Storage Constrained Linear Computation Coding

Karataev A, Rosenberger H, Bereyhi A, Müller R (2023)

Publication Type: Conference contribution

Publication year: 2023

Journal

Proceedings of the Data Compression Conference Institute of Electrical and Electronics Engineers

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2023-March

Pages Range: 345-

Conference Proceedings Title: Data Compression Conference Proceedings

Event location: Snowbird, UT, USA

ISBN: 9798350347951

DOI: 10.1109/DCC55655.2023.00067

Abstract

Linear computation coding (LCC) has been developed in [1] as a new framework for the computation of linear functions. LCC significantly reduces the complexity of matrix-vector multiplication [1]. In basic LCC, storage is not restricted i.e. the wiring exponents are arbitrary integer exponents of 2.

Authors with CRIS profile

Alexander Karataev Lehrstuhl für Digitale Übertragung Hans Rosenberger Lehrstuhl für Digitale Übertragung Ali Bereyhi Lehrstuhl für Digitale Übertragung Ralf Müller Professur für Informationsübertragung

How to cite

APA:

Karataev, A., Rosenberger, H., Bereyhi, A., & Müller, R. (2023). Storage Constrained Linear Computation Coding. In Ali Bilgin, Michael W. Marcellin, Joan Serra-Sagrista, James A. Storer (Eds.), Data Compression Conference Proceedings (pp. 345-). Snowbird, UT, USA: Institute of Electrical and Electronics Engineers Inc..

MLA:

Karataev, Alexander, et al. "Storage Constrained Linear Computation Coding." Proceedings of the 2023 Data Compression Conference, DCC 2023, Snowbird, UT, USA Ed. Ali Bilgin, Michael W. Marcellin, Joan Serra-Sagrista, James A. Storer, Institute of Electrical and Electronics Engineers Inc., 2023. 345-.

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