High-Performance Computing

DOI: 10.1007/978-3-540-77704-5_16

|View full text |Cite

|

Sign up to set email alerts

|

Cross-Line — A Globally Adaptive Control Method of Interconnection Network

¹

,

Masashi Nishitani

²

,

Kanemitsu Ootsu

³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Routing Algorithms1

Citation Types

Supporting

0

Mentioning

1

Contrasting

0

Publication Types

Select...

Other2

Article1

Relationship

Self Cite2

Independent1

Authors

Journals

Cited by 3 publications

(1 citation statement)

References 4 publications

Supporting

0

Mentioning

1

Contrasting

0

Order By: Relevance

“…Cross-Line (cl) incorporates an additional mechanism that can collect congestion information in each traveling direction [7,6]. Congestion information is transfered between neighboring routers only when no packet is sent, thus, there is no impact on the network performance.…”

Section: Routing Algorithmsmentioning

confidence: 99%

Are Uniform Nerworks Scalable?

¹

,

²

,

³

2008

2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies

Self Cite

View full text Add to dashboard Cite

Parallel computers essentially employ interconnection networks. Huge-scale systems require appropriate networks that can correspond to their required performance. This paper addresses a scalability issue of uniform interconnection networks. We first propose an evaluation method suitable to large-scale networks, define critical load ratio as a common measure, and introduce introduce ramp-, step-, and impulseresponses. Our evaluation results reveal some new knowledge on large-scale networks: (1) performance is scalable from macro-scopic viewpoint, (2) largescale network is sensitive to congestion and sometimes complex behaviors emerge.

“…Cross-Line (cl) incorporates an additional mechanism that can collect congestion information in each traveling direction [7,6]. Congestion information is transfered between neighboring routers only when no packet is sent, thus, there is no impact on the network performance.…”

Section: Routing Algorithmsmentioning

confidence: 99%

Are Uniform Nerworks Scalable?

¹

,

²

,

³

2008

2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies

Self Cite

View full text Add to dashboard Cite

Parallel computers essentially employ interconnection networks. Huge-scale systems require appropriate networks that can correspond to their required performance. This paper addresses a scalability issue of uniform interconnection networks. We first propose an evaluation method suitable to large-scale networks, define critical load ratio as a common measure, and introduce introduce ramp-, step-, and impulseresponses. Our evaluation results reveal some new knowledge on large-scale networks: (1) performance is scalable from macro-scopic viewpoint, (2) largescale network is sensitive to congestion and sometimes complex behaviors emerge.

An Effective Throttling Method Based on Quasi-global Congestion Information

¹

,

²

,

³

2009

2009 10th International Symposium on Pervasive Systems, Algorithms, and Networks

View full text Add to dashboard Cite

No abstract

A Quantitative Evaluation Methodology of Interconnection Networks

¹

,

²

,

³

2009

IPSJ Online Transactions

Self Cite

View full text Add to dashboard Cite

This paper addresses the quantitative evaluation methodology of interconnection networks. In the conventional evaluation method, performance curves are drawn by a series of simulation runs, and network methods are discussed by comparing the shape of performance curves. We present the Ramp Load Method that does not require repetitive simulation runs and produces continuous performance curves. Based on the continuous curves, we give a formal definition of critical load ratio. Furthermore, we introduce a feature quantity to represent both throughput and average latency, and propose a new measure called Network Performance Measure. Through detailed evaluation and some application examples, the effectiveness of the proposed evaluation methodology is confirmed.

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Product

Browser Extension Assistant by scite Citation Statement Search Reference Check Visualizations Dashboards Explore Journals Explore Organizations Explore Funders Embedding Badge Embedding Citation Search Pricing

Resources

Blog Help & FAQ Accessibility Statement API Terms For Universities & Governments For Researchers For Publishers For Corporate, Pharma & Enterprise Author Marketing Become an Affiliate Get an organization trial or quote scite Data & Services

About

News & Press Careers Read our Paper Coverage

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Copyright © 2025 scite LLC. All rights reserved.

Made with 💙 for researchers

Part of the Research Solutions Family.