Paolo Bientinesi

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 87

Top Venues

CoRR

ACM Trans. Math. Softw.

Appl. Math. Comput.

ISC

Publications

Aravind Sankaran, Lars Karlsson, Paolo Bientinesi
Ranking with Ties based on Noisy Performance Data. CoRR (2024)
Yanxiang Chen, Pablo de Oliveira Castro, Paolo Bientinesi, Roman Iakymchuk
Enabling mixed-precision with the help of tools: A Nekbone case study. CoRR (2024)
Mickaël Zehren, Marco Alunno, Paolo Bientinesi
Analyzing and reducing the synthetic-to-real transfer gap in Music Information Retrieval: the task of automatic drum transcription. CoRR (2024)
Francisco López, Lars Karlsson, Paolo Bientinesi
The Essential Algorithms for the Matrix Chain. CoRR (2023)
Christos Psarras, Lars Karlsson, Rasmus Bro, Paolo Bientinesi
Algorithm 1026: Concurrent Alternating Least Squares for Multiple Simultaneous Canonical Polyadic Decompositions. ACM Trans. Math. Softw. 48 (3) (2022)
Christos Psarras, Henrik Barthels, Paolo Bientinesi
The Linear Algebra Mapping Problem. Current State of Linear Algebra Languages and Libraries. ACM Trans. Math. Softw. 48 (3) (2022)
Aravind Sankaran, Navid Akbari Alashti, Christos Psarras, Paolo Bientinesi
Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch. IPDPS Workshops (2022)
Mickaël Zehren, Marco Alunno, Paolo Bientinesi
Automatic Detection of Cue Points for the Emulation of DJ Mixing. Comput. Music. J. 46 (3) (2022)
Lorenzo Chelini, Henrik Barthels, Paolo Bientinesi, Marcin Copik, Tobias Grosser, Daniele G. Spampinato
MOM: Matrix Operations in MLIR. CoRR (2022)
Aravind Sankaran, Paolo Bientinesi
A Test for FLOPs as a Discriminant for Linear Algebra Algorithms. SBAC-PAD (2022)
Aravind Sankaran, Paolo Bientinesi
A Test for FLOPs as a Discriminant for Linear Algebra Algorithms. CoRR (2022)
Aravind Sankaran, Navid Akbari Alashti, Christos Psarras, Paolo Bientinesi
Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch. CoRR (2022)
Edoardo Di Napoli, Paolo Bientinesi, Jiajia Li, André Uschmajew
Editorial: High-performance tensor computations in scientific computing and data science. Frontiers Appl. Math. Stat. 8 (2022)
Paolo Bientinesi, David A. Ham, Furong Huang, Paul H. J. Kelly, P. Sadayappan, Edward Stow
Tensor Computations: Applications and Optimization (Dagstuhl Seminar 22101). Dagstuhl Reports 12 (3) (2022)
Christos Psarras, Lars Karlsson, Rasmus Bro, Paolo Bientinesi
Accelerating Jackknife Resampling for the Canonical Polyadic Decomposition. Frontiers Appl. Math. Stat. 8 (2022)
Francisco López, Lars Karlsson, Paolo Bientinesi
FLOPs as a Discriminant for Dense Linear Algebra Algorithms. CoRR (2022)
Marcin Copik, Tobias Grosser, Torsten Hoefler, Paolo Bientinesi, Benjamin Berkels
Work-Stealing Prefix Scan: Addressing Load Imbalance in Large-Scale Image Registration. IEEE Trans. Parallel Distributed Syst. 33 (3) (2022)
Francisco López, Lars Karlsson, Paolo Bientinesi
FLOPs as a Discriminant for Dense Linear Algebra Algorithms. ICPP (2022)
Mickaël Zehren, Marco Alunno, Paolo Bientinesi
ADTOF: A large dataset of non-synthetic music for automatic drum transcription. ISMIR (2021)
Mickaël Zehren, Marco Alunno, Paolo Bientinesi
ADTOF: A large dataset of non-synthetic music for automatic drum transcription. CoRR (2021)
Henrik Barthels, Christos Psarras, Paolo Bientinesi
Linnea: Automatic Generation of Efficient Linear Algebra Programs. ACM Trans. Math. Softw. 47 (3) (2021)
Konrad Kollnig, Paolo Bientinesi, Edoardo Di Napoli
Rational Spectral Filters with Optimal Convergence Rate. SIAM J. Sci. Comput. 43 (4) (2021)
Christos Psarras, Lars Karlsson, Rasmus Bro, Paolo Bientinesi
Accelerating jackknife resampling for the Canonical Polyadic Decomposition. CoRR (2021)
Aravind Sankaran, Paolo Bientinesi
Performance Comparison for Scientific Computations on the Edge via Relative Performance. IPDPS Workshops (2021)
Aravind Sankaran, Paolo Bientinesi
Performance Comparison for Scientific Computations on the Edge via Relative Performance. CoRR (2021)
Christos Psarras, Lars Karlsson, Paolo Bientinesi
The landscape of software for tensor computations. CoRR (2021)
Jure Vreca, Karl J. X. Sturm, Ernest Gungl, Farhad Merchant, Paolo Bientinesi, Rainer Leupers, Zmago Brezocnik
Accelerating Deep Learning Inference in Constrained Embedded Devices Using Hardware Loops and a Dot Product Unit. IEEE Access 8 (2020)
Henrik Barthels, Christos Psarras, Paolo Bientinesi
Automatic Generation of Efficient Linear Algebra Programs. PASC (2020)
Aravind Sankaran, Paolo Bientinesi
Robust Ranking of Linear Algebra Algorithms via Relative Performance. CoRR (2020)
Mickaël Zehren, Marco Alunno, Paolo Bientinesi
Automatic Detection of Cue Points for DJ Mixing. CoRR (2020)
Paolo Bientinesi, David A. Ham, Furong Huang, Paul H. J. Kelly, Christian Lengauer, Saday Sadayappan
Tensor Computations: Applications and Optimization (Dagstuhl Seminar 20111). Dagstuhl Reports 10 (3) (2020)
Marcin Copik, Tobias Grosser, Torsten Hoefler, Paolo Bientinesi, Benjamin Berkels
Work-stealing prefix scan: Addressing load imbalance in large-scale image registration. CoRR (2020)
Konrad Kollnig, Paolo Bientinesi, Edoardo Di Napoli
Rational spectral filters with optimal convergence rate. CoRR (2020)
Christos Psarras, Lars Karlsson, Paolo Bientinesi
Concurrent Alternating Least Squares for multiple simultaneous Canonical Polyadic Decompositions. CoRR (2020)
Christos Psarras, Henrik Barthels, Paolo Bientinesi
The Linear Algebra Mapping Problem. CoRR (2019)
Henrik Barthels, Christos Psarras, Paolo Bientinesi
Linnea: Automatic Generation of Efficient Linear Algebra Programs. CoRR (2019)
Paul Springer, Devin Matthews, Paolo Bientinesi
Spin Summations: A High-Performance Perspective. ACM Trans. Math. Softw. 45 (1) (2019)
William McDoniel, Paolo Bientinesi
A Timer-Augmented Cost Function for Load Balanced DSMC. CoRR (2019)
Henrik Barthels, Christos Psarras, Paolo Bientinesi
Automatic Generation of Efficient Linear Algebra Programs. CoRR (2019)
Daniele G. Spampinato, Diego Fabregat-Traver, Markus Püschel, Paolo Bientinesi
Program Generation for Linear Algebra Using Multiple Layers of DSLs. CoRR (2019)
Elmar Peise, Paolo Bientinesi
The ELAPS framework: Experimental Linear Algebra Performance Studies. Int. J. High Perform. Comput. Appl. 33 (2) (2019)
Markus Höhnerbach, Paolo Bientinesi
Accelerating AIREBO: Navigating the Journey from Legacy to High-Performance Code. J. Comput. Chem. 40 (14) (2019)
Henrik Barthels, Marcin Copik, Paolo Bientinesi
The Generalized Matrix Chain Algorithm. CoRR (2018)
Daniele G. Spampinato, Diego Fabregat-Traver, Paolo Bientinesi, Markus Püschel
Program Generation for Small-Scale Linear Algebra Applications. CoRR (2018)
Diego Fabregat-Traver, Ahmed E. Ismail, Paolo Bientinesi
Accelerating molecular dynamics codes by performance and accuracy modeling. J. Comput. Sci. 27 (2018)
Tina Raissi, Alessandro Tibo, Paolo Bientinesi
Extended Pipeline for Content-Based Feature Engineering in Music Genre Recognition. ICASSP (2018)
William McDoniel, Paolo Bientinesi
A Timer-Augmented Cost Function for Load Balanced DSMC. VECPAR (2018)
Paul Springer, Paolo Bientinesi
Design of a High-Performance GEMM-like Tensor-Tensor Multiplication. ACM Trans. Math. Softw. 44 (3) (2018)
Markus Höhnerbach, Paolo Bientinesi
Optimizing AIREBO: Navigating the Journey from Complex Legacy Code to High Performance. CoRR (2018)
Daniele G. Spampinato, Diego Fabregat-Traver, Paolo Bientinesi, Markus Püschel
Program generation for small-scale linear algebra applications. CGO (2018)
Henrik Barthels, Marcin Copik, Paolo Bientinesi
The generalized matrix chain algorithm. CGO (2018)
Tina Raissi, Alessandro Tibo, Paolo Bientinesi
Extended pipeline for content-based feature engineering in music genre recognition. CoRR (2018)
Ali Tarzan, Marco Alunno, Paolo Bientinesi
Assessment of sound spatialisation algorithms for sonic rendering with headsets. CoRR (2017)
Paul Springer, Jeff R. Hammond, Paolo Bientinesi
TTC: A High-Performance Compiler for Tensor Transpositions. ACM Trans. Math. Softw. 44 (2) (2017)
Paul Springer, Tong Su, Paolo Bientinesi
HPTT: a high-performance tensor transposition C++ library. ARRAY@PLDI (2017)
William McDoniel, Markus Höhnerbach, Rodrigo Canales, Ahmed E. Ismail, Paolo Bientinesi
LAMMPS' PPPM Long-Range Solver for the Second Generation Xeon Phi. CoRR (2017)
William McDoniel, Markus Höhnerbach, Rodrigo Canales, Ahmed E. Ismail, Paolo Bientinesi
LAMMPS' PPPM Long-Range Solver for the Second Generation Xeon Phi. ISC (2017)
Edoardo Di Napoli, Elmar Peise, Markus Hrywniak, Paolo Bientinesi
High-performance generation of the Hamiltonian and Overlap matrices in FLAPW methods. Comput. Phys. Commun. 211 (2017)
Markus Höhnerbach, Ahmed E. Ismail, Paolo Bientinesi
The Tersoff many-body potential: Sustainable performance through vectorization. CoRR (2017)
Paul Springer, Ahmed E. Ismail, Paolo Bientinesi
A Scalable, Linear-Time Dynamic Cutoff Algorithm for Molecular Dynamics. CoRR (2017)
Manuel Krebber, Henrik Barthels, Paolo Bientinesi
Efficient Pattern Matching in Python. PyHPC@SC (2017)
Manuel Krebber, Henrik Barthels, Paolo Bientinesi
Efficient Pattern Matching in Python. CoRR (2017)
Manuel Krebber, Henrik Bartels, Paolo Bientinesi
MatchPy: A Pattern Matching Library. SciPy (2017)
Manuel Krebber, Henrik Barthels, Paolo Bientinesi
MatchPy: A Pattern Matching Library. CoRR (2017)
Henrik Barthels, Paolo Bientinesi
Linnea: Compiling Linear Algebra Expressions to High-Performance Code. PASCO@ISSAC (2017)
Paul Springer, Devin Matthews, Paolo Bientinesi
Spin Summations: A High-Performance Perspective. CoRR (2017)
Paul Springer, Tong Su, Paolo Bientinesi
HPTT: A High-Performance Tensor Transposition C++ Library. CoRR (2017)
Elmar Peise, Paolo Bientinesi
Algorithm 979: Recursive Algorithms for Dense Linear Algebra - The ReLAPACK Collection. ACM Trans. Math. Softw. 44 (2) (2017)
Paul Springer, Jeff R. Hammond, Paolo Bientinesi
TTC: A high-performance Compiler for Tensor Transpositions. CoRR (2016)
Diego Fabregat-Traver, Ahmed E. Ismail, Paolo Bientinesi
Accelerating scientific codes by performance and accuracy modeling. CoRR (2016)
Rodrigo Canales, Elmar Peise, Paolo Bientinesi
Large Scale Parallel Computations in R through Elemental. CoRR (2016)
Henrik Barthels, Paolo Bientinesi
The Matrix Chain Algorithm to Compile Linear Algebra Expressions. CoRR (2016)
Alvaro Frank, Diego Fabregat-Traver, Paolo Bientinesi
Large-scale linear regression: Development of high-performance routines. Appl. Math. Comput. 275 (2016)
Daniel Tameling, Paolo Bientinesi, Ahmed E. Ismail
A Note on Time Measurements in LAMMPS. CoRR (2016)
Markus Höhnerbach, Ahmed E. Ismail, Paolo Bientinesi
The Vectorization of the Tersoff Multi-Body Potential: An Exercise in Performance Portability. CoRR (2016)
Edoardo Di Napoli, Elmar Peise, Markus Hrywniak, Paolo Bientinesi
High-performance generation of the Hamiltonian and Overlap matrices in FLAPW methods. CoRR (2016)
Markus Höhnerbach, Ahmed E. Ismail, Paolo Bientinesi
The vectorization of the tersoff multi-body potential: an exercise in performance portability. SC (2016)
Paul Springer, Aravind Sankaran, Paolo Bientinesi
TTC: A Tensor Transposition Compiler for Multiple Architectures. CoRR (2016)
Paul Springer, Paolo Bientinesi
Design of a high-performance GEMM-like Tensor-Tensor Multiplication. CoRR (2016)
Elmar Peise, Paolo Bientinesi
Recursive Algorithms for Dense Linear Algebra: The ReLAPACK Collection. CoRR (2016)
Paul Springer, Aravind Sankaran, Paolo Bientinesi
TTC: a tensor transposition compiler for multiple architectures. ARRAY@PLDI (2016)
Paul Springer, Ahmed E. Ismail, Paolo Bientinesi
A Scalable, Linear-Time Dynamic Cutoff Algorithm for Molecular Dynamics. ISC (2015)
Zoltán Endre Rákossy, Dominik Stengele, Axel Acosta-Aponte, Saumitra Chafekar, Paolo Bientinesi, Anupam Chattopadhyay
Scalable and Efficient Linear Algebra Kernel Mapping for Low Energy Consumption on the Layers CGRA. ARC (2015)
Paolo Bientinesi, José R. Herrero, Enrique S. Quintana-Ortí, Robert Strzodka
Parallel computing on graphics processing units and heterogeneous platforms. Concurr. Comput. Pract. Exp. 27 (6) (2015)
Elmar Peise, Paolo Bientinesi
The ELAPS Framework: Experimental Linear Algebra Performance Studies. CoRR (2015)
Alvaro Frank, Diego Fabregat-Traver, Paolo Bientinesi
Large-scale linear regression: Development of high-performance routines. CoRR (2015)
Elmar Peise, Diego Fabregat-Traver, Paolo Bientinesi
High performance solutions for big-data GWAS. Parallel Comput. 42 (2015)
Diego Fabregat-Traver, Paolo Bientinesi
Automatic Generation of Loop-Invariants for Matrix Operations. CoRR (2014)
Edoardo Di Napoli, Diego Fabregat-Traver, Gregorio Quintana-Ortí, Paolo Bientinesi
Towards an efficient use of the BLAS library for multilinear tensor contractions. Appl. Math. Comput. 235 (2014)
Matthias Petschow, Enrique S. Quintana-Ortí, Paolo Bientinesi
Improved Accuracy and Parallelism for MRRR-Based Eigensolvers - A Mixed Precision Approach. SIAM J. Sci. Comput. 36 (2) (2014)
Diego Fabregat-Traver, Paolo Bientinesi
Computing Petaflops over Terabytes of Data: The Case of Genome-Wide Association Studies. ACM Trans. Math. Softw. 40 (4) (2014)
Elmar Peise, Diego Fabregat-Traver, Paolo Bientinesi
On the Performance Prediction of BLAS-based Tensor Contractions. CoRR (2014)
Elmar Peise, Diego Fabregat-Traver, Paolo Bientinesi
On the Performance Prediction of BLAS-based Tensor Contractions. PMBS@SC (2014)
Diego Fabregat-Traver, Paolo Bientinesi
Knowledge-Based Automatic Generation of Partitioned Matrix Expressions. CoRR (2014)
Elmar Peise, Diego Fabregat-Traver, Paolo Bientinesi
High Performance Solutions for Big-data GWAS. CoRR (2014)
Elmar Peise, Paolo Bientinesi
Cache-aware Performance Modeling and Prediction for Dense Linear Algebra. CoRR (2014)
Elmar Peise, Paolo Bientinesi
A Study on the Influence of Caching: Sequences of Dense Linear Algebra Kernels. CoRR (2014)
Diego Fabregat-Traver, Yurii S. Aulchenko, Paolo Bientinesi
Solving sequences of generalized least-squares problems on multi-threaded architectures. Appl. Math. Comput. 234 (2014)
Elmar Peise, Paolo Bientinesi
A Study on the Influence of Caching: Sequences of Dense Linear Algebra Kernels. VECPAR (2014)
Matthias Petschow, Elmar Peise, Paolo Bientinesi
High-Performance Solvers for Dense Hermitian Eigenproblems. SIAM J. Sci. Comput. 35 (1) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paolo Bientinesi