Open access
Date
2024-03-06Type
- Conference Paper
ETH Bibliography
no
Altmetrics
Abstract
We revisit existing linear computation coding (LCC) algorithms, and introduce a new framework that measures the computational cost of computing multidimensional linear functions, not only in terms of the number of additions, but also with respect to their suitability for parallel processing. Utilizing directed acyclic graphs, which correspond to signal flow graphs in hardware, we propose a novel LCC algorithm that controls the tradeoff between the total number of operations and their parallel executability. Numerical evaluations show that the proposed algorithm, constrained to a fully parallel structure, outperforms existing schemes. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000664583Publication status
publishedBook title
International Zurich Seminar on Information and Communication (IZS 2024). ProceedingsPages / Article No.
Publisher
ETH ZurichEvent
Organisational unit
02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.
Related publications and datasets
Is part of: https://doi.org/10.3929/ethz-b-000664209
More
Show all metadata
ETH Bibliography
no
Altmetrics