Cover Image

Efficient Distributed Algorithms for Shape Reduction via Reconfigurable Circuits

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Almalki, Nada, Gupta, Siddharth, Michail, Othon, Padalkin, Andreas
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

On the Shape Containment Problem within the Amoebot Model with Reconfigurable Circuits
by: Artmann, Matthias, et al.
Published: (2025)

Polylogarithmic Time Algorithms for Shortest Path Forests in Programmable Matter
by: Padalkin, Andreas, et al.
Published: (2024)

Logarithmic-Time Geodesically Convex Decomposition in Programmable Matter
by: Hillebrandt, Henning, et al.
Published: (2026)

On the Power of Graphical Reconfigurable Circuits
by: Emek, Yuval, et al.
Published: (2024)

Energy Efficient Scheduling for Serverless Systems
by: Tsenos, Michail, et al.
Published: (2024)

Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging
by: Theologitis, Michail, et al.
Published: (2024)

Saarthi: An End-to-End Intelligent Platform for Optimising Distributed Serverless Workloads
by: Agarwal, Siddharth, et al.
Published: (2025)

Fully Lattice-Linear Algorithms
by: Gupta, Arya Tanmay, et al.
Published: (2022)

Tolerance to Asynchrony in Algorithms for Multiplication and Modulo
by: Gupta, Arya Tanmay, et al.
Published: (2023)

Distributed Algorithms for Potential Problems
by: Balliu, Alkida, et al.
Published: (2025)

Parameterized Verification of Round-based Distributed Algorithms via Extended Threshold Automata
by: Baumeister, Tom, et al.
Published: (2024)

Efficient Parallel Compilation and Profiling of Quantum Circuits at Large Scales
by: Moore, Jane, et al.
Published: (2026)

Distributed Genetic Algorithm for Feature Selection
by: Potter, Michael, et al.
Published: (2024)

Analysis of Distributed Algorithms for Big-data
by: Purohit, Rajendra, et al.
Published: (2024)

Tolerance to Asynchrony of an Algorithm for Gathering Myopic Robots on an Infinite Triangular Grid
by: Gupta, Arya Tanmay, et al.
Published: (2023)

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

Distributed Ranges: A Model for Distributed Data Structures, Algorithms, and Views
by: Brock, Benjamin, et al.
Published: (2024)

Fully-Distributed Construction of Byzantine-Resilient Dynamic Peer-to-Peer Networks
by: Gupta, Aayush, et al.
Published: (2025)

Orchestrating the Execution of Serverless Functions in Hybrid Clouds
by: Peri, Aristotelis, et al.
Published: (2024)

Prediction-driven resource provisioning for serverless container runtimes
by: Tomaras, Dimitrios, et al.
Published: (2024)

LiveR: Fine-Grained Elasticity via Live Reconfiguration for Model Training
by: Liu, Haoyuan, et al.
Published: (2026)

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

PruneX: A Hierarchical Communication-Efficient System for Distributed CNN Training with Structured Pruning
by: Olama, Alireza, et al.
Published: (2025)

Towards Reconfigurable Linearizable Reads
by: Thiessen, Myles, et al.
Published: (2024)

Reconfigurable Heterogeneous Quorum Systems
by: Li, Xiao, et al.
Published: (2023)

A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO
by: Svedas, Jonas, et al.
Published: (2025)

Evaluating Cross-Architecture Performance Modeling of Distributed ML Workloads Using StableHLO
by: Svedas, Jonas, et al.
Published: (2026)

Approximate Byzantine Fault-Tolerance in Distributed Optimization
by: Liu, Shuo, et al.
Published: (2021)

Survey on Token-Based Distributed MutualExclusion Algorithms
by: Tohidi, Elahe, et al.
Published: (2025)

A Survey of Distributed Graph Algorithms on Massive Graphs
by: Meng, Lingkai, et al.
Published: (2024)

Speedup of Distributed Algorithms for Power Graphs in the CONGEST Model
by: Barenboim, Leonid, et al.
Published: (2023)

A Seesaw Model Attack Algorithm for Distributed Learning
by: Yang, Kun, et al.
Published: (2024)

Efficient Multi-Worker Selection based Distributed Swarm Learning via Analog Aggregation
by: Yao, Zhuoyu, et al.
Published: (2025)

CondenseGraph: Communication-Efficient Distributed GNN Training via On-the-Fly Graph Condensation
by: Zhang, Zizhao, et al.
Published: (2026)

HuntMS: A Framework for Microservice Geo-Distribution for Carbon and Cost Reduction
by: Christofidi, Georgia, et al.
Published: (2026)

A Hybrid Reactive-Proactive Auto-scaling Algorithm for SLA-Constrained Edge Computing
by: Gupta, Suhrid, et al.
Published: (2025)

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

StarDist: A Code Generator for Distributed Graph Algorithms
by: Nandy, Barenya Kumar, et al.
Published: (2025)

An Initial Evaluation of Distributed Graph Algorithms using NWGraph and HPX
by: Mohammadiporshokooh, Karame, et al.
Published: (2026)

Analysis of Distributed Average Consensus Algorithms for Robust IoT networks
by: Dhuli, Sateeshkrishna, et al.
Published: (2021)