:: Library Catalog

Saved in:

Bibliographic Details
Main Author:	Wenning, Sophie
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	https://arxiv.org/abs/2511.13727
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tight Bounds for Constant-Round Domination on Graphs of High Girth and Low Expansion
by: Lenzen, Christoph, et al.
Published: (2024)

Clock Distribution with Gradient TRIX
by: Lenzen, Christoph, et al.
Published: (2023)

Gradient Clock Synchronization with Practically Constant Local Skew
by: Lenzen, Christoph
Published: (2025)

Robust Synchronisation for Federated Learning in The Face of Correlated Device Failure
by: Behfar, Stefan, et al.
Published: (2026)

Tracing Distributed Algorithms Using Replay Clocks
by: Lagwankar, Ishaan
Published: (2024)

Lamport's Arrow of Time: The Category Mistake in Logical Clocks
by: Borrill, Paul
Published: (2026)

Vectorization of Gradient Boosting of Decision Trees Prediction in the CatBoost Library for RISC-V Processors
by: Kozinov, Evgeny, et al.
Published: (2024)

Building a Verifiable Logical Clock for P2P Networks
by: Sun, Guangda, et al.
Published: (2024)

Contention Resolution, With and Without a Global Clock
by: Cai, Zixi, et al.
Published: (2026)

Specifying and Verifying RDMA Synchronisation (Extended Version)
by: Ambal, Guillaume, et al.
Published: (2026)

Clock2Q+: A Simple and Efficient Replacement Algorithm for Metadata Cache in VMware vSAN
by: Zhai, Yiyan, et al.
Published: (2025)

On the performance of two-sided MPI, MPI-3 RMA and SHMEM in a Lagrangian particle cluster algorithm
by: Frey, Matthias, et al.
Published: (2024)

Cooperative Gradient Coding
by: Weng, Shudi, et al.
Published: (2025)

A Review on Message Complexity of the Algorithms for Clock Synchronization in Distributed Systems
by: Dissanayake, Chandeepa, et al.
Published: (2024)

Biased Compression in Gradient Coding for Distributed Learning
by: Li, Chengxi, et al.
Published: (2026)

Asynch-SGBDT: Asynchronous Parallel Stochastic Gradient Boosting Decision Tree based on Parameters Server
by: Daning, Cheng, et al.
Published: (2018)

PipeBoost: Resilient Pipelined Architecture for Fast Serverless LLM Scaling
by: Liu, Chongpeng, et al.
Published: (2025)

Boosting LLM Serving through Spatial-Temporal GPU Resource Sharing
by: Lin, Zejia, et al.
Published: (2025)

Boosting Blockchain Throughput: Parallel EVM Execution with Asynchronous Storage for Reddio
by: Qi, Xiaodong, et al.
Published: (2025)

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs
by: Ekelund, Jonah, et al.
Published: (2025)

Runtime-optimized Multi-way Stream Join Operator for Large-scale Streaming data
by: Hu, Jinlong, et al.
Published: (2024)

FailSafe: High-performance Resilient Serving
by: Xu, Ziyi, et al.
Published: (2025)

SP-Chain: Boosting Intra-Shard and Cross-Shard Security and Performance in Blockchain Sharding
by: Li, Mingzhe, et al.
Published: (2024)

Checkmate: Zero-Overhead Model Checkpointing via Network Gradient Replication
by: Bhardwaj, Ankit, et al.
Published: (2025)

Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction
by: Zhang, Chuanting, et al.
Published: (2025)

Effective implementation of the High Performance Conjugate Gradient benchmark on GraphBLAS
by: Scolari, Alberto, et al.
Published: (2023)

Communication-Efficient Distributed Learning via Sparse and Adaptive Stochastic Gradient
by: Deng, Xiaoge, et al.
Published: (2021)

Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration
by: Wu, Shixun, et al.
Published: (2025)

HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration
by: Chen, Weijian, et al.
Published: (2024)

Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management
by: Liang, Yipeng, et al.
Published: (2025)

Age-Aware Partial Gradient Update Strategy for Federated Learning Over the Air
by: Du, Ruihao, et al.
Published: (2025)

LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent
by: Hu, Kan, et al.
Published: (2024)

The workflow motif: a widely-useful performance diagnosis abstraction for distributed applications
by: Abdi, Mania, et al.
Published: (2025)

ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments
by: Jiang, Youhe, et al.
Published: (2025)

FIRED: a fine-grained robust performance diagnosis framework for cloud applications
by: Xin, Ruyue, et al.
Published: (2022)

High-performance Vector-length Agnostic Quantum Circuit Simulations on ARM Processors
by: Shi, Ruimin, et al.
Published: (2026)

HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs
by: Li, Yanliang, et al.
Published: (2025)

VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference
by: Liu, Zihan, et al.
Published: (2025)

Trace-based, time-resolved analysis of MPI application performance using standard metrics
by: Haldar, Kingshuk
Published: (2025)

Determinacy with Priorities up to Clocks
by: Liquori, Luigi, et al.
Published: (2026)