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bibtex list 


  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
  2. 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

Conference (fully reviewed) 

  1. Sanil Rao, M. A. H. Monil, H. Mankad, J. Vetter and Franz Franchetti
    FFTX-IRIS: Towards Performance Portability and Heterogeneity for SPIRAL Generated Code
    Proc. Supercomputing (SC), 2023
  2. N. Zhang, A. Ebel, N. Neda, P. Brinich, B. Reynwar, A. G. Schmidt, M. Franusich, Jeremy Johnson, B. Reagen and Franz Franchetti
    Generating High-Performance Number Theoretic Transform Implementations for Vector Architectures
    Proc. IEEE High Performance Extreme Computing (HPEC), 2023
  3. 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
  4. 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
  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
  6. 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
  7. Jiyuan Zhang, Franz Franchetti and Tze-Meng Low
    High Performance Zero-Memory Overhead Direct Convolutions
    Proc. International Conference on Machine Learning (ICML), 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. 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
  10. 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
  11. 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
  12. Tao Cui and Franz Franchetti
    A Multi-core High Performance Computing Framework for Distribution Power Flow
    Proc. North American Power Symposium (NAPS), 2011


  1. Richard Veras
    The Automatic Generation of High-Performance Graph Analytic Code using Spiral
    PhD. thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2017
  2. Tao Cui
    Power System Probabilistic and Security Analysis Using Commodity High Performance Computing Systems
    PhD. thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2013


  1. D. B. Cousins, Y. Polyakov, A. Al Badawi, M. French, A. G. Schmidt, A. Jacob, B. Reynwar, K. Canida, A. Jaiswal, C. Mathew, H. Gamil, N. Neda, D. Soni, M. Maniatakos, B. Reagen, N. Zhang, Franz Franchetti, P. Brinich, Jeremy Johnson, P. Broderick, M. Franusich, B. Zhang, Z. Cheng and M. Pedram
    TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation
    arXiv, 2023
Publication interface designed and implemented by Patra Pantupat, Aliaksei Sandryhaila, and Markus Püschel
Electrical and Computer Engineering, Carnegie Mellon University, 2007