Paolo Bientinesi

Paolo Bientinesi

Umeå universitet

H-index: 24

Europe-Sweden

About Paolo Bientinesi

Paolo Bientinesi, With an exceptional h-index of 24 and a recent h-index of 14 (since 2020), a distinguished researcher at Umeå universitet, specializes in the field of High-Performance Computing, Automation, Numerical Linear Algebra.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mathematical Software

High-quality and reproducible automatic drum transcription from crowdsourced data

The Essential Algorithms for the Matrix Chain

Algorithm 1026: Concurrent Alternating Least Squares for Multiple Simultaneous Canonical Polyadic Decompositions

Accelerating jackknife resampling for the Canonical Polyadic Decomposition

A Test for FLOPs as a Discriminant for Linear Algebra Algorithms

Automatic Detection of Cue Points for the Emulation of DJ Mixing

Mickaël Zehren, Marco Alunno, and

Paolo Bientinesi Information

University

Position

___

Citations(all)

2455

Citations(since 2020)

773

Cited By

2098

hIndex(all)

24

hIndex(since 2020)

14

i10Index(all)

58

i10Index(since 2020)

28

Email

University Profile Page

Umeå universitet

Google Scholar

View Google Scholar Profile

Paolo Bientinesi Skills & Research Interests

High-Performance Computing

Automation

Numerical Linear Algebra

Top articles of Paolo Bientinesi

Title

Journal

Author(s)

Publication Date

Mathematical Software

ACM Transactions on

Zhaojun Bai

Wolfgang Bangerth

Paolo Bientinesi

Tim Hopkins

Salvatore Filippone

...

2023

High-quality and reproducible automatic drum transcription from crowdsourced data

Signals

Mickaël Zehren

Marco Alunno

Paolo Bientinesi

2023/11/10

The Essential Algorithms for the Matrix Chain

arXiv preprint arXiv:2303.17352

Francisco López

Lars Karlsson

Paolo Bientinesi

2023/3/30

Algorithm 1026: Concurrent Alternating Least Squares for Multiple Simultaneous Canonical Polyadic Decompositions

ACM Transactions on Mathematical Software (TOMS)

Christos Psarras

Lars Karlsson

Rasmus Bro

Paolo Bientinesi

2022/9/10

Accelerating jackknife resampling for the Canonical Polyadic Decomposition

Frontiers in Applied Mathematics and Statistics

Christos Psarras

Lars Karlsson

Rasmus Bro

Paolo Bientinesi

2022/4/12

A Test for FLOPs as a Discriminant for Linear Algebra Algorithms

Aravind Sankaran

Paolo Bientinesi

2022/11/2

Automatic Detection of Cue Points for the Emulation of DJ Mixing

Computer music journal

Mickaël Zehren

Marco Alunno

Paolo Bientinesi

2022/9/1

Mickaël Zehren, Marco Alunno, and

Computer music journal

Paolo Bientinesi

2022

Tensor Computations: Applications and Optimization

Paolo Bientinesi

David Ham

Furong Huang

Paul HJ Kelly

P Saday Sadayappan

...

2022/11

Flops as a discriminant for dense linear algebra algorithms

Francisco López

Lars Karlsson

Paolo Bientinesi

2022/8/29

4.9 Simulation of the Sycamore quantum circuits with tensor networks

Tensor Computations: Applications and Optimization

Paolo Bientinesi

2022/11

MOM: Matrix Operations in MLIR

arXiv preprint arXiv:2208.10391

Lorenzo Chelini

Henrik Barthels

Paolo Bientinesi

Marcin Copik

Tobias Grosser

...

2022/8/22

High-performance tensor computations in scientific computing and data science

Frontiers in Applied Mathematics and Statistics

Edoardo Di Napoli

Paolo Bientinesi

Jiajia Li

André Uschmajew

2022/9/23

The Linear Algebra Mapping Problem. Current State of Linear Algebra Languages and Libraries

ACM Transactions on Mathematical Software (TOMS)

Christos Psarras

Henrik Barthels

Paolo Bientinesi

2022/9/10

Benchmarking the linear algebra awareness of tensorflow and pytorch

Aravind Sankaran

Navid Akbari Alashti

Christos Psarras

Paolo Bientinesi

2022/5/30

Linnea: Automatic generation of efficient linear algebra programs

ACM Transactions on Mathematical Software (TOMS)

Henrik Barthels

Christos Psarras

Paolo Bientinesi

2021/6/26

Performance comparison for scientific computations on the edge via relative performance

Aravind Sankaran

Paolo Bientinesi

2021/6/17

The landscape of software for tensor computations

arXiv preprint arXiv:2103.13756

Christos Psarras

Lars Karlsson

Jiajia Li

Paolo Bientinesi

2021/3/25

ADTOF: A large dataset of non-synthetic music for automatic drum transcription

arXiv preprint arXiv:2111.11737

Mickaël Zehren

Marco Alunno

Paolo Bientinesi

2021/11/23

Robust ranking of equivalent algorithms via relative performance

arXiv preprint arXiv:2010.07226

Aravind Sankaran

Paolo Bientinesi

2021

See List of Professors in Paolo Bientinesi University(Umeå universitet)

Co-Authors

H-index: 96
Yurii Aulchenko

Yurii Aulchenko

Novosibirsk State University

H-index: 44
Enrique S. Quintana-Ortí

Enrique S. Quintana-Ortí

Universidad Politécnica de València

H-index: 39
Daniel Kressner

Daniel Kressner

École Polytechnique Fédérale de Lausanne

H-index: 25
Ahmed E. Ismail

Ahmed E. Ismail

West Virginia University

H-index: 23
Francisco D. Igual

Francisco D. Igual

Universidad Complutense de Madrid

H-index: 22
Brian Gunter

Brian Gunter

Georgia Institute of Technology

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