Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Flexible On-chip Memory Architecture for DCNN Accelerators
Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks
A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks
Virtualizing Deep Neural Networks for Memory-Efficient Neural Network Design
COSY: An Energy-Efficient Hardware Architecture for Deep Convolutional Neural Networks Based on Systolic Array
A 3D-stacked logic-in-memory accelerator for application-specific data intensive computing
System-Level Optimization of Accelerator Local Memory for Heterogeneous Systems-on-Chip
Accelerating Deep Convolutional Neural Networks Using Specialized Hardware
vDNN: Virtualized deep neural networks for scalable, memory-efficient neural network design
High performance training of deep neural networks using pipelined hardware acceleration and distributed memory
Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators
Heterogeneous memory architectures: A HW/SW approach for mixing die-stacked and off-package memories
HAMLeT: Hardware accelerated memory layout transform within 3D-stacked DRAM
Fused-layer CNN accelerators
A Survey of FPGA-Based Neural Network Inference Accelerator 11 : 3
fpga - accelerated deep convolutional neural networks for high throughput and energy efficiency .
Resistive memory device requirements for a neural algorithm accelerator
CMP-PIM: An Energy-Efficient Comparator-based Processing-In-Memory Neural Network Accelerator
Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures
BenchNN: On the broad potential application scope of hardware neural network accelerators
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network
A computational framework for context-aware adaptation of user interfaces
Lightweight Capability Domains : Decomposing the Linux Kernel
Text Understanding with the Attention Sum Reader Network
0 60 51 03 v 4 2 5 Ju n 20 06 Overfitting and Time Series Segmentation : A Locally Adaptive Solution
Torch7: A Matlab-like Environment for Machine Learning