Paolo Bientinesi

161 papers A 4B 3C 4Misc 3Journal 119Unranked 26
YearRankTypeTitle / Venue / Authors
2026 A conf
Compilation of Generalized Matrix Chains with Symbolic Sizes.
CGO
Francisco López, Lars Karlsson, Paolo Bientinesi
2026 J jnl
Enabling mixed-precision in spectral element codes.
Future Gener. Comput. Syst.
Yanxiang Chen, Pablo de Oliveira Castro, Paolo Bientinesi, Niclas Jansson, Roman Iakymchuk
2026 J jnl
Report on the second Toulouse Tensor Workshop.
CoRR
Jan Brandejs, Trond Saue, André Severo Pereira Gomes, Lucas Visscher, Paolo Bientinesi
2026 J jnl
Tensor Algebra Processing Primitives (TAPP): Towards a Standard for Tensor Operations.
CoRR
Jan Brandejs, Niklas Hörnblad, Edward F. Valeev, Alexander Heinecke, Jeff R. Hammond, Devin Matthews, Paolo Bientinesi
2026 J jnl
The software landscape for the density matrix renormalization group.
Comput. Phys. Commun.
Per Sehlstedt, Jan Brandejs, Paolo Bientinesi, Lars Karlsson
2025 J jnl
Compilation of Generalized Matrix Chains with Symbolic Sizes.
CoRR
Francisco López, Lars Karlsson, Paolo Bientinesi
2025 J jnl
Enabling Mixed-Precision in Computational Fluids Dynamics Codes.
CoRR
Yanxiang Chen, Pablo de Oliveira Castro, Paolo Bientinesi, Niclas Jansson, Roman Iakymchuk
2025 J jnl
On the parenthesisations of matrix chains: All are useful, few are essential.
J. Comb. Optim.
Francisco López, Lars Karlsson, Paolo Bientinesi
2025 J jnl
Ranking with ties based on noisy performance data.
Int. J. Data Sci. Anal.
Aravind Sankaran, Lars Karlsson, Paolo Bientinesi
2025 J jnl
The Software Landscape for the Density Matrix Renormalization Group.
CoRR
Per Sehlstedt, Jan Brandejs, Paolo Bientinesi, Lars Karlsson
2024 J jnl
Analyzing and reducing the synthetic-to-real transfer gap in Music Information Retrieval: the task of automatic drum transcription.
CoRR
Mickaël Zehren, Marco Alunno, Paolo Bientinesi
2024 — conf
Enabling Mixed-Precision with the Help of Tools: A Nekbone Case Study.
PPAM (1)
Yanxiang Chen, Pablo de Oliveira Castro, Paolo Bientinesi, Roman Iakymchuk
2024 J jnl
Enabling mixed-precision with the help of tools: A Nekbone case study.
CoRR
Yanxiang Chen, Pablo de Oliveira Castro, Paolo Bientinesi, Roman Iakymchuk
2024 — conf
In-Depth Performance Analysis of the ADTOF-Based Algorithm for Automatic Drum Transcription.
ISMIR
Mickaël Zehren, Marco Alunno, Paolo Bientinesi
2024 — conf
Inspection of I/O Operations from System Call Traces using Directly-Follows-Graph.
SC Workshops
Aravind Sankaran, Ilya Zhukov, Wolfgang Frings, Paolo Bientinesi
2024 J jnl
Inspection of I/O Operations from System Call Traces using Directly-Follows-Graph.
CoRR
Aravind Sankaran, Ilya Zhukov, Wolfgang Frings, Paolo Bientinesi
2024 J jnl
Ranking with Ties based on Noisy Performance Data.
CoRR
Aravind Sankaran, Lars Karlsson, Paolo Bientinesi
2023 J jnl
The Essential Algorithms for the Matrix Chain.
CoRR
Francisco López, Lars Karlsson, Paolo Bientinesi
2022 C conf
A Test for FLOPs as a Discriminant for Linear Algebra Algorithms.
SBAC-PAD
Aravind Sankaran, Paolo Bientinesi
2022 J jnl
A Test for FLOPs as a Discriminant for Linear Algebra Algorithms.
CoRR
Aravind Sankaran, Paolo Bientinesi
2022 J jnl
Accelerating Jackknife Resampling for the Canonical Polyadic Decomposition.
Frontiers Appl. Math. Stat.
Christos Psarras, Lars Karlsson, Rasmus Bro, Paolo Bientinesi
2022 J jnl
Algorithm 1026: Concurrent Alternating Least Squares for Multiple Simultaneous Canonical Polyadic Decompositions.
ACM Trans. Math. Softw.
Christos Psarras, Lars Karlsson, Rasmus Bro, Paolo Bientinesi
2022 J jnl
Automatic Detection of Cue Points for the Emulation of DJ Mixing.
Comput. Music. J.
Mickaël Zehren, Marco Alunno, Paolo Bientinesi
2022 — conf
Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch.
IPDPS Workshops
Aravind Sankaran, Navid Akbari Alashti, Christos Psarras, Paolo Bientinesi
2022 J jnl
Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch.
CoRR
Aravind Sankaran, Navid Akbari Alashti, Christos Psarras, Paolo Bientinesi
2022 J jnl
Editorial: High-performance tensor computations in scientific computing and data science.
Frontiers Appl. Math. Stat.
Edoardo Di Napoli, Paolo Bientinesi, Jiajia Li, André Uschmajew
2022 B conf
FLOPs as a Discriminant for Dense Linear Algebra Algorithms.
ICPP
Francisco López, Lars Karlsson, Paolo Bientinesi
2022 J jnl
FLOPs as a Discriminant for Dense Linear Algebra Algorithms.
CoRR
Francisco López, Lars Karlsson, Paolo Bientinesi
2022 J jnl
MOM: Matrix Operations in MLIR.
CoRR
Lorenzo Chelini, Henrik Barthels, Paolo Bientinesi, Marcin Copik, Tobias Grosser, Daniele G. Spampinato
2022 J jnl
Tensor Computations: Applications and Optimization (Dagstuhl Seminar 22101).
Dagstuhl Reports
Paolo Bientinesi, David A. Ham, Furong Huang, Paul H. J. Kelly, P. Sadayappan, Edward Stow
2022 J jnl
The Linear Algebra Mapping Problem. Current State of Linear Algebra Languages and Libraries.
ACM Trans. Math. Softw.
Christos Psarras, Henrik Barthels, Paolo Bientinesi
2022 J jnl
Work-Stealing Prefix Scan: Addressing Load Imbalance in Large-Scale Image Registration.
IEEE Trans. Parallel Distributed Syst.
Marcin Copik, Tobias Grosser, Torsten Hoefler, Paolo Bientinesi, Benjamin Berkels
2021 — conf
ADTOF: A large dataset of non-synthetic music for automatic drum transcription.
ISMIR
Mickaël Zehren, Marco Alunno, Paolo Bientinesi
2021 J jnl
ADTOF: A large dataset of non-synthetic music for automatic drum transcription.
CoRR
Mickaël Zehren, Marco Alunno, Paolo Bientinesi
2021 J jnl
Accelerating jackknife resampling for the Canonical Polyadic Decomposition.
CoRR
Christos Psarras, Lars Karlsson, Rasmus Bro, Paolo Bientinesi
2021 J jnl
Linnea: Automatic Generation of Efficient Linear Algebra Programs.
ACM Trans. Math. Softw.
Henrik Barthels, Christos Psarras, Paolo Bientinesi
2021 — conf
Performance Comparison for Scientific Computations on the Edge via Relative Performance.
IPDPS Workshops
Aravind Sankaran, Paolo Bientinesi
2021 J jnl
Performance Comparison for Scientific Computations on the Edge via Relative Performance.
CoRR
Aravind Sankaran, Paolo Bientinesi
2021 J jnl
Rational Spectral Filters with Optimal Convergence Rate.
SIAM J. Sci. Comput.
Konrad Kollnig, Paolo Bientinesi, Edoardo Di Napoli
2021 J jnl
The landscape of software for tensor computations.
CoRR
Christos Psarras, Lars Karlsson, Paolo Bientinesi
2020 J jnl
Accelerating Deep Learning Inference in Constrained Embedded Devices Using Hardware Loops and a Dot Product Unit.
IEEE Access
Jure Vreca, Karl J. X. Sturm, Ernest Gungl, Farhad Merchant, Paolo Bientinesi, Rainer Leupers, Zmago Brezocnik
2020 J jnl
Automatic Detection of Cue Points for DJ Mixing.
CoRR
Mickaël Zehren, Marco Alunno, Paolo Bientinesi
2020 — conf
Automatic Generation of Efficient Linear Algebra Programs.
PASC
Henrik Barthels, Christos Psarras, Paolo Bientinesi
2020 J jnl
Concurrent Alternating Least Squares for multiple simultaneous Canonical Polyadic Decompositions.
CoRR
Christos Psarras, Lars Karlsson, Paolo Bientinesi
2020 J jnl
Rational spectral filters with optimal convergence rate.
CoRR
Konrad Kollnig, Paolo Bientinesi, Edoardo Di Napoli
2020 J jnl
Robust Ranking of Linear Algebra Algorithms via Relative Performance.
CoRR
Aravind Sankaran, Paolo Bientinesi
2020 J jnl
Tensor Computations: Applications and Optimization (Dagstuhl Seminar 20111).
Dagstuhl Reports
Paolo Bientinesi, David A. Ham, Furong Huang, Paul H. J. Kelly, Christian Lengauer, Saday Sadayappan
2020 J jnl
Work-stealing prefix scan: Addressing load imbalance in large-scale image registration.
CoRR
Marcin Copik, Tobias Grosser, Torsten Hoefler, Paolo Bientinesi, Benjamin Berkels
2019 J jnl
A Timer-Augmented Cost Function for Load Balanced DSMC.
CoRR
William McDoniel, Paolo Bientinesi
2019 J jnl
Accelerating AIREBO: Navigating the Journey from Legacy to High-Performance Code.
J. Comput. Chem.
Markus Höhnerbach, Paolo Bientinesi
2019 J jnl
Automatic Generation of Efficient Linear Algebra Programs.
CoRR
Henrik Barthels, Christos Psarras, Paolo Bientinesi
2019 J jnl
Linnea: Automatic Generation of Efficient Linear Algebra Programs.
CoRR
Henrik Barthels, Christos Psarras, Paolo Bientinesi
2019 J jnl
Program Generation for Linear Algebra Using Multiple Layers of DSLs.
CoRR
Daniele G. Spampinato, Diego Fabregat-Traver, Markus Püschel, Paolo Bientinesi
2019 J jnl
Spin Summations: A High-Performance Perspective.
ACM Trans. Math. Softw.
Paul Springer, Devin Matthews, Paolo Bientinesi
2019 J jnl
The ELAPS framework: Experimental Linear Algebra Performance Studies.
Int. J. High Perform. Comput. Appl.
Elmar Peise, Paolo Bientinesi
2019 J jnl
The Linear Algebra Mapping Problem.
CoRR
Christos Psarras, Henrik Barthels, Paolo Bientinesi
2018 — conf
A Timer-Augmented Cost Function for Load Balanced DSMC.
VECPAR
William McDoniel, Paolo Bientinesi
2018 J jnl
Accelerating molecular dynamics codes by performance and accuracy modeling.
J. Comput. Sci.
Diego Fabregat-Traver, Ahmed E. Ismail, Paolo Bientinesi
2018 J jnl
Design of a High-Performance GEMM-like Tensor-Tensor Multiplication.
ACM Trans. Math. Softw.
Paul Springer, Paolo Bientinesi
2018 Misc conf
Extended Pipeline for Content-Based Feature Engineering in Music Genre Recognition.
ICASSP
Tina Raissi, Alessandro Tibo, Paolo Bientinesi
2018 J jnl
Extended pipeline for content-based feature engineering in music genre recognition.
CoRR
Tina Raissi, Alessandro Tibo, Paolo Bientinesi
2018 J jnl
Optimizing AIREBO: Navigating the Journey from Complex Legacy Code to High Performance.
CoRR
Markus Höhnerbach, Paolo Bientinesi
2018 J jnl
Program Generation for Small-Scale Linear Algebra Applications.
CoRR
Daniele G. Spampinato, Diego Fabregat-Traver, Paolo Bientinesi, Markus Püschel
2018 A conf
Program generation for small-scale linear algebra applications.
CGO
Daniele G. Spampinato, Diego Fabregat-Traver, Paolo Bientinesi, Markus Püschel
2018 J jnl
The Generalized Matrix Chain Algorithm.
CoRR
Henrik Barthels, Marcin Copik, Paolo Bientinesi
2018 A conf
The generalized matrix chain algorithm.
CGO
Henrik Barthels, Marcin Copik, Paolo Bientinesi
2017 J jnl
A Scalable, Linear-Time Dynamic Cutoff Algorithm for Molecular Dynamics.
CoRR
Paul Springer, Ahmed E. Ismail, Paolo Bientinesi
2017 J jnl
Algorithm 979: Recursive Algorithms for Dense Linear Algebra - The ReLAPACK Collection.
ACM Trans. Math. Softw.
Elmar Peise, Paolo Bientinesi
2017 J jnl
Assessment of sound spatialisation algorithms for sonic rendering with headsets.
CoRR
Ali Tarzan, Marco Alunno, Paolo Bientinesi
2017 — conf
Efficient Pattern Matching in Python.
PyHPC@SC
Manuel Krebber, Henrik Barthels, Paolo Bientinesi
2017 J jnl
Efficient Pattern Matching in Python.
CoRR
Manuel Krebber, Henrik Barthels, Paolo Bientinesi
2017 J jnl
HPTT: A High-Performance Tensor Transposition C++ Library.
CoRR
Paul Springer, Tong Su, Paolo Bientinesi
2017 — conf
HPTT: a high-performance tensor transposition C++ library.
ARRAY@PLDI
Paul Springer, Tong Su, Paolo Bientinesi
2017 J jnl
High-performance generation of the Hamiltonian and Overlap matrices in FLAPW methods.
Comput. Phys. Commun.
Edoardo Di Napoli, Elmar Peise, Markus Hrywniak, Paolo Bientinesi
2017 C conf
LAMMPS' PPPM Long-Range Solver for the Second Generation Xeon Phi.
ISC
William McDoniel, Markus Höhnerbach, Rodrigo Canales, Ahmed E. Ismail, Paolo Bientinesi
2017 J jnl
LAMMPS' PPPM Long-Range Solver for the Second Generation Xeon Phi.
CoRR
William McDoniel, Markus Höhnerbach, Rodrigo Canales, Ahmed E. Ismail, Paolo Bientinesi
2017 — conf
Linnea: Compiling Linear Algebra Expressions to High-Performance Code.
PASCO@ISSAC
Henrik Barthels, Paolo Bientinesi
2017 — conf
MatchPy: A Pattern Matching Library.
SciPy
Manuel Krebber, Henrik Barthels, Paolo Bientinesi
2017 J jnl
MatchPy: A Pattern Matching Library.
CoRR
Manuel Krebber, Henrik Barthels, Paolo Bientinesi
2017 J jnl
Spin Summations: A High-Performance Perspective.
CoRR
Paul Springer, Devin Matthews, Paolo Bientinesi
2017 J jnl
TTC: A High-Performance Compiler for Tensor Transpositions.
ACM Trans. Math. Softw.
Paul Springer, Jeff R. Hammond, Paolo Bientinesi
2017 J jnl
The Tersoff many-body potential: Sustainable performance through vectorization.
CoRR
Markus Höhnerbach, Ahmed E. Ismail, Paolo Bientinesi
2016 J jnl
A Note on Time Measurements in LAMMPS.
CoRR
Daniel Tameling, Paolo Bientinesi, Ahmed E. Ismail
2016 J jnl
Accelerating scientific codes by performance and accuracy modeling.
CoRR
Diego Fabregat-Traver, Ahmed E. Ismail, Paolo Bientinesi
2016 J jnl
Design of a high-performance GEMM-like Tensor-Tensor Multiplication.
CoRR
Paul Springer, Paolo Bientinesi
2016 J jnl
High-performance generation of the Hamiltonian and Overlap matrices in FLAPW methods.
CoRR
Edoardo Di Napoli, Elmar Peise, Markus Hrywniak, Paolo Bientinesi
2016 J jnl
Large Scale Parallel Computations in R through Elemental.
CoRR
Rodrigo Canales, Elmar Peise, Paolo Bientinesi
2016 J jnl
Large-scale linear regression: Development of high-performance routines.
Appl. Math. Comput.
Alvaro Frank, Diego Fabregat-Traver, Paolo Bientinesi
2016 J jnl
Recursive Algorithms for Dense Linear Algebra: The ReLAPACK Collection.
CoRR
Elmar Peise, Paolo Bientinesi
2016 J jnl
TTC: A Tensor Transposition Compiler for Multiple Architectures.
CoRR
Paul Springer, Aravind Sankaran, Paolo Bientinesi
2016 J jnl
TTC: A high-performance Compiler for Tensor Transpositions.
CoRR
Paul Springer, Jeff R. Hammond, Paolo Bientinesi
2016 — conf
TTC: a tensor transposition compiler for multiple architectures.
ARRAY@PLDI
Paul Springer, Aravind Sankaran, Paolo Bientinesi
2016 J jnl
The Matrix Chain Algorithm to Compile Linear Algebra Expressions.
CoRR
Henrik Barthels, Paolo Bientinesi
2016 J jnl
The Vectorization of the Tersoff Multi-Body Potential: An Exercise in Performance Portability.
CoRR
Markus Höhnerbach, Ahmed E. Ismail, Paolo Bientinesi
2016 A conf
The vectorization of the tersoff multi-body potential: an exercise in performance portability.
SC
Markus Höhnerbach, Ahmed E. Ismail, Paolo Bientinesi
2015 C conf
A Scalable, Linear-Time Dynamic Cutoff Algorithm for Molecular Dynamics.
ISC
Paul Springer, Ahmed E. Ismail, Paolo Bientinesi
2015 J jnl
High performance solutions for big-data GWAS.
Parallel Comput.
Elmar Peise, Diego Fabregat-Traver, Paolo Bientinesi
2015 J jnl
Large-scale linear regression: Development of high-performance routines.
CoRR
Alvaro Frank, Diego Fabregat-Traver, Paolo Bientinesi
2015 J jnl
Parallel computing on graphics processing units and heterogeneous platforms.
Concurr. Comput. Pract. Exp.
Paolo Bientinesi, José R. Herrero, Enrique S. Quintana-Ortí, Robert Strzodka
2015 — conf
Scalable and Efficient Linear Algebra Kernel Mapping for Low Energy Consumption on the Layers CGRA.
ARC
Zoltán Endre Rákossy, Dominik Stengele, Axel Acosta-Aponte, Saumitra Chafekar, Paolo Bientinesi, Anupam Chattopadhyay
2015 J jnl
The ELAPS Framework: Experimental Linear Algebra Performance Studies.
CoRR
Elmar Peise, Paolo Bientinesi
2014 — conf
A Study on the Influence of Caching: Sequences of Dense Linear Algebra Kernels.
VECPAR
Elmar Peise, Paolo Bientinesi
2014 J jnl
A Study on the Influence of Caching: Sequences of Dense Linear Algebra Kernels.
CoRR
Elmar Peise, Paolo Bientinesi
2014 J jnl
Automatic Generation of Loop-Invariants for Matrix Operations.
CoRR
Diego Fabregat-Traver, Paolo Bientinesi
2014 J jnl
Cache-aware Performance Modeling and Prediction for Dense Linear Algebra.
CoRR
Elmar Peise, Paolo Bientinesi
2014 J jnl
Computing Petaflops over Terabytes of Data: The Case of Genome-Wide Association Studies.
ACM Trans. Math. Softw.
Diego Fabregat-Traver, Paolo Bientinesi
2014 — ed.
Euro-Par 2013: Parallel Processing Workshops - BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013, Aachen, Germany, August 26-27, 2013. Revised Selected Papers
Euro-Par Workshops
Dieter an Mey, Michael Alexander, Paolo Bientinesi, Mario Cannataro, Carsten Clauss, Alexandru Costan, Gabor Kecskemeti, Christine Morin, Laura Ricci, Julio Sahuquillo, Martin Schulz, Vittorio Scarano, Stephen L. Scott, Josef Weidendorfer
2014 J jnl
High Performance Solutions for Big-data GWAS.
CoRR
Elmar Peise, Diego Fabregat-Traver, Paolo Bientinesi
2014 J jnl
Improved Accuracy and Parallelism for MRRR-Based Eigensolvers - A Mixed Precision Approach.
SIAM J. Sci. Comput.
Matthias Petschow, Enrique S. Quintana-Ortí, Paolo Bientinesi
2014 J jnl
Knowledge-Based Automatic Generation of Partitioned Matrix Expressions.
CoRR
Diego Fabregat-Traver, Paolo Bientinesi
2014 — conf
On the Performance Prediction of BLAS-based Tensor Contractions.
PMBS@SC
Elmar Peise, Diego Fabregat-Traver, Paolo Bientinesi
2014 J jnl
On the Performance Prediction of BLAS-based Tensor Contractions.
CoRR
Elmar Peise, Diego Fabregat-Traver, Paolo Bientinesi
2014 J jnl
Solving sequences of generalized least-squares problems on multi-threaded architectures.
Appl. Math. Comput.
Diego Fabregat-Traver, Yurii S. Aulchenko, Paolo Bientinesi
2014 J jnl
Towards an efficient use of the BLAS library for multilinear tensor contractions.
Appl. Math. Comput.
Edoardo Di Napoli, Diego Fabregat-Traver, Gregorio Quintana-Ortí, Paolo Bientinesi
2013 J jnl
Algorithms for Large-scale Whole Genome Association Analysis
CoRR
Elmar Peise, Diego Fabregat-Traver, Yurii S. Aulchenko, Paolo Bientinesi
2013 C conf
Algorithms for large-scale whole genome association analysis.
EuroMPI
Elmar Peise, Diego Fabregat-Traver, Yurii S. Aulchenko, Paolo Bientinesi
2013 J jnl
Application-tailored linear algebra algorithms: A search-based approach.
Int. J. High Perform. Comput. Appl.
Diego Fabregat-Traver, Paolo Bientinesi
2013 J jnl
Deriving dense linear algebra libraries.
Formal Aspects Comput.
Paolo Bientinesi, John A. Gunnels, Margaret E. Myers, Enrique S. Quintana-Ortí, Tyler Rhodes, Robert A. van de Geijn, Field G. Van Zee
2013 J jnl
Dissecting the FEAST algorithm for generalized eigenproblems.
J. Comput. Appl. Math.
Lukas Krämer, Edoardo Di Napoli, Martin Galgon, Bruno Lang, Paolo Bientinesi
2013 — conf
GWAS on GPUs: Streaming Data from HDD for Sustained Performance.
Euro-Par
Lucas Beyer, Paolo Bientinesi
2013 J jnl
High-Performance Solvers for Dense Hermitian Eigenproblems.
SIAM J. Sci. Comput.
Matthias Petschow, Elmar Peise, Paolo Bientinesi
2013 J jnl
Improved Accuracy and Parallelism for MRRR-based Eigensolvers -- A Mixed Precision Approach
CoRR
Matthias Petschow, Enrique S. Quintana-Ortí, Paolo Bientinesi
2013 J jnl
Streaming Data from HDD to GPUs for Sustained Peak Performance
CoRR
Lucas Beyer, Paolo Bientinesi
2013 J jnl
Towards an Efficient Use of the BLAS Library for Multilinear Tensor Contractions.
CoRR
Edoardo Di Napoli, Diego Fabregat-Traver, Gregorio Quintana-Ortí, Paolo Bientinesi
2012 J jnl
A Domain-Specific Compiler for Linear Algebra Operations
CoRR
Diego Fabregat-Traver, Paolo Bientinesi
2012 — conf
A Domain-Specific Compiler for Linear Algebra Operations.
VECPAR
Diego Fabregat-Traver, Paolo Bientinesi
2012 J jnl
Application-tailored Linear Algebra Algorithms: A search-based Approach
CoRR
Diego Fabregat-Traver, Paolo Bientinesi
2012 J jnl
Computing Petaflops over Terabytes of Data: The Case of Genome-Wide Association Studies
CoRR
Diego Fabregat-Traver, Paolo Bientinesi
2012 J jnl
Correlations in sequences of generalized eigenproblems arising in Density Functional Theory.
Comput. Phys. Commun.
Edoardo Di Napoli, Stefan Blügel, Paolo Bientinesi
2012 J jnl
Dissecting the FEAST algorithm for generalized Eigenproblems
CoRR
Lukas Krämer, Edoardo Di Napoli, Martin Galgon, Bruno Lang, Paolo Bientinesi
2012 J jnl
High-Performance Solvers for Dense Hermitian Eigenproblems
CoRR
Matthias Petschow, Elmar Peise, Paolo Bientinesi
2012 J jnl
High-throughput Genome-wide Association Analysis for Single and Multiple Phenotypes
CoRR
Diego Fabregat-Traver, Yurii S. Aulchenko, Paolo Bientinesi
2012 J jnl
Modeling performance through memory-stalls.
SIGMETRICS Perform. Evaluation Rev.
Roman Iakymchuk, Paolo Bientinesi
2012 J jnl
Performance Modeling for Dense Linear Algebra
CoRR
Elmar Peise, Paolo Bientinesi
2012 — conf
Performance Modeling for Dense Linear Algebra.
SC Companion
Elmar Peise, Paolo Bientinesi
2012 J jnl
Solving Sequences of Generalized Least-Squares Problems on Multi-threaded Architectures
CoRR
Diego Fabregat-Traver, Yurii S. Aulchenko, Paolo Bientinesi
2012 J jnl
Solving dense generalized eigenproblems on multi-threaded architectures.
Appl. Math. Comput.
José Ignacio Aliaga, Paolo Bientinesi, Davor Davidovic, Edoardo Di Napoli, Francisco D. Igual, Enrique S. Quintana-Ortí
2011 — conf
Automatic Generation of Loop-Invariants for Matrix Operations.
ICCSA Workshops
Diego Fabregat-Traver, Paolo Bientinesi
2011 J jnl
Condensed forms for the symmetric eigenvalue problem on multi-threaded architectures.
Concurr. Comput. Pract. Exp.
Paolo Bientinesi, Francisco D. Igual, Daniel Kressner, Matthias Petschow, Enrique S. Quintana-Ortí
2011 J jnl
Correlations in sequences of generalized eigenproblems arising in Density Functional Theory
CoRR
Edoardo Di Napoli, Stefan Blügel, Paolo Bientinesi
2011 J jnl
Goal-Oriented and Modular Stability Analysis.
SIAM J. Matrix Anal. Appl.
Paolo Bientinesi, Robert A. van de Geijn
2011 Misc conf
Improving high-performance computations on clouds through resource underutilization.
SAC
Roman Iakymchuk, Jeff Napper, Paolo Bientinesi
2011 B conf
Knowledge-Based Automatic Generation of Partitioned Matrix Expressions.
CASC
Diego Fabregat-Traver, Paolo Bientinesi
2011 J jnl
MR
Parallel Comput.
Matthias Petschow, Paolo Bientinesi
2011 J jnl
Solving Dense Generalized Eigenproblems on Multi-threaded Architectures
CoRR
José Ignacio Aliaga, Paolo Bientinesi, Davor Davidovic, Edoardo Di Napoli, Francisco D. Igual, Enrique S. Quintana-Ortí
2010 — ch.
HPC on Competitive Cloud Resources.
Handbook of Cloud Computing
Paolo Bientinesi, Roman Iakymchuk, Jeff Napper
2010 — conf
High-Performance Parallel Computations Using Python as High-Level Language.
Euro-Par Workshops
Stefano Masini, Paolo Bientinesi
2010 J jnl
Matrix Structure Exploitation in Generalized Eigenproblems Arising in Density Functional Theory
CoRR
Edoardo Di Napoli, Paolo Bientinesi
2010 — conf
The Algorithm of Multiple Relatively Robust Representations for Multi-core Processors.
PARA (1)
Matthias Petschow, Paolo Bientinesi
2010 Misc conf
Towards mechanical derivation of Krylov solver libraries.
ICCS
Victor Eijkhout, Paolo Bientinesi, Robert A. van de Geijn
2009 J jnl
An Example of Symmetry Exploitation for Energy-related Eigencomputations
CoRR
Matthias Petschow, Edoardo Di Napoli, Paolo Bientinesi
2009 — conf
On Parallelizing the MRRR Algorithm for Data-Parallel Coprocessors.
PPAM (1)
Christian Lessig, Paolo Bientinesi
2009 — conf
Reduction to Condensed Forms for Symmetric Eigenvalue Problems on Multi-core Architectures.
PPAM (1)
Paolo Bientinesi, Francisco D. Igual, Daniel Kressner, Enrique S. Quintana-Ortí
2008 J jnl
Families of algorithms related to the inversion of a Symmetric Positive Definite matrix.
ACM Trans. Math. Softw.
Paolo Bientinesi, Brian C. Gunter, Robert A. van de Geijn
2008 J jnl
Scalable parallelization of FLAME code via the workqueuing model.
ACM Trans. Math. Softw.
Field G. Van Zee, Paolo Bientinesi, Tze Meng Low, Robert A. van de Geijn
2008 B conf
SuperMatrix: a multithreaded runtime scheduling system for algorithms-by-blocks.
PPoPP
Ernie Chan, Field G. Van Zee, Paolo Bientinesi, Enrique S. Quintana-Ortí, Gregorio Quintana-Ortí, Robert A. van de Geijn
2005 J jnl
A Parallel Eigensolver for Dense Symmetric Matrices Based on Multiple Relatively Robust Representations.
SIAM J. Sci. Comput.
Paolo Bientinesi, Inderjit S. Dhillon, Robert A. van de Geijn
2005 J jnl
Representing linear algebra algorithms in code: the FLAME application program interfaces.
ACM Trans. Math. Softw.
Paolo Bientinesi, Enrique S. Quintana-Ortí, Robert A. van de Geijn
2005 J jnl
The science of deriving dense linear algebra algorithms.
ACM Trans. Math. Softw.
Paolo Bientinesi, John A. Gunnels, Margaret E. Myers, Enrique S. Quintana-Ortí, Robert A. van de Geijn
2004 — conf
Automatic Derivation of Linear Algebra Algorithms with Application to Control Theory.
PARA
Paolo Bientinesi, Sergey Kolos, Robert A. van de Geijn
2004 — conf
Rapid Development of High-Performance Linear Algebra Libraries.
PARA
Paolo Bientinesi, John A. Gunnels, Fred G. Gustavson, Greg Henry, Margaret E. Myers, Enrique S. Quintana-Ortí, Robert A. van de Geijn