Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network
Implementation of Neural Network Back Propagation Training Algorithm on FPGA
Fixed Point Quantization of Deep Convolutional Networks
A Holistic Approach for Optimizing DSP Block Utilization of a CNN implementation on FPGA
FixCaffe: Training CNN with Low Precision Arithmetic Operations by Fixed Point Caffe
CNN-MERP: An FPGA-Based Memory-Efficient Reconfigurable Processor for Forward and Backward Propagation of Convolutional Neural Networks
A Survey of FPGA-Based Hardware Implementation of ANNs
Accelerating CNN inference on FPGAs: A Survey
Recurrent Neural Networks Hardware Implementation on FPGA
SpWA: An Efficient Sparse Winograd Convolutional Neural Networks Accelerator on FPGAs
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations
Exploring Heterogeneous Algorithms for Accelerating Deep Convolutional Neural Networks on FPGAs
Fast Algorithms for Convolutional Neural Networks
A Survey of FPGA-Based Neural Network Accelerator
Data and Hardware Efficient Design for Convolutional Neural Network
Convolutional Neural Network on Embedded Linux ® System-on-Chip A Methodology and Performance Benchmark
Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks
CaffePresso: Accelerating Convolutional Networks on Embedded SoCs
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design
Minimizing Computation in Convolutional Neural Networks
Phased Array for UAV Communications at 5.5 GHz
Coordinated Actors for Reliable Self-adaptive Systems
Altered Processing and Integration of Multisensory Bodily Representations and Signals in Eating Disorders: A Possible Path Toward the Understanding of Their Underlying Causes
Maximum Achievable Power Conversion Efficiency Obtained Through an Optimized Rectenna Structure for RF Energy Harvesting
Detecting Surgical Tools by Modelling Local Appearance and Global Shape