Li, Zhonggen, et al.
Publicado: (2025)
SOLANET: Distributed Neighbor Graph Construction on GPU-Accelerated Systems
por: Iwabuchi, Keita, et al.
Publicado: (2026)
por: Iwabuchi, Keita, et al.
Publicado: (2026)
A Survey of Distributed Graph Algorithms on Massive Graphs
por: Meng, Lingkai, et al.
Publicado: (2024)
por: Meng, Lingkai, et al.
Publicado: (2024)
Efficient Graph-Based Approximate Nearest Neighbor Search Achieving: Low Latency Without Throughput Loss
por: Luo, Jingjia, et al.
Publicado: (2025)
por: Luo, Jingjia, et al.
Publicado: (2025)
FaaSTube: Optimizing GPU-oriented Data Transfer for Serverless Computing
por: Wu, Hao, et al.
Publicado: (2024)
por: Wu, Hao, et al.
Publicado: (2024)
Torpor: GPU-Enabled Serverless Computing for Low-Latency, Resource-Efficient Inference
por: Yu, Minchen, et al.
Publicado: (2023)
por: Yu, Minchen, et al.
Publicado: (2023)
Performance Comparison of Graph Representations Which Support Dynamic Graph Updates
por: Sahu, Subhajit
Publicado: (2025)
por: Sahu, Subhajit
Publicado: (2025)
pdGRASS: A Fast Parallel Density-Aware Algorithm for Graph Spectral Sparsification
por: Zhao, Tiancheng, et al.
Publicado: (2025)
por: Zhao, Tiancheng, et al.
Publicado: (2025)
Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control
por: Wang, Zhigang, et al.
Publicado: (2024)
por: Wang, Zhigang, et al.
Publicado: (2024)
Fast State Restoration in LLM Serving with HCache
por: Gao, Shiwei, et al.
Publicado: (2024)
por: Gao, Shiwei, et al.
Publicado: (2024)
Gensor: A Graph-based Construction Tensor Compilation Method for Deep Learning
por: Liu, Hangda, et al.
Publicado: (2025)
por: Liu, Hangda, et al.
Publicado: (2025)
Near-Zero-Overhead Freshness for Recommendation Systems via Inference-Side Model Updates
por: Yu, Wenjun, et al.
Publicado: (2025)
por: Yu, Wenjun, et al.
Publicado: (2025)
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective
por: Yuan, Hao, et al.
Publicado: (2023)
por: Yuan, Hao, et al.
Publicado: (2023)
FastGraph: Optimized GPU-Enabled Algorithms for Fast Graph Building and Message Passing
por: Agarwal, Aarush, et al.
Publicado: (2025)
por: Agarwal, Aarush, et al.
Publicado: (2025)
NAVIS: Concurrent Search and Update with Low Position-Seeking Overhead in On-SSD Graph-Based Vector Search
por: Song, Jaeyong, et al.
Publicado: (2026)
por: Song, Jaeyong, et al.
Publicado: (2026)
Graph for Science: From API based Programming to Graph Engine based Programming for HPC
por: Zhang, Yu, et al.
Publicado: (2023)
por: Zhang, Yu, et al.
Publicado: (2023)
Fast-HotStuff: A Fast and Resilient HotStuff Protocol
por: Jalalzai, Mohammad M., et al.
Publicado: (2020)
por: Jalalzai, Mohammad M., et al.
Publicado: (2020)
GRNND: A GPU-Parallel Relative NN-Descent Algorithm for Efficient Approximate Nearest Neighbor Graph Construction
por: Li, Xiang, et al.
Publicado: (2025)
por: Li, Xiang, et al.
Publicado: (2025)
PathWeaver: A High-Throughput Multi-GPU System for Graph-Based Approximate Nearest Neighbor Search
por: Kim, Sukjin, et al.
Publicado: (2025)
por: Kim, Sukjin, et al.
Publicado: (2025)
λScale: Enabling Fast Scaling for Serverless Large Language Model Inference
por: Yu, Minchen, et al.
Publicado: (2025)
por: Yu, Minchen, et al.
Publicado: (2025)
AnchorTP: Resilient LLM Inference with State-Preserving Elastic Tensor Parallelism
por: Xu, Wendong, et al.
Publicado: (2025)
por: Xu, Wendong, et al.
Publicado: (2025)
FlashFuser: Expanding the Scale of Kernel Fusion for Compute-Intensive Operators via Inter-Core Connection
por: Huang, Ziyu, et al.
Publicado: (2025)
por: Huang, Ziyu, et al.
Publicado: (2025)
Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs
por: Ekelund, Jonah, et al.
Publicado: (2025)
por: Ekelund, Jonah, et al.
Publicado: (2025)
Towards Fast Setup and High Throughput of GPU Serverless Computing
por: Zhao, Han, et al.
Publicado: (2024)
por: Zhao, Han, et al.
Publicado: (2024)
High-Performance N-Queens Solver on GPU: Iterative DFS with Zero Bank Conflicts
por: Yao, Guangchao, et al.
Publicado: (2025)
por: Yao, Guangchao, et al.
Publicado: (2025)
AB-Sparse: Sparse Attention with Adaptive Block Size for Accurate and Efficient Long-Context Inference
por: Liu, Di, et al.
Publicado: (2026)
por: Liu, Di, et al.
Publicado: (2026)
Efficient Routing of Inference Requests across LLM Instances in Cloud-Edge Computing
por: Yu, Shibo, et al.
Publicado: (2025)
por: Yu, Shibo, et al.
Publicado: (2025)
Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel
por: Song, Jaeyoung, et al.
Publicado: (2024)
por: Song, Jaeyoung, et al.
Publicado: (2024)
AdaBridge: Dynamic Data and Computation Reuse for Efficient Multi-task DNN Co-evolution in Edge Systems
por: Wang, Lehao, et al.
Publicado: (2024)
por: Wang, Lehao, et al.
Publicado: (2024)
MERBIT: A GPU-Based SpMV Method for Iterative Workloads
por: Zhang, Qi, et al.
Publicado: (2026)
por: Zhang, Qi, et al.
Publicado: (2026)
Mangrove: Fast and Parallelizable State Replication for Blockchains
por: Paramonov, Anton, et al.
Publicado: (2025)
por: Paramonov, Anton, et al.
Publicado: (2025)
LLM-CoOpt: A Co-Design and Optimization Framework for Efficient LLM Inference on Heterogeneous Platforms
por: Kong, Jie, et al.
Publicado: (2026)
por: Kong, Jie, et al.
Publicado: (2026)
Making Serverless Computing Extensible: A Case Study of Serverless Data Analytics
por: Yu, Minchen, et al.
Publicado: (2025)
por: Yu, Minchen, et al.
Publicado: (2025)
EACO-RAG: Towards Distributed Tiered LLM Deployment using Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update
por: Li, Jiaxing, et al.
Publicado: (2024)
por: Li, Jiaxing, et al.
Publicado: (2024)
FFTrainer: Fast Failover in Large-Language Model Training with Almost-Free State Management
por: Zhao, Bohan, et al.
Publicado: (2025)
por: Zhao, Bohan, et al.
Publicado: (2025)
Lagom: Unleashing the Power of Communication and Computation Overlapping for Distributed LLM Training
por: Xu, Guanbin, et al.
Publicado: (2026)
por: Xu, Guanbin, et al.
Publicado: (2026)
Efficient Local-to-Global Collaborative Perception via Joint Communication and Computation Optimization
por: Zhang, Hui, et al.
Publicado: (2026)
por: Zhang, Hui, et al.
Publicado: (2026)
Ejemplares similares
-
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism
por: Ai, Xin, et al.
Publicado: (2024) -
AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments
por: Chen, Kefu, et al.
Publicado: (2026) -
Incremental GNN Embedding Computation on Streaming Graphs
por: Wang, Qiange, et al.
Publicado: (2026) -
Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search
por: Li, Zhonggen, et al.
Publicado: (2025) -
SOLANET: Distributed Neighbor Graph Construction on GPU-Accelerated Systems
por: Iwabuchi, Keita, et al.
Publicado: (2026)