67 citations · 123 across the 7 of their papers we have counts for
8 papers
Multiplier Design Addressing Area-Delay Trade-offs by using DSP and Logic resources on FPGAs
Andreas Böttcher, Martin Kumm
The major challenge when designing multipliers for FPGAs is to address several trade-offs: On the one hand at the performance level and on the other hand at the resource level util…
Small Logic-based Multipliers with Incomplete Sub-Multipliers for FPGAs
Andreas Böttcher, Martin Kumm
There is a recent trend in artificial intelligence (AI) inference towards lower precision data formats down to 8 bits and less. As multiplication is the most complex operation in t…
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…
Efficient Error-Tolerant Quantized Neural Network Accelerators
Giulio Gambardella, Johannes Kappauf, Michaela Blott +4
Neural Networks are currently one of the most widely deployed machine learning algorithms. In particular, Convolutional Neural Networks (CNNs), are gaining popularity and are evalu…
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…
AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers
Julian Faraone, Martin Kumm, Martin Hardieck +4
Low-precision arithmetic operations to accelerate deep-learning applications on field-programmable gate arrays (FPGAs) have been studied extensively, because they offer the potenti…