Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Overcoming resource underutilization in spatial CNN accelerators
Memory-centric accelerator design for Convolutional Neural Networks
CANNA: Neural network acceleration using configurable approximation on GPGPU
A Case of On-Chip Memory Subsystem Design for Low-Power CNN Accelerators
Angel-Eye: A Complete Design Flow for Mapping CNN onto Customized Hardware
Accelerating Deep Neural Networks with Spatial Bottleneck Modules
A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks
BenchNN: On the broad potential application scope of hardware neural network accelerators
DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators
YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration
Deep Convolutional Neural Network Architecture With Reconfigurable Computation Patterns
Adaptive Tiling: Applying Fixed-size Systolic Arrays To Sparse Convolutional Neural Networks
Colony of NPUs : Scaling the Efficiency of Neural Accelerators
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions
Optimizing Memory Efficiency for Deep Convolutional Neural Networks on GPUs
A dynamically configurable coprocessor for convolutional neural networks
COSY: An Energy-Efficient Hardware Architecture for Deep Convolutional Neural Networks Based on Systolic Array
Efficient Hardware Architectures for Deep Convolutional Neural Network
Optimizing Loop Operation and Dataflow in FPGA Acceleration of Deep Convolutional Neural Networks
Performance and Scalability of GPU-Based Convolutional Neural Networks
Fine-grained accelerators for sparse machine learning workloads
A Comparative Analysis of MRI Brain Tumor Segmentation Technique
Magnetic field based heading estimation for pedestrian navigation environments
Probabilistic Matrix Factorization
Solution of Economic Load Dispatch problem in Power System using Lambda Iteration and Back Propagation Neural Network Methods
Side-Channel Attacks on Everyday Applications : Distinguishing Inputs with F LUSH + R ELOAD