Publications

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GPUs 

2020 

  1. Jiyuan Zhang
    Accelerating the Motifs of Machine Learning Applications on Modern Processors
    PhD. thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2020
  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

2019 

  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. Mark Blanco, Tze-Meng Low and Kyungjoo Kim
    Exploration of Fine-Grained Parallelism for Load Balancing Eager K-truss on GPU and CPU
    Proc. High Performance Extreme Computing (HPEC), 2019

2018 

  1. Anuva Kulkarni, Franz Franchetti and Jelena Kovacevic
    Algorithm Design for Large Scale FFT-Based Simulations on CPU-GPU Platforms
    , 2018
  2. Vit Ruzicka and Franz Franchetti
    Fast and Accurate Object Detection in High Resolution 4K and 8K Video Using GPUs
    Proc. IEEE High Performance Extreme Computing (HPEC), 2018

2012 

  1. C. Angelopoulos, Franz Franchetti and Markus Püschel
    Automatic Generation of FFT Libraries for GPUs
    NVIDIA Research Summit at the GPU Technology Conference, 2012

2010 

  1. C. Angelopoulos, Franz Franchetti and Markus Püschel
    DFT Transform on the Fermi (GTX480): Automatic Program Generation
    NVIDIA Research Summit at the GPU Technology Conference, 2010
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Electrical and Computer Engineering, Carnegie Mellon University, 2007