DPoP

Research query: DPoP · jobs: 1 · on-topic sources: 4 · review: Held

Overview

Additionally, a large number of cycle-cut nodes and the iterative nature of MB-DPOP further exacerbate the pathology. — RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inference (2020)

We compare MB-DPOP with ADOPT [Modi et al., 2005], the current state of the art in distributed search with bounded memory. — MB-DPOP: a new memory-bounded algorithm for distributed optimization (2007)

DPOP is an algorithm for distributed constraint optimization which has, as main drawback, the exponential size of some of its messages. — Improving DPOP with function filtering (2010)

PC-DPOP is also a hybrid that centralizes parts of the problem. — PC-DPOP: A Partial Centralization Extension of DPOP (2006)

How to apply

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Deep look

Scholarship

RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inference (2020)

As a result, MB-DPOP could suffer from huge coordination overheads and cannot scale up well. (new this job) — source

Additionally, a large number of cycle-cut nodes and the iterative nature of MB-DPOP further exacerbate the pathology. (new this job) — source

Therefore, we present RMB-DPOP which incorporates several novel mechanisms to reduce redundant inferences and improve the scalability of MB-DPOP. (new this job) — source

Improving DPOP with function filtering (2010)

DPOP is an algorithm for distributed constraint optimization which has, as main drawback, the exponential size of some of its messages. (new this job) — source

In this paper, we explain the relation between DPOP and these algorithms, and show how cost function filtering can be combined with DPOP. (new this job) — source

PC-DPOP: A Partial Centralization Extension of DPOP (2006)

This work introduces PC-DPOP, a new extension of DPOP. (new this job) — source

Overall, the number of messages is linear as with DPOP. (new this job) — source

PC-DPOP is also a hybrid that centralizes parts of the problem. (new this job) — source

MB-DPOP: a new memory-bounded algorithm for distributed optimization (2007)

We present MB-DPOP, a new hybrid algorithm that can operate with bounded memory. (new this job) — source

In areas of low width, MB-DPOP operates like standard DPOP (linear number of messages). (new this job) — source

We compare MB-DPOP with ADOPT [Modi et al., 2005], the current state of the art in distributed search with bounded memory. (new this job) — source

Review

Status Held. Verified claims 11. On-topic sources 4 (reused 0). Dropped 4 collector hit(s) and 0 off-topic local claim(s). Conflicts 0. Coverage: dpop.

Provenance

Sealed job 872985865656826c60f51f561091c5ef. Shards: scholar.openalex, encyclopedia.wikipedia. Dropped 4 off-topic collector hit(s) and 0 off-topic local claim(s). Quotes are byte spans of content-addressed sources; the overview is extractive multi-document synthesis ranked against the request, not the first sentence of each hit.