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High performance 

2020 

  1. Mark Blanco, S. McMillan and Tze-Meng Low
    Towards an Objective Metric for the Performance of Exact Triangle Count
    Proc. High Performance Extreme Computing (HPEC), 2020

2019 

  1. 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. 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. Vadim Zaliva and Franz Franchetti
    HELIX: A Case Study of a Formal Verification of High Performance Program Generation
    Proc. Workshop on Functional High Performance Computing (FHPC), 2018
  3. Jiyuan Zhang, Franz Franchetti and Tze-Meng Low
    High Performance Zero-Memory Overhead Direct Convolutions
    Proc. International Conference on Machine Learning (ICML), 2018
  4. 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
  5. 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

2017 

  1. Richard Veras
    The Automatic Generation of High-Performance Graph Analytic Code using Spiral
    PhD. thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2017

2013 

  1. Tao Cui
    Power System Probabilistic and Security Analysis Using Commodity High Performance Computing Systems
    PhD. thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2013
  2. Martin Kong, Richard Veras, Kevin Stock, Franz Franchetti, Louis-Noël Pouchet and P. Sadayappan
    When Polyhedral Transformations Meet SIMD Code Generation
    Proc. Programming Languages Design and Implementation (PLDI), Vol. 48, pp. 127-138, 2013

2012 

  1. Tao Cui and Franz Franchetti
    A Multi-Core High Performance Computing Framework for Probabilistic Solutions of Distribution Systems
    Proc. IEEE Power and Energy Society General Meeting (PES-GM), pp. 1-6, 2012
  2. W. Yu, Franz Franchetti, James C. Hoe and Tsuhan Chen
    Highly Efficient Performance Portable Tracking of Evolving Surfaces
    Proc. IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 296-307, 2012

2011 

  1. Tao Cui and Franz Franchetti
    A Multi-core High Performance Computing Framework for Distribution Power Flow
    Proc. North American Power Symposium (NAPS), 2011

2010 

  1. W. Yu, Tsuhan Chen, Franz Franchetti and James C. Hoe
    High Performance Stereo Vision Designed for Massively Data Parallel Platforms
    IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), Vol. 20, No. 11, pp. 1509-1519, 2010
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Electrical and Computer Engineering, Carnegie Mellon University, 2007