Publications

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Corresponding bibtex list 

Algorithm 

1. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   Massive Scaling of MASSIF: Algorithm Development and Analysis for Simulation on GPUs
   Proc. Platform for Advanced Scientific Computing (PASC), Article 13, pp. 1 - 10, 2020
   
2. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   Algorithm Design at Scale: Porting Parallel FFT-based Fortran Simulations to GPUs
   SIAM Conference on Computational Science and Engineering (CSE), 2019
   
3. Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
   Algorithm Design for Large Scale FFT-Based Simulations on CPU-GPU Platforms
   , 2018
   
4. Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
   Algorithm Design for Large Scale Parallel FFT-Based Simulations on Heterogeneous Platforms
   Proc. High Performance Extreme Computing (HPEC), 2018
   

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
   

Convolutions 

1. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   A Framework for Low Communication Approaches for Large Scale 3D Convolution
   Proc. International Conference on Parallel Processing (ICPP), 2022
   
2. Anuva Kulkarni
   An Approach for Large-Scale Three-Dimensional FFT-Based Approximate Convolutions on GPUs
   PhD. thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2020
   

CPUs 

1. Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
   Algorithm Design for Large Scale FFT-Based Simulations on CPU-GPU Platforms
   , 2018
   

Design 

1. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   Algorithm Design at Scale: Porting Parallel FFT-based Fortran Simulations to GPUs
   SIAM Conference on Computational Science and Engineering (CSE), 2019
   
2. Anuva Kulkarni, Daniele G. Spampinato and Franz Franchetti
   Design and Specification of Large-scale Simulations for GPUs using FFTX
   Supercomputing, 2019
   
3. Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
   Algorithm Design for Large Scale FFT-Based Simulations on CPU-GPU Platforms
   , 2018
   
4. Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
   Algorithm Design for Large Scale Parallel FFT-Based Simulations on Heterogeneous Platforms
   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. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   A Framework for Low Communication Approaches for Large Scale 3D Convolution
   Proc. International Conference on Parallel Processing (ICPP), 2022
   
2. Anuva Kulkarni
   An Approach for Large-Scale Three-Dimensional FFT-Based Approximate Convolutions on GPUs
   PhD. thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2020
   
3. Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
   Algorithm Design for Large Scale FFT-Based Simulations on CPU-GPU Platforms
   , 2018
   
4. Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
   Algorithm Design for Large Scale Parallel FFT-Based Simulations on Heterogeneous Platforms
   Proc. High Performance Extreme Computing (HPEC), 2018
   
5. 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. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   A Framework for Low Communication Approaches for Large Scale 3D Convolution
   Proc. International Conference on Parallel Processing (ICPP), 2022
   
2. Anuva Kulkarni
   An Approach for Large-Scale Three-Dimensional FFT-Based Approximate Convolutions on GPUs
   PhD. thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2020
   
3. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   Algorithm Design at Scale: Porting Parallel FFT-based Fortran Simulations to GPUs
   SIAM Conference on Computational Science and Engineering (CSE), 2019
   
4. 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
   
5. 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, Jelena Kovacevic and Franz Franchetti
   A Framework for Low Communication Approaches for Large Scale 3D Convolution
   Proc. International Conference on Parallel Processing (ICPP), 2022
   
2. Anuva Kulkarni
   An Approach for Large-Scale Three-Dimensional FFT-Based Approximate Convolutions on GPUs
   PhD. thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2020
   
3. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   Massive Scaling of MASSIF: Algorithm Development and Analysis for Simulation on GPUs
   Proc. Platform for Advanced Scientific Computing (PASC), Article 13, pp. 1 - 10, 2020
   
4. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   Algorithm Design at Scale: Porting Parallel FFT-based Fortran Simulations to GPUs
   SIAM Conference on Computational Science and Engineering (CSE), 2019
   
5. Anuva Kulkarni, Daniele G. Spampinato and Franz Franchetti
   Design and Specification of Large-scale Simulations for GPUs using FFTX
   Supercomputing, 2019
   
6. Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
   Algorithm Design for Large Scale FFT-Based Simulations on CPU-GPU Platforms
   , 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
   

Large Scale 

1. Anuva Kulkarni
   An Approach for Large-Scale Three-Dimensional FFT-Based Approximate Convolutions on GPUs
   PhD. thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2020
   
2. Anuva Kulkarni, Daniele G. Spampinato and Franz Franchetti
   Design and Specification of Large-scale Simulations for GPUs using FFTX
   Supercomputing, 2019
   
3. Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
   Algorithm Design for Large Scale FFT-Based Simulations on CPU-GPU Platforms
   , 2018
   
4. Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
   Algorithm Design for Large Scale Parallel FFT-Based Simulations on Heterogeneous Platforms
   Proc. High Performance Extreme Computing (HPEC), 2018
   

Parallel processing 

1. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   Algorithm Design at Scale: Porting Parallel FFT-based Fortran Simulations to GPUs
   SIAM Conference on Computational Science and Engineering (CSE), 2019
   
2. Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
   Algorithm Design for Large Scale Parallel FFT-Based Simulations on Heterogeneous Platforms
   Proc. High Performance Extreme Computing (HPEC), 2018
   

Scalable 

1. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   A Framework for Low Communication Approaches for Large Scale 3D Convolution
   Proc. International Conference on Parallel Processing (ICPP), 2022
   
2. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   Massive Scaling of MASSIF: Algorithm Development and Analysis for Simulation on GPUs
   Proc. Platform for Advanced Scientific Computing (PASC), Article 13, pp. 1 - 10, 2020
   

Simulation 

1. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   A Framework for Low Communication Approaches for Large Scale 3D Convolution
   Proc. International Conference on Parallel Processing (ICPP), 2022
   
2. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   Massive Scaling of MASSIF: Algorithm Development and Analysis for Simulation on GPUs
   Proc. Platform for Advanced Scientific Computing (PASC), Article 13, pp. 1 - 10, 2020
   
3. Anuva Kulkarni, Jelena Kovacevic and Franz Franchetti
   Algorithm Design at Scale: Porting Parallel FFT-based Fortran Simulations to GPUs
   SIAM Conference on Computational Science and Engineering (CSE), 2019
   
4. Anuva Kulkarni, Daniele G. Spampinato and Franz Franchetti
   Design and Specification of Large-scale Simulations for GPUs using FFTX
   Supercomputing, 2019
   
5. Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
   Algorithm Design for Large Scale FFT-Based Simulations on CPU-GPU Platforms
   , 2018
   
6. Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
   Algorithm Design for Large Scale Parallel FFT-Based Simulations on Heterogeneous Platforms
   Proc. High Performance Extreme Computing (HPEC), 2018
   

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
   

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
   

Three-dimensional 

1. Anuva Kulkarni
   An Approach for Large-Scale Three-Dimensional FFT-Based Approximate Convolutions on GPUs
   PhD. thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2020
   

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Electrical and Computer Engineering, Carnegie Mellon University, 2007