Image de couverture de livre

pdGRASS: A Fast Parallel Density-Aware Algorithm for Graph Spectral Sparsification

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhao, Tiancheng, Yin, Zekun, An, Huihai, Yang, Xiaoyu, Jin, Zhou, Shen, Jiasi, Xu, Helen
Format:	Preprint
Publié:	2025
Sujets:	Distributed, Parallel, and Cluster Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FastGraph: Optimized GPU-Enabled Algorithms for Fast Graph Building and Message Passing
par: Agarwal, Aarush, et autres
Publié: (2025)

HAP: Hybrid Adaptive Parallelism for Efficient Mixture-of-Experts Inference
par: Lin, Haoran, et autres
Publié: (2025)

FastSet: Parallel Claim Settlement
par: Chen, Xiaohong, et autres
Publié: (2025)

CaPGNN: Optimizing Parallel Graph Neural Network Training with Joint Caching and Resource-Aware Graph Partitioning
par: Song, Xianfeng, et autres
Publié: (2025)

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism
par: Wei, Jinhui, et autres
Publié: (2025)

Shoal++: High Throughput DAG BFT Can Be Fast!
par: Arun, Balaji, et autres
Publié: (2024)

Resource-Aware Aggregation and Sparsification in Heterogeneous Ensemble Federated Learning
par: Ryum, Keumseo, et autres
Publié: (2025)

GRNND: A GPU-Parallel Relative NN-Descent Algorithm for Efficient Approximate Nearest Neighbor Graph Construction
par: Li, Xiang, et autres
Publié: (2025)

ZeroPP: Unleashing Exceptional Parallelism Efficiency through Tensor-Parallelism-Free Methodology
par: Tang, Ding, et autres
Publié: (2024)

Zeppelin: Balancing Variable-length Workloads in Data Parallel Large Model Training
par: Chen, Chang, et autres
Publié: (2025)

SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving
par: Zhou, Qihui, et autres
Publié: (2025)

Deferred Objects to Enhance Smart Contract Programming with Optimistic Parallel Execution
par: Mitenkov, George, et autres
Publié: (2024)

Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning
par: Zhou, Wenxuan, et autres
Publié: (2024)

A Survey of Distributed Graph Algorithms on Massive Graphs
par: Meng, Lingkai, et autres
Publié: (2024)

Parallel Spawning Strategies for Dynamic-Aware MPI Applications
par: Martín-Álvarez, Iker, et autres
Publié: (2025)

Utilizing Graph Sparsification for Pre-processing in Maxcut QUBO Solver
par: Suppakitpaisarn, Vorapong, et autres
Publié: (2024)

High-Performance Parallelization of Dijkstra's Algorithm Using MPI and CUDA
par: Song, Boyang
Publié: (2025)

Fast Iterative Graph Computing with Updated Neighbor States
par: Zhou, Yijie, et autres
Publié: (2024)

Parallel Order-Based Core Maintenance in Dynamic Graphs
par: Guo, Bin, et autres
Publié: (2022)

cuFastTuckerPlus: A Stochastic Parallel Sparse FastTucker Decomposition Using GPU Tensor Cores
par: Li, Zixuan, et autres
Publié: (2024)

Amoeba: Runtime Tensor Parallel Transformation for LLM Inference Services
par: Chen, Haoyu, et autres
Publié: (2025)

MixServe: An Automatic Distributed Serving System for MoE Models with Hybrid Parallelism Based on Fused Communication Algorithm
par: Zhou, Bowen, et autres
Publié: (2026)

Edge-Parallel Graph Encoder Embedding
par: Lubonja, Ariel, et autres
Publié: (2024)

FPTC: A Fast Parallel Transform-based Codec for Efficient Asymmetric Signal Compression
par: Mechels, Ben, et autres
Publié: (2026)

Efficient Task Graph Scheduling for Parallel QR Factorization in SLSQP
par: Chatterjee, Soumyajit, et autres
Publié: (2025)

Distributed And Parallel Low-Diameter Decompositions for Arbitrary and Restricted Graphs
par: Dou, Jinfeng, et autres
Publié: (2024)

Faster Parallel Triangular Maximally Filtered Graphs and Hierarchical Clustering
par: Raphael, Steven, et autres
Publié: (2024)

Fast and Space-Efficient Parallel Algorithms for Influence Maximization
par: Wang, Letong, et autres
Publié: (2023)

Comparative Analysis of Distributed Caching Algorithms: Performance Metrics and Implementation Considerations
par: Mayer, Helen, et autres
Publié: (2025)

ElasWave: An Elastic-Native System for Scalable Hybrid-Parallel Training
par: Kang, Xueze, et autres
Publié: (2025)

Parallel GPU-Enabled Algorithms for SpGEMM on Arbitrary Semirings with Hybrid Communication
par: McFarland, Thomas, et autres
Publié: (2025)

Faster Vertex Cover Algorithms on GPUs with Component-Aware Parallel Branching
par: Amro, Hussein, et autres
Publié: (2025)

A Parallel and Distributed Rust Library for Core Decomposition on Large Graphs
par: Rucci, Davide, et autres
Publié: (2025)

Scene-Aware Latency Estimation for Microservices via Multi-Scale Graph Fusion
par: Sun, Zhichao, et autres
Publié: (2026)

APEX: An Extensible and Dynamism-Aware Simulator for Automated Parallel Execution in LLM Serving
par: Lin, Yi-Chien, et autres
Publié: (2024)

Parallel Track Transformers: Enabling Fast GPU Inference with Reduced Synchronization
par: Wang, Chong, et autres
Publié: (2026)

How Fast Can Graph Computations Go on Fine-grained Parallel Architectures
par: Wang, Yuqing, et autres
Publié: (2025)

Parameterized Task Graph Scheduling Algorithm for Comparing Algorithmic Components
par: Coleman, Jared, et autres
Publié: (2024)

Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication
par: Ranawaka, Isuru, et autres
Publié: (2024)

FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving
par: Gao, Shouwei, et autres
Publié: (2026)