Zobrazeno 1 - 10
of 85
pro vyhledávání: '"VOLKOVA, ANASTASIA"'
Publikováno v:
Journ{\'e}es d'Informatique Musicale 2024, May 2024, Marseille, France
Modern programmable digital signal processing relies on floating-point numbers for their ease of use. Fixed-point number formats have the potential to save resources and improve execution time, but realising this potential burdens the programmer with
Externí odkaz:
http://arxiv.org/abs/2403.06527
Autor:
Garcia, Rémi, Volkova, Anastasia
Multiple Constant Multiplication (MCM) over integers is a frequent operation arising in embedded systems that require highly optimized hardware. An efficient way is to replace costly generic multiplication by bit-shifts and additions, i.e. a multipli
Externí odkaz:
http://arxiv.org/abs/2210.02742
Elementary function operations such as sin and exp cannot in general be computed exactly on today's digital computers, and thus have to be approximated. The standard approximations in library functions typically provide only a limited set of precisio
Externí odkaz:
http://arxiv.org/abs/2202.05472
In this work, we optimally solve the problem of multiplierless design of second-order Infinite Impulse Response filters with minimum number of adders. Given a frequency specification, we design a stable direct form filter with hardware-aware fixed-po
Externí odkaz:
http://arxiv.org/abs/2108.01565
Autor:
Lauter, Christoph, Volkova, Anastasia
Deep Neural Networks (DNN) represent a performance-hungry application. Floating-Point (FP) and custom floating-point-like arithmetic satisfies this hunger. While there is need for speed, inference in DNNs does not seem to have any need for precision.
Externí odkaz:
http://arxiv.org/abs/2002.03869
Akademický článek
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This work presents two novel optimization methods based on integer linear programming (ILP) that minimize the number of adders used to implement a direct/transposed finite impulse response (FIR) filter adhering to a given frequency specification. The
Externí odkaz:
http://arxiv.org/abs/1912.04210
Autor:
Grubova, Irina Yu, Kozadaeva, Maria, Volkova, Anastasia P., Khrapov, Dmitriy, Surmenev, Roman A., Koptyug, Andrey V., Vladescu (Dragomir), Alina, Tyurin, Alexander, Surmeneva, Maria A.
Publikováno v:
In Journal of Materials Research and Technology July-August 2023 25:4457-4478
Autor:
Volkova, Anastasia
Dans cette thèse nous essayons d'améliorer l'évaluation de filtres numériques en nous concentrant sur la précision de calcul nécessaire.Ce travail est réalisé dans le contexte d'un générateur de code matériel/logiciel fiable pour des filtr
Externí odkaz:
http://www.theses.fr/2017PA066579/document
Autor:
Darulova, Eva, Volkova, Anastasia
Elementary function calls are a common feature in numerical programs. While their implementions in library functions are highly optimized, their computation is nonetheless very expensive compared to plain arithmetic. Full accuracy is, however, not al
Externí odkaz:
http://arxiv.org/abs/1811.10274