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2023
- 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
- 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
- D. Soni, N. Neda, N. Zhang, B. Reynwar, B. Heyman, M. Nabeel, A. Al Badawi, Y. Polyakov, K. Canida, M. Pedram, M. Maniatakos, D. B. Cousins, Franz Franchetti, M. French, A. G. Schmidt and B. Reagen
RPU: The Ring-Processing Unit
Proc. IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2023
- 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
2020
- 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
- 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
- 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
- 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
- Jiyuan Zhang, Franz Franchetti and Tze-Meng Low
High Performance Zero-Memory Overhead Direct Convolutions
Proc. International Conference on Machine Learning (ICML), 2018
- 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
- 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
- Richard Veras
The Automatic Generation of High-Performance Graph Analytic Code using Spiral
PhD. thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2017
2013
- Tao Cui
Power System Probabilistic and Security Analysis Using Commodity High Performance Computing Systems
PhD. thesis, Electrical and Computer Engineering, Carnegie Mellon University, 2013
- 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
- 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
- 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
- Tao Cui and Franz Franchetti
A Multi-core High Performance Computing Framework for Distribution Power Flow
Proc. North American Power Symposium (NAPS), 2011
2010
- 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