Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Latency-driven design for FPGA-based convolutional neural networks
Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks
Latency and throughput characterization of convolutional neural networks for mobile computer vision
Towards a Uniform Template-based Architecture for Accelerating 2D and 3D CNNs on FPGA
Analysis and Optimization of Convolutional Neural Network Architectures
An Architecture to Accelerate Convolution in Deep Neural Networks
A Survey of FPGA-Based Neural Network Accelerator
A genetic programming approach to designing convolutional neural network architectures
A Survey of FPGA-Based Neural Network Inference Accelerator 11 : 3
Fast Algorithms for Convolutional Neural Networks
CaffePresso: Accelerating Convolutional Networks on Embedded SoCs
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions
CNN-MERP: An FPGA-Based Memory-Efficient Reconfigurable Processor for Forward and Backward Propagation of Convolutional Neural Networks
From model to FPGA: Software-hardware co-design for efficient neural network acceleration
Training a Fully Convolutional Neural Network to Route Integrated Circuits
FPGA based implementation of deep neural networks using on-chip memory only
Automated Systolic Array Architecture Synthesis for High Throughput CNN Inference on FPGAs
Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs
An automatic RTL compiler for high-throughput FPGA implementation of diverse deep convolutional neural networks
FPDeep: Acceleration and Load Balancing of CNN Training on FPGA Clusters
Graph Metrics for Temporal Networks
Interfacing of differential-capacitive biomimetic hair flow-sensors for optimal sensitivity
Evaluation of a Nutrition Rehabilitation Protocol in Hospitalized Adolescents With Restrictive Eating Disorders
DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning
Dependency Link Embeddings: Continuous Representations of Syntactic Substructures