F
Franz Franchetti
Researcher at Carnegie Mellon University
Publications - 144
Citations - 4847
Franz Franchetti is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: SIMD & Fast Fourier transform. The author has an hindex of 34, co-authored 137 publications receiving 4329 citations. Previous affiliations of Franz Franchetti include Vienna University of Technology & University of Vienna.
Papers
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Journal ArticleDOI
SPIRAL: Code Generation for DSP Transforms
Markus Püschel,Jose M. F. Moura,Jeremy Johnson,David Padua,Manuela Veloso,Bryan Singer,Jianxin Xiong,Franz Franchetti,A. Gacic,Yevgen Voronenko,K. Chen,R. W. Johnson,Nick Rizzolo +12 more
TL;DR: SPIRAL generates high-performance code for a broad set of DSP transforms, including the discrete Fourier transform, other trigonometric transforms, filter transforms, and discrete wavelet transforms.
Proceedings ArticleDOI
Data reorganization in memory using 3D-stacked DRAM
TL;DR: A two pronged approach for efficient data reorganization is presented, which combines a proposed DRAM-aware reshape accelerator integrated within 3D-stacked DRAM, and a mathematical framework that is used to represent and optimize the reorganization operations.
Journal ArticleDOI
Energy-Efficient Abundant-Data Computing: The N3XT 1,000x
Mohamed M. Sabry Aly,Mingyu Gao,Gage Hills,Chi-Shuen Lee,Greg Pitner,Max M. Shulaker,Tony F. Wu,Mehdi Asheghi,Jeffrey Bokor,Franz Franchetti,Kenneth E. Goodson,Christos Kozyrakis,Igor L. Markov,Kunle Olukotun,Larry Pileggi,Eric Pop,Jan M. Rabaey,Christopher Ré,H.-S. Philip Wong,Subhasish Mitra +19 more
TL;DR: N3XT improves the energy efficiency of abundant-data applications 1,000-fold by using new logic and memory technologies, 3D integration with fine-grained connectivity, and new architectures for computation immersed in memory.
Proceedings ArticleDOI
Mathematical foundations of the GraphBLAS
Jeremy Kepner,Peter Aaltonen,David A. Bader,Aydin Buluc,Franz Franchetti,John R. Gilbert,Dylan Hutchison,Manoj Kumar,Andrew Lumsdaine,Henning Meyerhenke,Scott McMillan,Carl Yang,John D. Owens,Marcin Zalewski,Timothy G. Mattson,José E. Moreira +15 more
TL;DR: The GraphBLAS standard as discussed by the authors defines a core set of matrix-based graph operations that can be used to implement a wide class of graph algorithms in a wide range of programming environments.
Proceedings ArticleDOI
A stencil compiler for short-vector SIMD architectures
Thomas Henretty,Richard Veras,Franz Franchetti,Louis-Noël Pouchet,J. Ramanujam,P. Sadayappan +5 more
TL;DR: A domain specific language and compiler for stencil computations is proposed that allows specification of stencils in a concise manner and automates both locality and short-vector SIMD optimizations, along with effective utilization of multi-core parallelism.