476 citations
- Karlsruhe Institute of TechnologyDE16 papers
- University of MünsterDE16 papers
- Lawrence Berkeley National LaboratoryUS15 papers
- Czech Academy of Sciences, Nuclear Physics InstituteCZ14 papers
- Institute for Nuclear ResearchRU14 papers
- Massachusetts Institute of TechnologyUS14 papers
- Max Planck Institute for PhysicsDE14 papers
- Technical University of MunichDE14 papers
- University of North Carolina at Chapel HillUS14 papers
- University of WashingtonUS14 papers
- University of WuppertalDE14 papers
- Carnegie Mellon UniversityUS13 papers
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eess.SP2019★ 39 cited
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…
eess.SP2019★ 2 cited
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…
eess.SP2019★ 67 cited
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…