We report the results of a yearlong effort to port the WebGraph framework [4] from Java to Rust. For two decades WebGraph has been instrumental in the analysis and distribution of large graphs for the research community of TheWebConf, but the intrinsic limitations of the Java Virtual Machine had become a bottleneck for very large use cases, such as the Software Heritage Merkle graph [2] with its half a trillion arcs. As part of this clean-slate implementation of WebGraph in Rust, we developed a few ancillary projects bringing to the Rust ecosystem some missing features of independent interest, such as easy, consistent and zero-cost memory mapping of data structures. WebGraph in Rust offers impressive performance improvements over the previous implementation, enabling open-source graph analytics on very large datasets on top of a modern systems programming language.

WebGraph: The Next Generation (Is in Rust) / T. Fontana, S. Vigna, S. Zacchiroli - In: WWW '24: Companion / [a cura di] T.-S. Chua, C.-W. Ngo. - [s.l] : ACM, 2024 May 13. - ISBN 979-8-4007-0172-6. - pp. 686-689 (( Intervento presentato al 33. convegno ACM Web Conference tenutosi a Singapore nel 2024 [10.1145/3589335.3651581].

WebGraph: The Next Generation (Is in Rust)

S. Vigna
Secondo
;
2024

Abstract

We report the results of a yearlong effort to port the WebGraph framework [4] from Java to Rust. For two decades WebGraph has been instrumental in the analysis and distribution of large graphs for the research community of TheWebConf, but the intrinsic limitations of the Java Virtual Machine had become a bottleneck for very large use cases, such as the Software Heritage Merkle graph [2] with its half a trillion arcs. As part of this clean-slate implementation of WebGraph in Rust, we developed a few ancillary projects bringing to the Rust ecosystem some missing features of independent interest, such as easy, consistent and zero-cost memory mapping of data structures. WebGraph in Rust offers impressive performance improvements over the previous implementation, enabling open-source graph analytics on very large datasets on top of a modern systems programming language.
No
English
big data; compression; graphs; Java; Rust; social networks; web graphs
Settore INFO-01/A - Informatica
Intervento a convegno
Esperti anonimi
Ricerca applicata
Pubblicazione scientifica
   SEcurity and RIghts in the CyberSpace (SERICS)
   SERICS
   MINISTERO DELL'UNIVERSITA' E DELLA RICERCA
   codice identificativo PE00000014
WWW '24: Companion
T.-S. Chua, C.-W. Ngo
ACM
13-mag-2024
686
689
4
979-8-4007-0172-6
Volume a diffusione internazionale
Gold
ACM Web Conference
Singapore
2024
33
ACM SIGWEB
Convegno internazionale
Intervento inviato
crossref
Aderisco
T. Fontana, S. Vigna, S. Zacchiroli
Book Part (author)
open
273
WebGraph: The Next Generation (Is in Rust) / T. Fontana, S. Vigna, S. Zacchiroli - In: WWW '24: Companion / [a cura di] T.-S. Chua, C.-W. Ngo. - [s.l] : ACM, 2024 May 13. - ISBN 979-8-4007-0172-6. - pp. 686-689 (( Intervento presentato al 33. convegno ACM Web Conference tenutosi a Singapore nel 2024 [10.1145/3589335.3651581].
info:eu-repo/semantics/bookPart
3
Prodotti della ricerca::03 - Contributo in volume
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1131196
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