Publications

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Corresponding bibtex list 

  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
  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 Solver Libraries for Exascale: FFTX and SpectralPack
    Exascale Computing Project (ECP) Annual Meeting, 2020, Poster
  4. Anuva Kulkarni, Daniele G. Spampinato and Franz Franchetti
    Design and Specification of Large-scale Simulations for GPUs using FFTX
    Supercomputing, 2019
  5. 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
  6. Anuva Kulkarni, Daniele G. Spampinato and Franz Franchetti
    FFTX for Micromechanical Stress-Strain Analysis
    IEEE High Performance Extreme Computing Conference (HPEC), 2019
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. Daniele G. Spampinato
    A Linear Algebra Compiler for Small Problem Sizes
    PhD. thesis, Computer Science, ETH Zurich, Switzerland, 2017
  13. 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
  14. 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
  15. Daniele G. Spampinato and Markus Püschel
    A Basic Linear Algebra Compiler
    Proc. International Symposium on Code Generation and Optimization (CGO), pp. 23-32, 2014
  16. 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
Publication interface designed and implemented by Patra Pantupat, Aliaksei Sandryhaila, and Markus Püschel
Electrical and Computer Engineering, Carnegie Mellon University, 2007