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Algebraic 

  1. Tze-Meng Low, Daniele G. Spampinato, A. Kutuluru, U. Sridhar, Thom Popovici, Franz Franchetti and S. McMillan
    Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices
    Proc. High Performance Extreme Computing (HPEC), 2018
  2. Daniele G. Spampinato and Markus Püschel
    A Basic Linear Algebra Compiler for Structured Matrices
    Proc. International Symposium on Code Generation and Optimization (CGO), pp. 117-127, 2016

Algorithm 

  1. Tze-Meng Low, Daniele G. Spampinato, A. Kutuluru, U. Sridhar, Thom Popovici, Franz Franchetti and S. McMillan
    Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices
    Proc. High Performance Extreme Computing (HPEC), 2018

Beyond transforms 

  1. Daniele G. Spampinato, Diego Fabregat-Traver, Paolo Bientinesi and Markus Püschel
    Program Generation for Small-Scale Linear Algebra Applications
    Proc. International Symposium on Code Generation and Optimization (CGO), pp. 327-339, 2018
  2. Daniele G. Spampinato and Markus Püschel
    A Basic Linear Algebra Compiler
    Proc. International Symposium on Code Generation and Optimization (CGO), pp. 23-32, 2014

Code generator 

  1. Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Thom Popovici, Tze-Meng Low, M. Franusich, A. Canning, P. McCorquodale, B. Van Straalen and P. Colella
    FFTX and SpectralPack: A First Look
    Proc. IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2018

Coding/Decoding 

  1. Franz Franchetti, Tze-Meng Low, Thom Popovici, Richard Veras, Daniele G. Spampinato, Jeremy Johnson, Markus Püschel, James C. Hoe and José M. F. Moura
    SPIRAL: Extreme Performance Portability
    Proceedings of the IEEE, special issue on ``From High Level Specification to High Performance Code'', Vol. 106, No. 11, 2018

Compiler 

  1. Daniele G. Spampinato and Markus Püschel
    A Basic Linear Algebra Compiler for Structured Matrices
    Proc. International Symposium on Code Generation and Optimization (CGO), pp. 117-127, 2016

CPUs 

  1. Jiyuan Zhang, Yi Lu, Daniele G. Spampinato and Franz Franchetti
    FESIA: A Fast and Efficient Set Intersection Approach on Modern CPUs
    Proc. IEEE International Conference on Data Engineering (ICDE), 2020
  2. Jiyuan Zhang, Daniele G. Spampinato and Franz Franchetti
    FESIA: A Fast and SIMD-Efficient Set Intersection Approach on Modern CPUs
    North East Database Day (NEDB), 2020, Poster

Design 

  1. Anuva Kulkarni, Daniele G. Spampinato and Franz Franchetti
    Design and Specification of Large-scale Simulations for GPUs using FFTX
    Supercomputing, 2019

Edge-centric 

  1. Tze-Meng Low, Daniele G. Spampinato, A. Kutuluru, U. Sridhar, Thom Popovici, Franz Franchetti and S. McMillan
    Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices
    Proc. High Performance Extreme Computing (HPEC), 2018

Exascale 

  1. Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Tze-Meng Low, M. Franusich, Thom Popovici, A. Canning, P. McCorquodale, B. Van Straalen and P. Colella
    FFT and Solver Libraries for Exascale: FFTX and SpectralPack
    Exascale Computing Project (ECP) Annual Meeting, 2020, Poster
  2. Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Tze-Meng Low, M. Franusich, Thom Popovici, A. Canning, P. McCorquodale, B. Van Straalen and P. Colella
    FFT and Solvers for Exascale: FFTX and SpectralPACK
    Exascale Computing Project (ECP) Annual Meeting, 2019
  3. Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Thom Popovici, Tze-Meng Low, M. Franusich, A. Canning, P. McCorquodale, B. Van Straalen and P. Colella
    FFTX and SpectralPack: A First Look
    Proc. IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2018

Fast Fourier Transform 

  1. Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Thom Popovici, Tze-Meng Low, M. Franusich, A. Canning, P. McCorquodale, B. Van Straalen and P. Colella
    FFTX and SpectralPack: A First Look
    Proc. IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2018

FFT 

  1. Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Tze-Meng Low, M. Franusich, Thom Popovici, A. Canning, P. McCorquodale, B. Van Straalen and P. Colella
    FFT and Solvers for Exascale: FFTX and SpectralPACK
    Exascale Computing Project (ECP) Annual Meeting, 2019
  2. Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Thom Popovici, Tze-Meng Low, M. Franusich, A. Canning, P. McCorquodale, B. Van Straalen and P. Colella
    FFTX and SpectralPack: A First Look
    Proc. IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2018

FFTX 

  1. Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Tze-Meng Low, M. Franusich, Thom Popovici, A. Canning, P. McCorquodale, B. Van Straalen and P. Colella
    FFT and Solver Libraries for Exascale: FFTX and SpectralPack
    Exascale Computing Project (ECP) Annual Meeting, 2020, Poster
  2. Anuva Kulkarni, Daniele G. Spampinato and Franz Franchetti
    Design and Specification of Large-scale Simulations for GPUs using FFTX
    Supercomputing, 2019
  3. Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Tze-Meng Low, M. Franusich, Thom Popovici, A. Canning, P. McCorquodale, B. Van Straalen and P. Colella
    FFT and Solvers for Exascale: FFTX and SpectralPACK
    Exascale Computing Project (ECP) Annual Meeting, 2019
  4. Anuva Kulkarni, Daniele G. Spampinato and Franz Franchetti
    FFTX for Micromechanical Stress-Strain Analysis
    IEEE High Performance Extreme Computing Conference (HPEC), 2019

GPUs 

  1. Anuva Kulkarni, Daniele G. Spampinato and Franz Franchetti
    Design and Specification of Large-scale Simulations for GPUs using FFTX
    Supercomputing, 2019

Graph-algorithms 

  1. Tze-Meng Low, Daniele G. Spampinato, A. Kutuluru, U. Sridhar, Thom Popovici, Franz Franchetti and S. McMillan
    Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices
    Proc. High Performance Extreme Computing (HPEC), 2018

Graphs 

  1. Tze-Meng Low, Daniele G. Spampinato, A. Kutuluru, U. Sridhar, Thom Popovici, Franz Franchetti and S. McMillan
    Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices
    Proc. High Performance Extreme Computing (HPEC), 2018

High performance 

  1. Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Thom Popovici, Tze-Meng Low, M. Franusich, A. Canning, P. McCorquodale, B. Van Straalen and P. Colella
    FFTX and SpectralPack: A First Look
    Proc. IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2018
  2. Tze-Meng Low, Daniele G. Spampinato, A. Kutuluru, U. Sridhar, Thom Popovici, Franz Franchetti and S. McMillan
    Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices
    Proc. High Performance Extreme Computing (HPEC), 2018
  3. Franz Franchetti, Tze-Meng Low, Thom Popovici, Richard Veras, Daniele G. Spampinato, Jeremy Johnson, Markus Püschel, James C. Hoe and José M. F. Moura
    SPIRAL: Extreme Performance Portability
    Proceedings of the IEEE, special issue on ``From High Level Specification to High Performance Code'', Vol. 106, No. 11, 2018

K-truss 

  1. Tze-Meng Low, Daniele G. Spampinato, A. Kutuluru, U. Sridhar, Thom Popovici, Franz Franchetti and S. McMillan
    Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices
    Proc. High Performance Extreme Computing (HPEC), 2018

Large Scale 

  1. Anuva Kulkarni, Daniele G. Spampinato and Franz Franchetti
    Design and Specification of Large-scale Simulations for GPUs using FFTX
    Supercomputing, 2019
  2. Jiyuan Zhang, Daniele G. Spampinato, S. McMillan and Franz Franchetti
    Preliminary Exploration on Large-Scale Triangle Counting in Shared-Memory Multicore System
    Proc. IEEE High Performance Extreme Computing (HPEC), 2018

Linear algebra 

  1. Tze-Meng Low, Daniele G. Spampinato, A. Kutuluru, U. Sridhar, Thom Popovici, Franz Franchetti and S. McMillan
    Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices
    Proc. High Performance Extreme Computing (HPEC), 2018
  2. Daniele G. Spampinato, Diego Fabregat-Traver, Paolo Bientinesi and Markus Püschel
    Program Generation for Small-Scale Linear Algebra Applications
    Proc. International Symposium on Code Generation and Optimization (CGO), pp. 327-339, 2018
  3. Daniele G. Spampinato
    A Linear Algebra Compiler for Small Problem Sizes
    PhD. thesis, Computer Science, ETH Zurich, Switzerland, 2017
  4. Daniele G. Spampinato and Markus Püschel
    A Basic Linear Algebra Compiler for Structured Matrices
    Proc. International Symposium on Code Generation and Optimization (CGO), pp. 117-127, 2016
  5. Daniele G. Spampinato and Markus Püschel
    A Basic Linear Algebra Compiler
    Proc. International Symposium on Code Generation and Optimization (CGO), pp. 23-32, 2014

Memory 

  1. Jiyuan Zhang, Daniele G. Spampinato, S. McMillan and Franz Franchetti
    Preliminary Exploration on Large-Scale Triangle Counting in Shared-Memory Multicore System
    Proc. IEEE High Performance Extreme Computing (HPEC), 2018

Multicore Systems 

  1. Jiyuan Zhang, Daniele G. Spampinato, S. McMillan and Franz Franchetti
    Preliminary Exploration on Large-Scale Triangle Counting in Shared-Memory Multicore System
    Proc. IEEE High Performance Extreme Computing (HPEC), 2018

Numerical kernels we consider 

  1. Daniele G. Spampinato and Markus Püschel
    A Basic Linear Algebra Compiler
    Proc. International Symposium on Code Generation and Optimization (CGO), pp. 23-32, 2014

Optimizing 

  1. Daniele G. Spampinato
    A Linear Algebra Compiler for Small Problem Sizes
    PhD. thesis, Computer Science, ETH Zurich, Switzerland, 2017

Performance analysis 

  1. Georg Ofenbeck, Ruedi Steinmann, Victoria Caparrós Cabezas, Daniele G. Spampinato and Markus Püschel
    Applying the Roofline Model
    Proc. IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), pp. 76 - 85, 2014

Performance model 

  1. Georg Ofenbeck, Ruedi Steinmann, Victoria Caparrós Cabezas, Daniele G. Spampinato and Markus Püschel
    Applying the Roofline Model
    Proc. IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), pp. 76 - 85, 2014

Polyhedral Model 

  1. Daniele G. Spampinato
    A Linear Algebra Compiler for Small Problem Sizes
    PhD. thesis, Computer Science, ETH Zurich, Switzerland, 2017

Portability 

  1. Franz Franchetti, Tze-Meng Low, Thom Popovici, Richard Veras, Daniele G. Spampinato, Jeremy Johnson, Markus Püschel, James C. Hoe and José M. F. Moura
    SPIRAL: Extreme Performance Portability
    Proceedings of the IEEE, special issue on ``From High Level Specification to High Performance Code'', Vol. 106, No. 11, 2018

Program generation 

  1. Daniele G. Spampinato
    A Linear Algebra Compiler for Small Problem Sizes
    PhD. thesis, Computer Science, ETH Zurich, Switzerland, 2017

Roofline model 

  1. Georg Ofenbeck, Ruedi Steinmann, Victoria Caparrós Cabezas, Daniele G. Spampinato and Markus Püschel
    Applying the Roofline Model
    Proc. IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), pp. 76 - 85, 2014

Set intersection 

  1. Jiyuan Zhang, Yi Lu, Daniele G. Spampinato and Franz Franchetti
    FESIA: A Fast and Efficient Set Intersection Approach on Modern CPUs
    Proc. IEEE International Conference on Data Engineering (ICDE), 2020
  2. Jiyuan Zhang, Daniele G. Spampinato and Franz Franchetti
    FESIA: A Fast and SIMD-Efficient Set Intersection Approach on Modern CPUs
    North East Database Day (NEDB), 2020, Poster

SIMD vectorization 

  1. Jiyuan Zhang, Daniele G. Spampinato and Franz Franchetti
    FESIA: A Fast and SIMD-Efficient Set Intersection Approach on Modern CPUs
    North East Database Day (NEDB), 2020, Poster
  2. Daniele G. Spampinato, Diego Fabregat-Traver, Paolo Bientinesi and Markus Püschel
    Program Generation for Small-Scale Linear Algebra Applications
    Proc. International Symposium on Code Generation and Optimization (CGO), pp. 327-339, 2018
  3. Daniele G. Spampinato
    A Linear Algebra Compiler for Small Problem Sizes
    PhD. thesis, Computer Science, ETH Zurich, Switzerland, 2017
  4. Daniele G. Spampinato and Markus Püschel
    A Basic Linear Algebra Compiler
    Proc. International Symposium on Code Generation and Optimization (CGO), pp. 23-32, 2014

Simulation 

  1. Anuva Kulkarni, Daniele G. Spampinato and Franz Franchetti
    Design and Specification of Large-scale Simulations for GPUs using FFTX
    Supercomputing, 2019

SpectralPACK 

  1. Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Tze-Meng Low, M. Franusich, Thom Popovici, A. Canning, P. McCorquodale, B. Van Straalen and P. Colella
    FFT and Solver Libraries for Exascale: FFTX and SpectralPack
    Exascale Computing Project (ECP) Annual Meeting, 2020, Poster
  2. Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Tze-Meng Low, M. Franusich, Thom Popovici, A. Canning, P. McCorquodale, B. Van Straalen and P. Colella
    FFT and Solvers for Exascale: FFTX and SpectralPACK
    Exascale Computing Project (ECP) Annual Meeting, 2019

SPIRAL 

  1. Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Tze-Meng Low, M. Franusich, Thom Popovici, A. Canning, P. McCorquodale, B. Van Straalen and P. Colella
    FFT and Solvers for Exascale: FFTX and SpectralPACK
    Exascale Computing Project (ECP) Annual Meeting, 2019
  2. Franz Franchetti, Tze-Meng Low, Thom Popovici, Richard Veras, Daniele G. Spampinato, Jeremy Johnson, Markus Püschel, James C. Hoe and José M. F. Moura
    SPIRAL: Extreme Performance Portability
    Proceedings of the IEEE, special issue on ``From High Level Specification to High Performance Code'', Vol. 106, No. 11, 2018

Stress-strain analysis 

  1. Anuva Kulkarni, Daniele G. Spampinato and Franz Franchetti
    FFTX for Micromechanical Stress-Strain Analysis
    IEEE High Performance Extreme Computing Conference (HPEC), 2019

Structured matrices 

  1. Daniele G. Spampinato
    A Linear Algebra Compiler for Small Problem Sizes
    PhD. thesis, Computer Science, ETH Zurich, Switzerland, 2017
  2. Daniele G. Spampinato and Markus Püschel
    A Basic Linear Algebra Compiler for Structured Matrices
    Proc. International Symposium on Code Generation and Optimization (CGO), pp. 117-127, 2016

Synthesis 

  1. Daniele G. Spampinato, Diego Fabregat-Traver, Paolo Bientinesi and Markus Püschel
    Program Generation for Small-Scale Linear Algebra Applications
    Proc. International Symposium on Code Generation and Optimization (CGO), pp. 327-339, 2018
  2. Daniele G. Spampinato and Markus Püschel
    A Basic Linear Algebra Compiler
    Proc. International Symposium on Code Generation and Optimization (CGO), pp. 23-32, 2014

Triangle counting 

  1. Jiyuan Zhang, Daniele G. Spampinato, S. McMillan and Franz Franchetti
    Preliminary Exploration on Large-Scale Triangle Counting in Shared-Memory Multicore System
    Proc. IEEE High Performance Extreme Computing (HPEC), 2018

(No keyword) 

  1. Nikolaos Kyrtatas, Daniele G. Spampinato and Markus Püschel
    A Basic Linear Algebra Compiler for Embedded Processors
    Proc. Design, Automation and Test in Europe (DATE), pp. 1054-1059, 2015
Publication interface designed and implemented by Patra Pantupat, Aliaksei Sandryhaila, and Markus Püschel
Electrical and Computer Engineering, Carnegie Mellon University, 2007