• Publications
  • Influence
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
TLDR
BinaryConnect is introduced, a method which consists in training a DNN with binary weights during the forward and backward propagations, while retaining precision of the stored weights in which gradients are accumulated, and near state-of-the-art results with BinaryConnect are obtained on the permutation-invariant MNIST, CIFAR-10 and SVHN. Expand
Training deep neural networks with low precision multiplications
TLDR
It is found that very low precision is sufficient not just for running trained networks but also for training them, and it is possible to train Maxout networks with 10 bits multiplications. Expand
Low precision arithmetic for deep learning
TLDR
It is found that very low precision computation is sufficient not just for running trained networks but also for training them. Expand
A Cryptanalytic Time-Memory Tradeoff: First FPGA Implementation
TLDR
The experimental results for the cryptanalysis of DES that are presented are based on a time-memory tradeoff using distinguished points, a method which is referenced to Rivest [2]. Expand
Hardware Complexity of Modular Multiplication and Exponentiation
TLDR
This paper reviews their hardware complexity and proposes original implementations of MM and ME that become useful for 24-bit operators (Karatsuba algorithm) or 373- bit operators (FFT algorithm). Expand
Low precision storage for deep learning
TLDR
It is found that very low precision storage is sufficient not just for running trained networks but also for training them. Expand
A State-Space Modeling Approach for the FPGA-Based Real-Time Simulation of High Switching Frequency Power Converters
TLDR
A comprehensive approach to the real-time simulation of power converters using a state-space representation using a new switch model that exhibits a natural switching behavior is covered in this paper. Expand
Effective floating-point calculation engines intended for the FPGA-based HIL simulation
TLDR
The effectiveness of the proposed multi-cycle accumulation scheme is here confirmed by considering a real-world application case study, that is a model of a permanent magnet synchronous motor driven by a three-phase two-level Insulated-Gate Bipolar Transistor (IGBT) inverter. Expand
An Intermediate Level HDL for System Level Design
TLDR
The silicon nitride sintered body suffers almost no deterioration of the fired surface resulting from the evaporation ofSiO2 and the nitriding of SiO2, and exhibits substantially equal four point bending strength and oxidation resistance with respect to the Fired surface and the inside thereof. Expand
Max-hashing fragments for large data sets detection
  • J. David
  • Computer Science
  • International Conference on Reconfigurable…
  • 1 December 2013
TLDR
This work proposes a fast algorithm tailored to FPGA implementation to detect the transfer of known digital objects from their fragments by just inspecting the IP packets captured during an FTP transfer with excellent true/false positive rates. Expand
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