Cover Image

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Zhonggen, Ke, Xiangyu, Zhu, Yifan, Gao, Yunjun, Li, Feifei
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores
by: Li, Zhonggen, et al.
Published: (2024)

Accelerating Biclique Counting on GPU
by: Qiu, Linshan, et al.
Published: (2024)

Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search
by: Li, Zhonggen, et al.
Published: (2025)

AGILE: Lightweight and Efficient Asynchronous GPU-SSD Integration
by: Yang, Zhuoping, et al.
Published: (2025)

GPU-Accelerated Batch-Dynamic Subgraph Matching
by: Qiu, Linshan, 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)

TURNIP: A "Nondeterministic" GPU Runtime with CPU RAM Offload
by: Ding, Zhimin, et al.
Published: (2024)

WindVE: Collaborative CPU-NPU Vector Embedding
by: Huang, Jinqi, et al.
Published: (2025)

Combining GPU and CPU for accelerating evolutionary computing workloads
by: Eynaliyev, Rustam, et al.
Published: (2025)

A Unified CPU-GPU Protocol for GNN Training
by: Lin, Yi-Chien, et al.
Published: (2024)

Harnessing Integrated CPU-GPU System Memory for HPC: a first look into Grace Hopper
by: Schieffer, Gabin, et al.
Published: (2024)

HybridGen: Efficient LLM Generative Inference via CPU-GPU Hybrid Computing
by: Lin, Mao, et al.
Published: (2026)

APEX: Asynchronous Parallel CPU-GPU Execution for Online LLM Inference on Constrained GPUs
by: Fan, Jiakun, et al.
Published: (2025)

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)

SiPipe: Bridging the CPU-GPU Utilization Gap for Efficient Pipeline-Parallel LLM Inference
by: He, Yongchao, et al.
Published: (2025)

Towards Affordable, Adaptive and Automatic GNN Training on CPU-GPU Heterogeneous Platforms
by: Qiao, Tong, et al.
Published: (2025)

Taming GPU Underutilization via Static Partitioning and Fine-grained CPU Offloading
by: Schieffer, Gabin, et al.
Published: (2026)

A Study of Performance Programming of CPU, GPU accelerated Computers and SIMD Architecture
by: Yi, Xinyao
Published: (2024)

Co-Design and Evaluation of a CPU-Free MPI GPU Communication Abstraction and Implementation
by: Bridges, Patrick G., et al.
Published: (2026)

Serving Hybrid LLM Loads with SLO Guarantees Using CPU-GPU Attention Piggybacking
by: Mo, Zizhao, et al.
Published: (2026)

ZEUS: An Efficient GPU Optimization Method Integrating PSO, BFGS, and Automatic Differentiation
by: Soos, Dominik, et al.
Published: (2026)

Heimdall++: Optimizing GPU Utilization and Pipeline Parallelism for Efficient Single-Pulse Detection
by: Xia, Bingzheng, et al.
Published: (2025)

HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference
by: Zhong, Shuzhang, et al.
Published: (2025)

Cost-Performance Analysis: A Comparative Study of CPU-Based Serverless and GPU-Based Training Architectures
by: Barrak, Amine, et al.
Published: (2025)

MemAscend: System Memory Optimization for SSD-Offloaded LLM Fine-Tuning
by: Liaw, Yong-Cheng, et al.
Published: (2025)

Efficient Accelerated Graph Edit Distance Computation on GPU
by: Dabah, Adel, et al.
Published: (2026)

GRNND: A GPU-Parallel Relative NN-Descent Algorithm for Efficient Approximate Nearest Neighbor Graph Construction
by: Li, Xiang, et al.
Published: (2025)

HeteroSTA: A CPU-GPU Heterogeneous Static Timing Analysis Engine with Holistic Industrial Design Support
by: Guo, Zizheng, et al.
Published: (2025)

Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning
by: Saba, Issa, et al.
Published: (2024)

ParvaGPU: Efficient Spatial GPU Sharing for Large-Scale DNN Inference in Cloud Environments
by: Lee, Munkyu, et al.
Published: (2024)

Justin: Hybrid CPU/Memory Elastic Scaling for Distributed Stream Processing
by: Schmitz, Donatien, et al.
Published: (2025)

DIMS: Distributed Index for Similarity Search in Metric Spaces
by: Zhu, Yifan, et al.
Published: (2024)

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs
by: Wahlgren, Jacob, et al.
Published: (2025)

FastGraph: Optimized GPU-Enabled Algorithms for Fast Graph Building and Message Passing
by: Agarwal, Aarush, et al.
Published: (2025)

NAVIS: Concurrent Search and Update with Low Position-Seeking Overhead in On-SSD Graph-Based Vector Search
by: Song, Jaeyong, et al.
Published: (2026)

Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters
by: Zhang, WenZheng, et al.
Published: (2024)

Efficient Column-Wise N:M Pruning on RISC-V CPU
by: Chu, Chi-Wei, et al.
Published: (2025)

Characterizing CPU-Induced Slowdowns in Multi-GPU LLM Inference
by: Chung, Euijun, et al.
Published: (2026)

City-Scale Visibility Graph Analysis via GPU-Accelerated HyperBall
by: Hodge, Alex, et al.
Published: (2026)

MMStencil: Optimizing High-order Stencils on Multicore CPU using Matrix Unit
by: Wang, Yinuo, et al.
Published: (2025)