On Solving Problems of Substantially Super-linear Complexity in $N^{o(1)}$ Rounds in the MPC Model

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Lingas, Andrzej
Format: Preprint
Veröffentlicht: 2026
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866917461090107392
author Lingas, Andrzej
author_facet Lingas, Andrzej
contents We study the possibility of designing $N^{o(1)}$-round protocols for problems of substantially super-linear polynomial-time (sequential) complexity in the model of Massively Parallel Computation, where $N$ is the input size. We show that if the machines are not equipped with relatively large local memory and their number does not exceed $N$, then the exponent of the average time complexity of the local computation performed by a machine in a round (in terms of local memory size) in such protocols must be larger than the exponent of the time complexity of the given problem.
format Preprint
id arxiv_https___arxiv_org_abs_2605_03376
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle On Solving Problems of Substantially Super-linear Complexity in $N^{o(1)}$ Rounds in the MPC Model
Lingas, Andrzej
Distributed, Parallel, and Cluster Computing
Computational Complexity
Data Structures and Algorithms
F.2.2
F.2.2
We study the possibility of designing $N^{o(1)}$-round protocols for problems of substantially super-linear polynomial-time (sequential) complexity in the model of Massively Parallel Computation, where $N$ is the input size. We show that if the machines are not equipped with relatively large local memory and their number does not exceed $N$, then the exponent of the average time complexity of the local computation performed by a machine in a round (in terms of local memory size) in such protocols must be larger than the exponent of the time complexity of the given problem.
title On Solving Problems of Substantially Super-linear Complexity in $N^{o(1)}$ Rounds in the MPC Model
topic Distributed, Parallel, and Cluster Computing
Computational Complexity
Data Structures and Algorithms
F.2.2
F.2.2
url https://arxiv.org/abs/2605.03376