Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: ANNarchy: a code generation approach to neural simulations on parallel hardware
Simulating spiking neural networks on GPU
ApproxANN: An approximate computing framework for artificial neural network
BenchNN: On the broad potential application scope of hardware neural network accelerators
A Highly Parallel FPGA Implementation of Sparse Neural Network Training
Trends in Programming Languages for Neuroscience Simulations
Analog computation via neural networks
Massively Parallel Logic Simulation with GPUs
Darwin: a neuromorphic hardware co-processor based on Spiking Neural Networks
A New Stochastic Computing Methodology for Efficient Neural Network Implementation
Toward Analog Neural Computation
Parallelizing Over Artificial Neural Network Training Runs with Multigrid
Colony of NPUs : Scaling the Efficiency of Neural Accelerators
massively parallel architectures for ai : netl , thistle , and boltzmann machines .
CHAOS: a parallelization scheme for training convolutional neural networks on Intel Xeon Phi
Investigating whether hyperNEAT produces modular neural networks
Scalable Hierarchical Network-on-Chip Architecture for Spiking Neural Network Hardware Implementations
Implementation of Efficient Multilayer Perceptron ANN Neurons on Field Programmable Gate Array Chip
PNeuro: A scalable energy-efficient programmable hardware accelerator for neural networks
Artificial Neural Networks Processor-a Hardware Implementation using a FPGA
Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study
Cardless Cash Access using Biometric ATM Security System
Exploiting simple analytical models for modeling hardware accelerators
Accelerated simulation of spiking neural networks using GPUs
A survey of content based 3D shape retrieval methods