Parallel Auto-Scheduling of Counting Queries in Machine Learning Applications on HPC Systems

Pawel Bratek; Lukasz Szustak; Jaroslaw Zola

doi:10.1007/978-3-031-48803-0_12

Parallel Auto-Scheduling of Counting Queries in Machine Learning Applications on HPC Systems

Pawel Bratek
, Lukasz Szustak
, Jaroslaw Zola

Department of Computer Science and Engineering

Częstochowa University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

We introduce a parallel mechanism for auto-scheduling data access queries in machine learning applications. Our solution combines the advantages of three individual strategies to reduce the time of query stream execution. Using bayesian network learning as a use case, we achieve several times speedup compared to the best possible strategy on two different computing servers.

Original language	English
Title of host publication	Euro-Par 2023
Subtitle of host publication	Parallel Processing Workshops - Euro-Par 2023 International Workshops, 2023, Revised Selected Papers
Editors	Demetris Zeinalipour, Dora Blanco Heras, George Pallis, Herodotos Herodotou, Demetris Trihinas, Daniel Balouek, Patrick Diehl, Terry Cojean, Karl Fürlinger, Maja Hanne Kirkeby, Matteo Nardelli, Pierangelo Di Sanzo
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	327-333
Number of pages	7
ISBN (Print)	9783031488023
DOIs	https://doi.org/10.1007/978-3-031-48803-0_12
State	Published - 2024
Event	International workshops held at the 29th International Conference on Parallel and Distributed Computing, Euro-Par 2023 - Limassol, Cyprus Duration: Aug 28 2023 → Sep 1 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14352 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International workshops held at the 29th International Conference on Parallel and Distributed Computing, Euro-Par 2023
Country/Territory	Cyprus
City	Limassol
Period	08/28/23 → 09/1/23

Access to Document

10.1007/978-3-031-48803-0_12

Cite this

Bratek, P., Szustak, L., & Zola, J. (2024). Parallel Auto-Scheduling of Counting Queries in Machine Learning Applications on HPC Systems. In D. Zeinalipour, D. Blanco Heras, G. Pallis, H. Herodotou, D. Trihinas, D. Balouek, P. Diehl, T. Cojean, K. Fürlinger, M. H. Kirkeby, M. Nardelli, & P. Di Sanzo (Eds.), Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, 2023, Revised Selected Papers (pp. 327-333). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14352 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-48803-0_12

Bratek, Pawel ; Szustak, Lukasz ; Zola, Jaroslaw. / Parallel Auto-Scheduling of Counting Queries in Machine Learning Applications on HPC Systems. Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, 2023, Revised Selected Papers. editor / Demetris Zeinalipour ; Dora Blanco Heras ; George Pallis ; Herodotos Herodotou ; Demetris Trihinas ; Daniel Balouek ; Patrick Diehl ; Terry Cojean ; Karl Fürlinger ; Maja Hanne Kirkeby ; Matteo Nardelli ; Pierangelo Di Sanzo. Springer Science and Business Media Deutschland GmbH, 2024. pp. 327-333 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{47ca1a39277c4ba08eef4390d605a463,

title = "Parallel Auto-Scheduling of Counting Queries in Machine Learning Applications on HPC Systems",

abstract = "We introduce a parallel mechanism for auto-scheduling data access queries in machine learning applications. Our solution combines the advantages of three individual strategies to reduce the time of query stream execution. Using bayesian network learning as a use case, we achieve several times speedup compared to the best possible strategy on two different computing servers.",

author = "Pawel Bratek and Lukasz Szustak and Jaroslaw Zola",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; International workshops held at the 29th International Conference on Parallel and Distributed Computing, Euro-Par 2023 ; Conference date: 28-08-2023 Through 01-09-2023",

year = "2024",

doi = "10.1007/978-3-031-48803-0\_12",

language = "English",

isbn = "9783031488023",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "327--333",

editor = "Demetris Zeinalipour and \{Blanco Heras\}, Dora and George Pallis and Herodotos Herodotou and Demetris Trihinas and Daniel Balouek and Patrick Diehl and Terry Cojean and Karl F{\"u}rlinger and Kirkeby, \{Maja Hanne\} and Matteo Nardelli and \{Di Sanzo\}, Pierangelo",

booktitle = "Euro-Par 2023",

address = "Germany",

}

Bratek, P, Szustak, L & Zola, J 2024, Parallel Auto-Scheduling of Counting Queries in Machine Learning Applications on HPC Systems. in D Zeinalipour, D Blanco Heras, G Pallis, H Herodotou, D Trihinas, D Balouek, P Diehl, T Cojean, K Fürlinger, MH Kirkeby, M Nardelli & P Di Sanzo (eds), Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, 2023, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14352 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 327-333, International workshops held at the 29th International Conference on Parallel and Distributed Computing, Euro-Par 2023, Limassol, Cyprus, 08/28/23. https://doi.org/10.1007/978-3-031-48803-0_12

Parallel Auto-Scheduling of Counting Queries in Machine Learning Applications on HPC Systems. / Bratek, Pawel; Szustak, Lukasz; Zola, Jaroslaw.
Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, 2023, Revised Selected Papers. ed. / Demetris Zeinalipour; Dora Blanco Heras; George Pallis; Herodotos Herodotou; Demetris Trihinas; Daniel Balouek; Patrick Diehl; Terry Cojean; Karl Fürlinger; Maja Hanne Kirkeby; Matteo Nardelli; Pierangelo Di Sanzo. Springer Science and Business Media Deutschland GmbH, 2024. p. 327-333 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14352 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Parallel Auto-Scheduling of Counting Queries in Machine Learning Applications on HPC Systems

AU - Bratek, Pawel

AU - Szustak, Lukasz

AU - Zola, Jaroslaw

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - We introduce a parallel mechanism for auto-scheduling data access queries in machine learning applications. Our solution combines the advantages of three individual strategies to reduce the time of query stream execution. Using bayesian network learning as a use case, we achieve several times speedup compared to the best possible strategy on two different computing servers.

AB - We introduce a parallel mechanism for auto-scheduling data access queries in machine learning applications. Our solution combines the advantages of three individual strategies to reduce the time of query stream execution. Using bayesian network learning as a use case, we achieve several times speedup compared to the best possible strategy on two different computing servers.

UR - https://www.scopus.com/pages/publications/85190962835

U2 - 10.1007/978-3-031-48803-0_12

DO - 10.1007/978-3-031-48803-0_12

M3 - Conference contribution

AN - SCOPUS:85190962835

SN - 9783031488023

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 327

EP - 333

BT - Euro-Par 2023

A2 - Zeinalipour, Demetris

A2 - Blanco Heras, Dora

A2 - Pallis, George

A2 - Herodotou, Herodotos

A2 - Trihinas, Demetris

A2 - Balouek, Daniel

A2 - Diehl, Patrick

A2 - Cojean, Terry

A2 - Fürlinger, Karl

A2 - Kirkeby, Maja Hanne

A2 - Nardelli, Matteo

A2 - Di Sanzo, Pierangelo

PB - Springer Science and Business Media Deutschland GmbH

T2 - International workshops held at the 29th International Conference on Parallel and Distributed Computing, Euro-Par 2023

Y2 - 28 August 2023 through 1 September 2023

ER -

Bratek P, Szustak L, Zola J. Parallel Auto-Scheduling of Counting Queries in Machine Learning Applications on HPC Systems. In Zeinalipour D, Blanco Heras D, Pallis G, Herodotou H, Trihinas D, Balouek D, Diehl P, Cojean T, Fürlinger K, Kirkeby MH, Nardelli M, Di Sanzo P, editors, Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, 2023, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2024. p. 327-333. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-48803-0_12