2 citations · 2 across the 4 of their papers we have counts for
6 papers
Towards the Multiple Constant Multiplication at Minimal Hardware Cost
Rémi Garcia, Anastasia Volkova
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 cost…
Dandelion: Certified Approximations of Elementary Functions
Heiko Becker, Mohit Tekriwal, Eva Darulova +2
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…
Hardware-aware Design of Multiplierless Second-Order IIR Filters with Minimum Adders
Rémi Garcia, Anastasia Volkova, Martin Kumm +2
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 specificati…
A Framework for Semi-Automatic Precision and Accuracy Analysis for Fast and Rigorous Deep Learning
Christoph Lauter, Anastasia Volkova
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…
Design of Optimal Multiplierless FIR Filters
Martin Kumm, Anastasia Volkova, Silviu-Ioan Filip
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…
Sound Approximation of Programs with Elementary Functions
Eva Darulova, Anastasia Volkova
Elementary function calls are a common feature in numerical programs. While their implementions in library functions are highly optimized, their computation is nonetheless very exp…